Turning Contact Center Challenges into Strategic Advantage in Banking

The modern banking landscape is increasingly defined by customer expectations that evolve faster than most institutions can adapt. While digital channels continue to grow, call centers remain a crucial touchpoint where trust is built, concerns are resolved, and long-term loyalty is shaped. For many existing and prospecting customers, a contact center call is their very first point of entry into banking support, placing institutions in a uniquely challenging position: they must deliver a seamless, personalized experience while enforcing the strict security and compliance requirements the industry demands. Yet from legacy systems to operational constraints, many banks still struggle to meet these expectations, facing challenges that are complex, interconnected, and often deeply rooted in decades of technical debt.  

1. Rising Customer Expectations and the Need for Omnichannel Support 

When customers reach out to their bank today, they expect to be recognized instantly, have their needs understood based on past interactions, and receive consistent answers regardless of the channel they choose. Customers expect multi-channel continuity, regardless of whether they start in a mobile app, continue through chat, and/or finish with a phone call. Unfortunately, most banks still operate with siloed systems that make this a difficult process. A fragmented technology stack forces customers to provide extra or repetitive information (sometimes details the bank already has in its records) and agents to manually piece together context, creating frustration on both sides and speed degradation. 

Overcoming this challenge requires more than simply adding new channels. Banks need to rethink how data flows across the entire customer journey and build a unified view that agents and automated processes, including AI-powered tools, can rely on. Modern contact center platforms integrated with CRM systems and digital banking applications enable seamless transitions between channels, reduce friction, and allow for proactive engagement. This shift transforms routine inquiries into opportunities to strengthen relationships and build trust. 

2. Compliance and Security in High-Volume Environments 

Few industries face the level of regulatory scrutiny that banking does. Contact centers handle sensitive financial information and personal data with every interaction, making compliance to standards such as PCI DSS 4.0, GDPR, and local banking regulations a non-negotiable part of daily operations. At the same time, customers expect a fast and efficient service, forcing institutions to constantly balance between delivering great experience while meeting strict security expectations.  

This challenge has intensified as regulators increasingly emphasize zero trust security models. In modern contact centers, where customer PII, account credentials, and transaction data are accessed across distributed agent networks, remote teams, and cloud-based applications, zero trust has shifted from an emerging concept to a foundational requirement. Under this model, every component in the ecosystem must assume that no user, device, or session is inherently trustworthy. Instead, identity must be continuously validated, activity must be monitored, and access must remain tightly controlled. 

For banks, this means implementing multilayered defenses that include strong authentication, rigorous access controls, comprehensive audit logging, and end-to-end encryption across all communications. Modern contact center solutions integrate these capabilities natively, enabling secure interactions without introducing friction to the customer journey. Advanced technologies such as voice biometrics and AI-driven fraud detection enhance this posture further by verifying identities quickly and detecting unusual activity in real time. When institutions align their contact center modernization efforts with security standards such as PCI DSS 4.0 requirements and emerging zero trust architectures, they protect both customers and the organization while still delivering responsive, personalized experiences. Done well, compliance can be turned from just a checkbox into a catalyst for trust, resilience, and long-term customer confidence. 

Compliance with other regulatory obligations, such as Anti-Money Laundering (AML) and Know Your Client (KYC), is equally essential, but these requirements cannot come at the expense of customer trust or convenience. With secure data solutions, reporting frameworks, and real-time orchestration capabilities, banks can unlock the value of this regulatory data to drive next-best-action recommendations based on customer behavior and risk profiles. This approach empowers contact centers to personalize interactions in a compliant, value-driven manner, strengthening both protection and customer satisfaction. 

This balance becomes even more pronounced when serving vulnerable populations. Banking contact centers increasingly interact with elderly customers, individuals with cognitive or speech challenges, and account holders who rely on family members, caregivers, or powers of attorney for assistance. These customers may struggle to provide standard authentication credentials such as recalling a Social Security Number or answering security questions. Modern contact center solutions, including voice biometrics, adaptive authentication flows, and AI-assisted verification, give banks the tools to serve these customers with dignity while maintaining the rigorous security standards regulators and institutions require. 

3. Workforce Management and Agent Productivity 

Managing a contact center workforce in banking is no small feat. Call volumes fluctuate significantly across seasons and business cycles, creating periods of intense demand alongside stretches of underutilization. Poor forecasting and inadequate scheduling exacerbate both extremes: long wait times during peaks and idle workforce at other times, driving up operational costs without a corresponding return. These factors, when combined with outdated workflows and manual processes, contribute to the kind of inconsistent service quality that is difficult to recover from in a high-trust industry. 

To address this, banks need intelligent workforce management and workforce engagement solutions that leverage real-time analytics and predictive modeling. AI-powered scheduling tools can optimize staffing based on historical trends and anticipated demand, while performance dashboards provide managers with actionable insights to improve training and coaching. By empowering agents with the right tools and support, banks can enhance productivity and deliver superior customer experiences. As an example, our recent case study demonstrates this in action, showing how a Voice Virtual Assistant powered by Google CCAI helped a client streamline interactions and elevate both agent efficiency and customer experience. 

4. Leveraging Data and AI for Proactive Customer Engagement 

Many contact centers operate reactively, responding to issues only after they arise. This approach misses opportunities to anticipate customer needs and prevent problems before they escalate. It can also put both customers and agents in challenging positions, particularly when interactions require information that could have been surfaced proactively. Banks possess vast amounts of customer data, but it is often dispersed across systems that do not communicate with one another, making personalization difficult. 

