AI Banking Platform Strategy: Streamline Customer Experiences (2026)

AI Banking Platform Strategy: Streamline Customer Experiences (2026)

Artificial Intelligence

Dec 12, 2025

A team of experts stands in a stylish office with expansive windows, discussing AI banking solutions, while digital graphs and data streams seamlessly appear in the air. This meeting focuses on innovative ways to enhance banking services for our Canadian clients using cutting-edge technology.
A team of experts stands in a stylish office with expansive windows, discussing AI banking solutions, while digital graphs and data streams seamlessly appear in the air. This meeting focuses on innovative ways to enhance banking services for our Canadian clients using cutting-edge technology.

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A platform approach modernizes AI banking by unifying the engagement layer and integrating journeys end-to-end. As Backbase’s Jouk Pleiter argues, banks that platformize their customer experience can embed AI where it matters—decision-making, personalization, and service—scaling value faster than channel-by-channel experiments. This is how established banks regain speed and relevance.

Executive argument: the platform is the product

Banks don’t win AI-era loyalty by attaching tools to outdated systems. They win by treating the platform itself as the product—a vertically integrated engagement layer that manages every sales and servicing journey, front-to-back, with AI woven in. That’s the core of Jouk Pleiter’s argument: platform thinking breaks down silos, standardizes journeys, and creates control points where AI can add real value without disrupting the system.

The strategic shift is twofold. First, modernize the engagement layer—the point where customers actually engage with your bank—so journeys are managed end-to-end rather than by channels or products. Second, add an “intelligence fabric” to that platform so AI enhances each step: onboarding, service, advice, fraud, collections. This is how established banks regain speed without continuous core replacement projects.

Why now: AI has changed the economics of modernization

In 2026, AI is not an add-on; it’s the new operating system of growth and cost-to-serve. Banks that scale AI do three things differently: connect use-cases to value, standardize a capability stack (data, models, orchestration), and encourage adoption with new ways of working. That blueprint benefits platforms that centralize orchestration and reuse across journeys—rather than one-off pilots in scattered channels.

Market signals support this: vendors are providing AI-powered engagement platforms and partnerships to bridge the human-digital gap (e.g., Backbase’s AI-powered platform and Unblu integration), while major banks are deploying generative AI into frontline experiences on a large scale (e.g., NatWest). The direction is clear: platformize, then productize AI across journeys.

What a platform approach looks like (and what it isn’t)

A true platform is journey-based and progressive: select a priority journey—say SME onboarding—and modernize it front-to-back, reusing components across segments. It avoids “rip-and-replace” doctrine, but also avoids the opposite trap: incremental tinkering that never transforms customer experience. Composability is important, but without a unifying engagement layer, composability devolves into integration theatre.

Backbase’s approach is instructive: an engagement platform that unifies journeys and provides standard control points for AI—decision-making, personalization, and agentic workflow—rather than spreading point bots across channels. The goal is a bank-owned platform where AI can be governed, audited, and updated quickly.

Leadership playbook: five choices that separate winners

  1. Own the engagement layer. Make it your main product. Your channels are simply interfaces; the journey logic and data live on the platform. This is how you deliver improvements weekly, not yearly. backbase.com

  2. Adopt journey-based modernization. Fund by outcome (e.g., “Reduce onboarding abandonment 30%”), not by system. Reuse components across retail, SME, and wealth. backbase.com

  3. Establish an intelligence fabric. Centralize retrieval, models, and agent orchestration so AI is permissioned, explainable, and reusable across journeys. McKinsey & Company

  4. Design for human-digital collaboration. Integrate automation with guided conversations—think co-browsing, secure chat, and AI assistants that escalate to humans seamlessly. FF News | Fintech Finance

  5. Govern for scale. Treat prompts, policies, and metrics as product artifacts. Measure conversion, time-to-resolution, fraud catch-rate, and NPS by journey, not channel. McKinsey & Company

What great looks like: signals of maturity in 2026

  • Unified customer journeys across sales and service, with shared components and release schedules.

  • AI agents in production handling specific tasks (pre-fill, triage, collections nudges) with human-in-the-loop controls.

  • Design-ops for journeys, not pages: versioned flows, experiment frameworks, and telemetry that foster continuous improvement.

  • Vendor ecosystem as a feature, not a dependency: targeted partnerships to close gaps without losing platform control.

FAQs

Q1: How does the platform approach benefit banks?
It treats the engagement layer as a product, standardizing journeys and creating governed touchpoints for AI. The result: faster change cycles, higher conversion, and lower cost-to-serve compared to channel-led projects. McKinsey & Company

Q2: What role does AI play in this approach?
AI is integrated into the platform’s “intelligence fabric”, powering personalization, decision-making, and agentic workflow that can be reused across journeys—rather than being scattered in each channel. backbase.com

Q3: Why is modernization urgent now?
Competitive advantage is shifting to banks that can deploy AI effectively. Platformization shortens time-to-value and reduces integration challenges, allowing established banks to match the speed of digital-native entities. BCG Global

Sources:

Next Steps

Ready to platformize your engagement layer and deliver AI-powered journeys in months, not years? Generation Digital can help you prioritize the first journeys, establish the intelligence fabric, and create the operating model that sustains it.

A platform approach modernizes AI banking by unifying the engagement layer and integrating journeys end-to-end. As Backbase’s Jouk Pleiter argues, banks that platformize their customer experience can embed AI where it matters—decision-making, personalization, and service—scaling value faster than channel-by-channel experiments. This is how established banks regain speed and relevance.

Executive argument: the platform is the product

Banks don’t win AI-era loyalty by attaching tools to outdated systems. They win by treating the platform itself as the product—a vertically integrated engagement layer that manages every sales and servicing journey, front-to-back, with AI woven in. That’s the core of Jouk Pleiter’s argument: platform thinking breaks down silos, standardizes journeys, and creates control points where AI can add real value without disrupting the system.

The strategic shift is twofold. First, modernize the engagement layer—the point where customers actually engage with your bank—so journeys are managed end-to-end rather than by channels or products. Second, add an “intelligence fabric” to that platform so AI enhances each step: onboarding, service, advice, fraud, collections. This is how established banks regain speed without continuous core replacement projects.

Why now: AI has changed the economics of modernization

In 2026, AI is not an add-on; it’s the new operating system of growth and cost-to-serve. Banks that scale AI do three things differently: connect use-cases to value, standardize a capability stack (data, models, orchestration), and encourage adoption with new ways of working. That blueprint benefits platforms that centralize orchestration and reuse across journeys—rather than one-off pilots in scattered channels.

Market signals support this: vendors are providing AI-powered engagement platforms and partnerships to bridge the human-digital