AI can significantly enhance both customer and agent experiences by predicting intent, suggesting next best actions, detecting potential fraud, and automating routine inquiries. Successful adoption, however, hinges on responsible implementation practices, robust data governance, and well-designed decisioning frameworks that respect both customer privacy and regulatory obligations. The goal is not to replace human agents but to elevate their work by reducing cognitive load, accelerating resolution times, and enabling more meaningful and efficient conversations. 

AI is proving to be most powerful when it works behind the scenes to support agents rather than replace them. By offloading administrative and repetitive tasks to intelligent automation, organizations enable agents to focus on higher-value, more complex customer needs. The result is faster, more efficient interactions without sacrificing the quality of human engagement. In this model, AI-powered Agent Assist tools sharpen decision-making, reduce friction, and improve productivity while preserving the trust, empathy, and personal connection that define exceptional financial services experiences. 

Conclusion 

Contact centers in banks are facing complex challenges, but they are not unconquerable. Banks can transform contact centers into strategic engines for growth by masterfully balancing four key pillars: omnichannel optimization, rigorous security, automated workflows, and cutting-edge AI. These drivers don't just solve challenges; they fuel a continuous evolution that secures long-term customer loyalty. Optimizing contact center performance requires aligning people, processes, and technology around a cohesive strategy that puts customers at the center. 

As the banking industry continues to evolve, the contact center will remain a frontline arena where customer loyalty and operational efficiency are on the line. Addressing these challenges with a thoughtful, integrated approach can unlock significant value, strengthen customer relationships while reducing the cost of delivery, and set the foundation for future innovation.  

Facing similar challenges? Let’s talk about how Kenway can help you take control of your customer experience.  

Financial Services Client Onboarding: 4 Pillars for Digital Transformation

Across financial services, the onboarding experience is the moment clients form their first real impression of an institution’s operational maturity, risk posture, and ability to manage complexity. Whether the client is an institutional investor evaluating a new asset manager, a corporation implementing commercial banking and treasury solutions, or an agent choosing a premium financing underwriter, expectations have shifted toward digital-first, transparent, and seamless digital onboarding.  

Yet many firms still rely on manual, paper-heavy, and siloed onboarding processes that slow due diligence, delay funding or activation, and create compliance risk. Clients experience redundant requests for information, unclear timelines, and disconnected touchpoints. Internally, teams wrestle with data gaps, disconnected systems, and regulatory friction as operating models have changed through reorganization and growth.   

Firms that modernize onboarding position themselves to strengthen trust, enhance regulatory confidence, and scale more efficiently. Kenway helps financial institutions transform onboarding into a more predictable, digital, and scalable experience. At Kenway, we believe onboarding should be a firm’s strongest handshake and a moment where confidence is built, not tested. 

We help our clients modernize financial services onboarding by aligning business strategy, regulatory requirements, data foundations, and technology guided by our commitment to doing right by our clients and delivering meaningful, sustainable solutions. 

Four Pillars of Modern Financial Services Onboarding 

Our approach is grounded in four pillars that help build frictionless client experiences and resilient operational models.   

1. End-to-End Client Journey Design and Optimization  

An intuitive, end-to-end client onboarding journey improves conversion, reduces cycle time, and lowers internal friction by designing onboarding as a holistic lifecycle, from initial engagement through Know Your Client (KYC), contracting, setup, funding, and activation. Many institutional and corporate onboarding programs suffer because each function (e.g., sales, risk, compliance, operations, fund accounting, treasury, underwriting) designs its own component of the process without a single owner for the full journey. As a result, clients are asked to submit similar information multiple times, while internal teams spend time reviewing duplicated information and reconciling discrepancies rather than advancing the account. 

Industry data shows that fragmented onboarding can increase cycle times for institutional clients by 30–50%, particularly where documentation, operational due diligence, and KYC requirements are repeated or inconsistent. These delays impact revenue recognition, mandate activation, policy issuance, and cash management implementation. 

A well-designed journey brings clarity and structure across all touchpoints. By mapping the digital onboarding platform across the front, middle, and back office, organizations can: 

An intuitive, end-to-end onboarding journey reduces friction by treating onboarding as a single lifecycle rather than a set of departmental tasks. The result is a consistent experience that builds confidence among institutional investors, corporate clients, and policyholders, while reducing operational overhead. 

2. Scalable Digital Architecture for Banking and Investment Firms 

A scalable digital architecture enables the systems, integrations, workflows, and user interfaces required for a modern onboarding experience and ensures institutions can evolve as regulatory requirements, products, and client expectations change.  

A well-structured architecture includes: 

A strong digital foundation is also essential for AI adoption. Capabilities such as automated form prefill, document classification, real-time risk scoring, predictive next-step prompts, or generative onboarding support require well-governed data and orchestrated workflows. With consistent architecture, institutions can introduce AI responsibly and accelerate institutional onboarding, underwriting, or treasury product setup. 

Institutions with scalable digital architecture can introduce new products faster, respond to regulatory changes with minimal disruption, nimbly adjust to client-specific complexities, reuse onboarding capabilities across lines of business, and progressively layer in advanced analytics and AI. 

3. Embedded Compliance and KYC Automation 

Onboarding compliance requirements such as identity verification, risk scoring, and documentation review are built directly into the onboarding process rather than handled through manual steps. In addition to operational and efficiency improvements gained by embedding compliance processes within onboarding workflows, automating client onboarding can help financial institutions by: 

Industry analyses show that as much as 40% of onboarding time is consumed by manual KYC, due diligence, and documentation activities. Automating these steps reduces risk exposure, strengthens approval quality, and supports a more efficient internal control environment. Clients experience greater transparency and speed, while the institution benefits from stronger compliance quality and reduced remediation costs. 

4. Unified Customer Data Management Across Financial Products 

Financial institutions often maintain multiple products for the same client, including investment accounts, trusts, treasury services, fund operations, lending facilities, and commercial banking relationships. These products frequently sit in different systems, which makes it difficult to maintain a clean, unified customer record. Inconsistencies across these systems can lead to multiple outreach requests, inaccurate profiling, slower servicing, and limited insight into the full relationship. 

Clean data enables faster onboarding, reduces manual reconciliation, and supports long-term growth initiatives such as personalization, automated servicing, and real-time risk management. A strong data foundation ensures that downstream analytics and AI models operate with accuracy and integrity. 

Business Impact: Why Digital Onboarding Transformation Matters  

Onboarding is more than an operational process. It is a strategic moment that influences a client’s confidence in the institution and sets the tone for future interactions.  

  1. Higher client confidence and engagement 

Institutional allocators, corporate clients, and policyholders quickly assess whether an institution is organized, transparent, and operationally mature. A smooth onboarding journey establishes credibility early. 

  1. Faster activation and revenue realization 

Automated workflows, embedded compliance, and clear journey orchestration shorten time-to-value, whether that is deploying capital into a fund, activating treasury services, binding a policy, or transitioning a wealth portfolio. 

  1. Improved operational efficiency and lower cost to serve 

Automation and unified data eliminate manual rework and fragmented communication. Studies show efficiency gains of up to 98% in KYC data handling when onboarding processes are modernized. 

  1. Stronger foundation for future innovation 

Digital-first onboarding provides the architecture, data discipline, and regulatory alignment required for broader transformation. Institutions with modern onboarding are better positioned to deploy AI for document extraction, identity verification, chat-based onboarding support, predictive risk scoring, and personalized financial recommendations. 

Ready to transform your financial services client onboarding? Let’s build an onboarding experience that reflects the strength, reliability, and innovation your clients expect. 

Why Knowing Your Client Still Isn’t Simple — and Why It Matters More Than Ever in Financial Services

Every financial institution strives to “know their client.” Yet for most, that goal remains surprisingly elusive. 

Across wealth, trust, and commercial lines of business, client data often lives in silos: fragmented across CRMs, onboarding systems, trust management platforms, and core banking applications.  

A single high-net-worth individual might appear in one system as a trust, in another as an LLC, and in yet another as a personal account. 

To the relationship manager, that’s one client. 

To the organization’s data ecosystem, it’s three unconnected records. 

And that disconnect creates downstream challenges that ripple across the entire institution. 

The Cost of Fragmented Client Data 

When data about clients and their related entities isn’t connected, financial institutions lose the ability to see relationships clearly and act confidently. 

The result? An organization operates as if it has many clients, when in reality, it’s serving the same client multiple times, inefficiently, and inconsistently. 

Why Financial Services Leaders Should Care 

In today’s environment, this isn’t a back-office inconvenience. It’s a strategic issue that touches revenue, risk, and reputation. 

Regulators such as the OCC and OSFI are emphasizing operational resilience and data transparency. Clients expect personalized digital experiences across products and channels. Boards are demanding sharper risk insight and AI enablement. 

All of these imperatives rest on one deceptively simple question: 

Who is our client, really? 

Firms that can answer this with confidence will have the foundation to: 

How to Solve It: A Pragmatic Path Forward 

Kenway’s Data & Analytics practice helps financial institutions solve this challenge by bringing structure and governance to what is often an ambiguous problem. The approach begins not with technology, but with clarity: 

  1. Define “Client” in Business Terms 

Establish a common enterprise definition that distinguishes between “client,” “account,” “entity,” and “relationship.” Align this definition across Wealth, Trust, and Commercial divisions to ensure consistent interpretation. 

  1. Map Relationships and Ownership Structures 

Use data modeling or graph-based representations to reveal how individuals, trusts, LLCs, and family offices connect. Capture beneficial ownership, control hierarchies, and affiliated relationships in a way that can be queried and governed. 

  1. Create a Governed “Client 360” Data Product 

Treat “Client” as a reusable, governed data product, not a project. Define its attributes, quality standards, and consumption patterns clearly. Establish data contracts that make it available to both operational and analytical systems. 

  1. Enable Access Through a Modern Cloud Data Platform 

Build the technical foundation on secure, scalable cloud platforms such as Azure, Databricks, or Microsoft Fabric. These enable real-time access to trusted client data for analytics, reporting, and business applications. 

  1. Operationalize and Measure 

Integrate the unified client view into daily workflows, onboarding, relationship management, compliance review, and marketing. Track measurable outcomes such as reduced onboarding time, increased cross-sell, and lower KYC rework. 

Turning Connected Client Data into a Competitive Advantage 

The institutions that master the “client view” challenge won’t just tidy their data; they’ll unlock the ability to act with precision and confidence. They’ll be able to see clients as whole relationships, not fragmented accounts, and deliver experiences that match that understanding. 

At Kenway, we help financial institutions clarify, connect, and operationalize their client data. By uniting business alignment, governance, and modern data architecture, we transform the abstract question of “Who is our client?” into a strategic capability that fuels growth, compliance, and client trust. 

Because truly knowing your client isn’t just a regulatory requirement, it’s the foundation for everything financial services aspire to be. 

Mastering AI Governance for Transformative Results

Summary

When navigating the complexities of AI initiatives, this financial services organization found itself hindered by inefficiencies and regulatory challenges. By creating a tailored AI governance framework, Kenway Consulting helped transform the client’s operations, achieving increased efficiency, reduced compliance risks, and a stronger focus on innovation and long-term success.

At the heart of this transformation was Kenway’s unwavering commitment to partnership and collaboration. By customizing their solutions to the client’s needs and taking the lead as a trusted advisor, Kenway turned a daunting challenge into an opportunity for growth.

The Challenge

This financial institution struggled to operationalize its AI initiatives effectively. Fragmented processes and the absence of a standardized governance framework created inefficiencies and regulatory exposure. Without a robust AI product team, the organization faced roadblocks that limited both scalability and the realization of business value from high-impact AI use cases.

Inefficient Workflow Management: An unstructured intake and prioritization process that delayed progress and increased redundancies.

Lack of Visibility: Poor oversight and misaligned priorities that compromised overall project execution.

Compliance Concerns: Missing audit readiness, exposing the organization to potential penalties and reputational risks.

What this organization needed was more than a solution provider. They needed a forward-thinking partner with a proven strategy to establish structure, mitigate risk, and unlock value.

The Solution

Kenway Consulting stepped in as a transformational partner, bringing clarity to a complex situation. Leveraging their in-depth expertise and collaborative approach, Kenway established a scalable, five-pillar AI operating model that was both innovative and practical.

Centralized AI Governance

Kenway Consulting spearheaded the creation of a centralized AI governance framework to embed compliance and risk management into every aspect of the client’s AI operations. This approach ensured that processes not only met stringent regulatory requirements but also remained adaptable to the evolving AI landscape, building in rigor that allowed the client to focus on innovation.

Streamlined Prioritization Platform

Kenway designed and implemented a prioritization hub that assessed potential AI projects based on financial impact and operational value. This powerful platform empowered the client to allocate resources strategically, ensuring high-value initiatives were fast-tracked while secondary projects were managed efficiently. By using detailed metrics to guide decision-making, Kenway enabled the client to maximize transformational impacts across their enterprise, showcasing a forward-thinking approach to resource optimization.

Comprehensive AI Delivery Platform

To anchor the client’s AI initiatives in both efficiency and compliance, Kenway deployed a robust delivery platform equipped with advanced monitoring controls and built-in safeguards. This system centralized operations, allowing streamlined execution of AI projects without duplication or redundancy. Integrated compliance checks ensured that every project met regulatory obligations from inception to completion. This holistic solution not only expedited project timelines but also established a foundation for sustainable scalability in AI-driven innovation.

Strategic Risk Mitigation

Kenway’s strategy went beyond addressing current challenges by embedding risk mitigation measures throughout every stage of the AI lifecycle. These proactive safeguards protected the organization from unanticipated disruptions, ensuring smooth execution of initiatives. This forward-looking approach solidified the client’s confidence in their AI initiatives and safeguarded their investment in cutting-edge technologies.

The Results

Kenway’s tailored approach delivered measurable, impactful results for the client, cementing their role as not only a provider of solutions but as an essential business partner.

Boosted Efficiency: By freeing internal teams from repetitive tasks, the organization could refocus on strategic goals.

Faster Project Delivery: Streamlined processes enabled the completion of initiatives on time and at scale.

Maximized ROI: Prioritizing high-value projects resulted in substantial financial and operational improvements.

Regulatory Confidence: Embedded governance ensured compliance risks were mitigated while achieving audit readiness.

Enhanced Oversight: Improved transparency and accountability were achieved through robust and accessible documentation.

The client emerged not only more efficient but also more confident in leveraging AI for long-term business growth.

Kenway's Expertise in Action

For this financial institution, navigating the complexities of AI initiatives required more than standard solutions. They needed a partner who could align innovative strategies with their compliance-heavy, high-stakes environment. Kenway Consulting delivered precisely that, empowering the organization to streamline operations, mitigate risks, and unlock the full potential of their AI investments.

Why Kenway?

Tailored Governance Solutions: Kenway designed a centralized AI governance structure that addressed the client's unique regulatory and operational challenges, ensuring compliance and consistent execution.

Strategic Resource Allocation: By developing a prioritization platform, Kenway enabled the organization to direct resources toward initiatives with the greatest financial and operational value.

Comprehensive Risk Management: Kenway’s proactive risk mitigation strategies ensured that potential disruptions were addressed before they became critical issues.

Holistic AI Delivery Support: With built-in compliance checks and streamlined workflows, Kenway simplified project execution while building scalability into the organization’s AI framework.

Kenway’s ability to simplify complexity and deliver actionable, innovative solutions solidified their role as the trusted partner for driving transformation within the organization.

Key Takeaways

Kenway Consulting doesn’t just offer solutions; they redefine partnership and deliver results that leave an enduring impact in an increasingly complex world.

Looking to solve your toughest challenges and achieve unparalleled success? Connect with Kenway Consulting and see how their innovative solutions can turn your vision into reality.

Overcoming Contact Center Challenges in Banks  

You’re navigating complex customer service challenges, and you’re not alone. At Kenway, we’re here to support your journey. By reimagining your contact center operations, streamlining reporting, and integrating Intelligent Virtual Assistants (IVAs), you gain the tools and insights to elevate your customer experience and lead meaningful transformation. 

Overcoming Challenges Together 

Customer Expectations for Personalized Experience 

Banks  are under increasing pressure to deliver personalized experiences that reflect each customer’s unique needs, whether that means recognizing past transactions, anticipating future financial moves, or engaging through preferred communication channels. However, fragmented data, legacy systems, and siloed operations often stand in the way of achieving a unified customer view. Without real-time data orchestration, banks struggle to surface next-best-action recommendations that align with customer behavior, risk profiles, or life events. This not only leads to missed opportunities and inconsistent service but also limits the ability to leverage KYC/AML insights to personalize interactions in a compliant, secure, and value-driven way. 

You’re committed to delivering the personalized experiences today’s customers expect, but legacy systems and disconnected data can stand in the way. That’s where Kenway comes in. Our expertise in customer experience consulting empowers you to transform your contact centers into a strategic hub of tailored service. By leveraging data from disparate platforms such as transaction histories and customer preferences, you equip your agents with the insights to deliver a seamless experience, with a unified system. This enables contact center agents to deliver seamless, real-time interactions informed by behavioral insights and customer context driving personalization that aligns with both customer expectations and regulatory frameworks. By doing so, firms can elevate satisfaction and loyalty without sacrificing operational efficiency or compliance. 

Fraud, Security, and Compliance 

In the banking industry, firms must strike a delicate balance between robust security and seamless customer experiences particularly as fraud, identity theft, and data breaches grow more sophisticated. Adhering to regulations like GDPR, CFPB, PCI DSS, and compliance mandates such as AML and KYC is essential, but it can’t come at the cost of customer trust or convenience. Our data solutions and reporting services enable real-time data orchestration and next-best-action recommendations based on customer behavior and risk profiles. By securely leveraging AML and KYC data, contact centers can personalize interactions in a compliant, value-driven manner, enhancing both protection and satisfaction. 

Security and a seamless customer experience can still go hand in hand—especially when guided by the right strategy. As regulators increasingly emphasize zero-trust security models in environments where customer PII and financial transactions are accessed across distributed agent networks, Kenway’s solutions help financial institutions stay ahead. We integrate advanced authentication, audit logging, and encryption controls to ensure compliance with frameworks like PCI DSS 4.0 while supporting secure, efficient interactions. Through actionable reporting and data-driven insights, we help firms proactively identify vulnerabilities and align their contact center modernization efforts with both regulatory demands and service excellence. 

Omnichannel Support Expectations & Digital First 

Many of today’s banking customers expect fluid, personalized experiences across all service channels, whether initiating a request in a mobile app, continuing it in a branch, or resolving it over the phone. To meet this demand, many firms are undergoing channel rationalization efforts aimed at unifying experiences across contact centers, digital platforms, branches, and relationship manager (RM) tools. Kenway’s omnichannel implementation and management services help integrate these touchpoints into a cohesive service architecture, using CRM integrations and middleware to unify customer data and enable seamless transitions between channels. 

Our approach also focuses on governing channel behavior intelligently routing complex inquiries to specialists and tailoring engagement strategies to meet the preferences of distinct customer segments, such as Gen Z digital natives or high-net-worth individuals. Critically, we ensure that this level of personalization aligns with regulatory expectations. Contact center logic must not only enhance the customer experience but also stand up to scrutiny under Fair Lending, UDAAP, and emerging CFPB guidance around AI and digital-first tools. Kenway helps financial institutions embed auditability and explainability into personalization strategies, ensuring that AI-powered chatbots and virtual assistants deliver transparent, equitable, and compliant service without obstructing access to human support or compromising customer trust. 

Legacy Infrastructure 

Many financial services firms grapple with outdated core banking systems that limit their agility and ability to adapt to modern customer demands, stalling digital transformation efforts. Our deep experience in digital transformation equips these institutions to modernize their contact centers effectively. By assessing and updating legacy infrastructure, we enable seamless integration of new technologies that enhance service delivery and responsiveness. This expertise allows financial institutions to shed the constraints of obsolete systems, unlocking the flexibility needed to innovate and meet evolving market expectations while maintaining a competitive edge. 

Cost Pressure and Efficiency 

Banks are under increasing pressure to do more with less, driven by margin compression and growing fee transparency regulations. While reducing operational costs remains critical, maintaining high-quality customer support adds complexity—especially when navigating the risks of outsourcing or deploying AI. As a result, contact centers are being evaluated not just on efficiency, but on their ability to deliver value through insights that uncover cross-sell, upsell, and retention opportunities. Our contact center optimization services, combined with its AI-driven solutions and partnerships with Cyara and Teneo.ai, provide a strategic answer. We help firms streamline processes, optimize resource allocation, and deploy AI tools to handle routine inquiries, reducing call volumes and operational expenses. Simultaneously, its focus on maintaining service quality ensures that cost-cutting measures don’t compromise customer satisfaction. By blending technology and human expertise, we deliver efficient, cost-effective contact center operations tailored to the financial sector’s unique demands. 

Turning Challenges into Opportunities 

You’re navigating a complex balancing act of managing cost pressures, meeting compliance standards, keeping up with technology, and exceeding rising customer expectations. It’s no small task. That’s why Kenway doesn’t just offer solutions, we become your strategic partner in turning these challenges into meaningful wins. Whether you are deploying voice or chat bots, tapping into data-driven insights, or tailoring operational strategies, our focus is on enabling you to deliver exceptional experiences. Because when you lead with exceptional experiences and your contact center thrives, so does your entire business. 

Ready to transform your contact center into a strategic asset? Contact us today to start the conversation. 

Elevating Client Experience in Private Wealth Management Through Seamless Onboarding

In private wealth management, first impressions are everything. 

When high-net-worth clients engage with a private wealth manager, they expect more than just strategic financial guidance—they expect seamless, white-glove service from the very first interaction. Too often, though, the onboarding process is outdated, opaque, and unnecessarily complex. These early missteps can cause friction at a critical moment in the client relationship and erode trust before it has a chance to take root.

In what’s been called the greatest wealth transfer in history, some $84 trillion in assets is set to change hands over the next 20 years, the primary recipients of which will be digital natives who prioritize seamless, transparent, and tech-enabled experiences. 

As tech-savvy investors inherit and manage increasing amounts of wealth, the demand for digital-first experiences is reshaping the industry. Firms that get digital-first onboarding right will be rewarded with stronger client loyalty, deeper client engagement, and a clear competitive edge.

Kenway’s Approach to Client Onboarding in Wealth Management

At Kenway Consulting, we help private wealth firms transform onboarding from a fragmented, manual process into a streamlined, scalable client experience—purpose-built for today’s digital-first investors. Our proven approach is supported by four key pillars:

1. End-to-end journey design

We map the entire onboarding journey across front, middle, and back offices to eliminate inefficiencies, increase transparency, and ensure every stakeholder—client, advisor, compliance—is aligned.

2. Scalable Digital Architecture

We design and implement future-ready platforms using tools like Salesforce Experience Cloud, allowing firms to introduce capabilities like e-signatures, real-time status updates, and self-service document upload.

This approach helps meet the needs of today’s clients, who—regardless of age—expect fast, intuitive digital experiences. In private wealth management, that means onboarding journeys that are:

This type of well-executed onboarding experience sets the tone for the entire relationship. It signals professionalism, attention to detail, and a commitment to delivering white-glove service.

3. Embedded compliance

We embed regulatory requirements like KYC, AML, and privacy checks directly into onboarding workflows—automating compliance without sacrificing client experience.

Balancing KYC, AML, and data privacy regulations with client experience is a constant challenge in wealth management. Manual compliance processes not only slow onboarding but increase risk.

With the right workflow automation, firms can:

4. Single source of truth

While private wealth firms excel at delivering personalized advice, many still rely on manual, paper-heavy onboarding processes that delay time-to-value and create unnecessary frustration. Common challenges include:

In an environment built on trust and reputation, these inefficiencies don’t just slow down operations—they risk losing clients to more agile, tech-enabled competitors.

We create a unified, validated data record from the start—reducing duplication, powering personalization, and laying the groundwork for proactive, data-driven portfolio management.

Tangible transformation: A digital-first onboarding experience

A regional bank partnered with Kenway to transform their onboarding process to deliver a differentiated client experience and a more resilient, efficient onboarding operation. By building a client portal in Salesforce with embedded Docusign capabilities and automating internal workflows, they:

In private wealth management, your onboarding experience isn’t just operational—it’s strategic. It’s your first opportunity to show clients that your firm is modern, capable, and ready to meet their needs at every step of their financial journey.

At Kenway, we don’t just implement technology—we design measurable outcomes. From accelerating onboarding to increasing compliance pass rates and lifetime value, we help private wealth firms build onboarding experiences that drive long-term growth.

Let’s transform client onboarding for private wealth management into a strategic advantage, together.

Enabling Scalable and Rapid Data Product Delivery for Global Financial Services

The Problem​

A large financial services organization, serving a global network of high-net-worth clients, faced challenges in efficiently delivering data products across the enterprise. The existing setup hindered rapid data product delivery and limited the ability to effectively scale data initiatives across the business. The organization needed a scalable solution that would:​

​How Kenway Helped​

Kenway implemented a Delta Lakehouse data platform on Azure Synapse, utilizing a medallion architecture (Bronze, Silver, and Gold layers). This platform enabled the organization to centralize, standardize, and govern data, while keeping data engineering complexity low and facilitating data access for multiple teams.​

  1. Metadata-Driven Ingestion - We developed a metadata-driven ingestion framework processes using data contracts for different source types (flat files, databases, and application events). This minimized the complexity of onboarding new data sources, which now only required configuration updates to integrate additional data rather than code changes.
  2. Data Exploration Layer - A Silver Data Lake layer, accessible via serverless cloud technologies, enabled easy data exploration through familiar tools like SQL Server Management Studio and Power BI. This ensured teams could quickly analyze data without needing highly-specialized skills.​
  3. Project Centric Databases - Serverless databases were provisioned for specific projects, on top of the Silver Data Lake Layer. Teams could tailor and use data as needed while ensuring governance through Source Control backed data contracts. These data contracts enabled change control with familiar practices like branching, versioning, and code reviews.​

Results​

This solution significantly reduced the effort needed to onboard new data sources and simplified data engineering. Teams across the organization could independently access and model data, speeding up data product delivery without disrupting each other's workflows. Governance and control over shared data assets were enhanced through established version control processes, ensuring consistency and compliance across the data lifecycle.​

Achieving Dodd-Frank Section 1071 Compliance: How Kenway Consulting Can Help Your Financial Institution Succeed

In the evolving regulatory landscape, compliance is more than a mandate—it's an opportunity to drive transformation. The Dodd-Frank Section 1071 regulation, effective between 2024 and 2026, introduces a new layer of complexity for financial institutions, requiring detailed reporting on lending practices to promote transparency and equity for women-owned, minority-owned, and small businesses.

For many institutions, meeting these requirements feels daunting. How do you implement a scalable, cost-effective solution that ensures compliance while supporting future growth? At Kenway Consulting, we specialize in turning challenges into opportunities. This blog outlines actionable steps for achieving Section 1071 compliance, backed by insights from a recent project with an international bank.

Understanding the Dodd-Frank Section 1071 Regulation

The Dodd-Frank Section 1071 regulation mandates the covered financial institutions collect and report detailed information on small business loan applications, adding an additional level of detail and compliance requirements for banks, credit unions, and nonbank lenders. Aimed at fostering transparency and equity, this regulation emphasizes non-discriminatory lending practices, particularly for women-owned and minority-owned businesses. Effective between 2024 and 2026, Section 1071 requires financial institutions to gather up new key data points on small business credit applications, from loan terms and ownership demographics to pricing information, and report this data to the Consumer Financial Protection Bureau (CFPB) for regular oversight.

Key Provisions of 1071 Regulation:

The Challenges Institutions Face

For many institutions, the journey to compliance includes overcoming significant challenges:

  1. Regulatory Pressure: Deadlines for compliance loom large.
  2. Data Complexity: Managing sensitive data securely across decentralized systems.
  3. Scalability Needs: Balancing immediate needs with future growth.
  4. Cost Constraints: Finding a solution that doesn’t break the bank.

How Kenway Consulting Tackled the Problem

When a leading international bank approached Kenway, they faced all these challenges. The stakes were high—they needed a solution fast, one that was scalable, cost-effective, and aligned with their unique operational needs. 

Assessing the Options

Kenway evaluated two Salesforce-based approaches to support Section 1071 compliance: Salesforce Survey and Salesforce Experience Cloud leveraging OmniStudio in Financial Services Cloud (FSC).

Salesforce Survey emerged as a strong choice for institutions prioritizing simplicity and cost-effectiveness:

For institutions seeking advanced functionality, Salesforce Experience Cloud leveraging OmniStudio in FSC offered robust scalability and validation options:

Tailoring the Solution

Kenway recommended Salesforce Survey, combined with Salesforce Marketing Cloud for survey distribution and tracking. This approach prioritized:

Steps to Implement a Scalable Compliance Solution

For financial institutions embarking on their compliance journey, the following roadmap can help ensure success:

  1. Assess Your Needs
    • Identify the scope of your compliance requirements.
    • Evaluate your current systems for gaps in data collection, reporting, and security.
  2. Choose the Right Technology
    • Select a platform aligned with your budget, functionality, and scalability needs.
    • Salesforce offers flexible options, from basic surveys to advanced systems like Experience Cloud.
  3. Streamline Data Collection
    • Implement tools that automate data entry, reduce errors, and ensure consistency.
    • Incorporate built-in tracking to monitor compliance progress.
  4. Strengthen Security Protocols
    • Define robust access controls and data retention policies.
    • Use encryption to protect sensitive demographic and loan data.
  5. Plan for Scalability
    • Design a solution that adapts to evolving regulatory demands and business growth.
    • Include pathways for future upgrades to more advanced systems.
  6. Partner with Experts
    • Engage consultants with experience in financial services and compliance to guide your implementation.

How Kenway Can Help

At Kenway Consulting, we bring deep expertise in compliance, data management, and Salesforce solutions to every project. Beyond system implementation, our comprehensive services include:

Achieve Compliance with Confidence

Section 1071 compliance doesn’t have to be overwhelming. With the right approach and a trusted partner, you can transform regulatory requirements into opportunities for growth and innovation.

At Kenway Consulting, we’re committed to helping financial institutions achieve their compliance goals while positioning themselves for future success. Let’s work together to create a solution tailored to your unique needs.

Contact us today to learn how Kenway can help you navigate Section 1071 compliance with ease and confidence.

Case Study – Streamlining Success: Transforming Transfer Agency Processes 

Client Profile 

Background 

As a leading player in the financial services industry, the client has a reputation for delivering exceptional custodial services. Within their portfolio lies their critical role as a transfer agent, supported by specialized teams including: 

Each time the client acquires new business, their transfer agency team undertakes the intricate process of onboarding and converting services from the previous custodian. This transition demands immense coordination and precision, often straining resources and impacting downstream processes. 

When the client secured a significant new business, they quickly faced unprecedented challenges, including higher-than-expected volumes and unique client demands. 

Challenges 

The onboarding process for the new business revealed several operational hurdles: 

The situation threatened to impact client commitments and relationships, requiring immediate intervention. 

Approach and Solution 

With Kenway’s help, the client reimagined their transfer agency processes. Together, we developed a scalable operating model that empowered the client to drive successful change in their organization. 

We embarked with a comprehensive review of the client’s current state in a timely and efficient manner that drove definition of roadmap for future improvements: 

  1. Current and Future State Analysis: 
    • Conducted SME interviews across all teams to map existing workflows. 
    • Standardized over 300 procedure documents to streamline operations. 
    • Facilitated tabletop discussions to uncover inefficiencies and align team processes. 
    • Recommended prioritized improvements with measurable ROI. 
  1. Future State Documentation: 
    • Created end-to-end process flows for transfer agency subgroups, enhancing transparency and accountability. 
    • Developed a conversion runbook, ensuring consistency and quality in future client transitions. 
    • Added new procedure documents, user guides, and client reporting templates to close documentation gaps. 
  1. Change Management Execution: 
    • Established a Resolutions Team and Quality Assurance Team to address critical gaps, supported by detailed onboarding materials. 
    • Built the Transfer Agency Knowledge Center on SharePoint, transforming a difficult to maintain shared drive into a centralized repository for streamlined knowledge management and easy self-service. 

Results and Impact 

The partnership between the client and Kenway delivered tangible, lasting results: 

A Partnership for Lasting Success 

Through close collaboration, the client demonstrated their ability to adapt and innovate in the face of challenges. By leveraging Kenway’s Product and Program Management expertise, operational inefficiencies were turned into opportunities for growth. 

The client’s feedback speaks to the power of this partnership --"Amazing, a model for what a lot of teams should have." 

The redesigned processes and tools allowed the client to ensure delivery commitments were met, creating tangible results for the servicing of their client and the management of business operations.  

Ready to Transform Your Business? 

Partner with us to drive innovation, streamline processes, and achieve results tailored to your unique needs. Contact us today to see how we can help you succeed. 

Case Study - Scalable Data Product Delivery

Client Profile:

A leading global financial services firm that provides wealth management, asset servicing, asset management, and banking solutions to corporations, institutions, and affluent individuals, founded over 100 years ago. This stalwart institution, bloated with legacy processes and technologies, focuses strongly on a highly tailored client centric approach. This means that enabling scalable data-driven solutions is of the utmost importance as they gear up for the future.

Problem Overview

A deep understanding of the customer is a powerful tool when it comes to cross selling and extracting additional value from an established relationship. Hence, an example of a data product our client was looking to deliver as part of this new data platform was a solution that modeled characteristics of existing customers - using a wide cross section of existing data - to identify a population of ‘similar’ customers. Starting with an ‘ideal’ customer, ideal because they might generate a significant revenue stream, and using this to determine a population of ‘similar’ customers the client planned to cross sell additional products and services to this newly identified group. This particular product was an experimental ML model that they hoped would yield a return. 

Thinking more broadly about the scalable delivery of this type of data product and future - yet undetermined ideas - our client had several specific functional requirements that a data platform would need to meet in order to enable this type of experimentation and potential value delivery across the  organization.

  1. Centralize data from various sources, while keeping the data engineering effort as low as possible
  2. Standardize data in a unified Data Lake layer, while facilitating exploratory/sandbox access
  3. Enable various teams, including data scientists & BI dashboard authors, access to prepare and model data to fit their specific needs for Data Product Delivery, without impacting each other’s’ development lifecycles

Background:

High quality data is the first step in enabling data product delivery. Whether it be a customer segmentation analysis, performed by the marketing department to drive a more targeted campaign for a new product launch, or a cash flow modeling exercise performed by the FP&A group to manage liquidity while optimizing business performance; all depend on high-quality, accessible, and understood data.

The typical steps taken to source organizational data for development of any data product or analysis are as follows:

  1. Identifying sources & owners
  2. Building integrations
  3. Operationalizing the integrations
  4. Analyzing and preparing the data for the intended use
    1. By this point it often becomes necessary to refine existing integrations or even source additional data
    2. This all leads to added rework and time spent waiting to actually derive real value from the analysis
  5. Finally, the company is ready to deploy the analysis or insight – in our example the customer segmentation analysis, or cash flow model.

Only once the data product is deployed can it produce organizational value (in the form of increased revenue or reduced costs) and hence a positive return on investment, which overcomes the initial investment required to bring the product to life. Activities until this point will not yield significant value by themselves. New integrations or data engineering work won't produce value unless used appropriately and centralized data is of little value unless someone does something useful with it.

The data lifecycle is rarely linear; integration refinement and data sourcing efforts are ongoing and iterative, hence a solution or approach with the characteristics listed below is needed:

Approach & Technologies Leveraged:

Our approach to data management and product delivery centers on several guiding principles as follows:

Metadata Driven Ingestion

Reusable Data Engineering Patterns

Data Product Alignment

Leverage Best-In-Class Cloud Tooling & Practices

In our client’s use case, the solution utilized a Delta Lakehouse platform built on Azure Synapse, leveraging a medallion Data Lake Architecture – Bronze, Silver and Gold Layers – along with metadata driven ingestion and standardization processes driven via repository housed data contracts. Specific technology and approaches are listed below.

Data Contract Driven Development

A data contract is a document between a data producer(s) and data consumer(s). The primary purpose of a data contract is to ensure dependable, high-quality data that garners trust from all stakeholders. Data contracts are a technology agnostic solution that:

Azure Synapse Modern Data Platform

Kenway Consulting recommended the use of Azure Synapse Analytics as the central data processing platform. This choice was driven by the platform's integrated capabilities, which combine big data and data warehousing, allowing for seamless ingestion, preparation, and serving of data. The platform's architecture supports both on-demand and provisioned resources, offering flexibility in efficiently managing diverse workloads.

Serverless SQL for Data Modeling

With the standardized (silver) data residing in Azure Blob Storage, Kenway implemented serverless SQL models within Azure Synapse. This serverless approach allowed for on-the-fly querying and modeling without the need for dedicated compute infrastructure. The serverless SQL capabilities seamlessly integrated with the existing Azure Synapse environment, providing a cost-effective solution for modeling, and preparing data for analysis.

The Solution:

Keeping the above goal of streamlining low value activities to allow for more time spent developing ROI-generating products, our solution incorporated the following feature sets:

  1. Metadata-driven ingestion via data contracts was developed per source architype – flat file sources, database sources, and application events. This minimized the effort needed to onboard new data sources and reduced data engineering complexity as additional source objects could be added via configuration. A Silver Delta File layer, exposed via external tables in a Serverless SQL workbench, allowed easy exploration of the data via familiar tools such as SQL Server Management Studio and Power BI.
  2. Gold Product, use case-specific, Serverless databases driven off the same underlying Silver Delta files, allowed different teams to model and conform data as required for their use cases, while governance was established over the underlying shared silver assets using GIT managed data contracts; exposing familiar change control patterns as would be employed in any SDLC, such as branching, version history, code review and merge approval processes.
A diagram of a computer system Description automatically generated

Key to this solution and approach was a data contact-driven development approach which specifically enabled the following:

Conclusion

Kenway created a unified data platform that supports rapid and efficient data product delivery, aligning perfectly with the client's needs.

How Kenway Consulting Can Help

At Kenway Consulting, our Modern Data Enablement services are designed to help organizations capitalize on data as a strategic asset. We leverage cloud technology and a composable data ecosystem to optimize data utilization and analytics. Our approach focuses on integrating data and analytics into your business strategy, driving data quality, automating data consolidation, and delivering actionable insights to key stakeholders.

Why Choose Kenway?

In summary, by partnering with Kenway Consulting, our client benefited from a comprehensive and scalable data solution that streamlined their data processes, enhanced data quality, and enabled rapid deployment of data products. This case study underscores our commitment to delivering tailored, high-impact solutions that drive business value and support strategic objectives in the financial services industry. If you’re interested in discovering how Kenway Consulting can help your organization leverage scalable data solutions and enhance your financial services data management, please reach out to us.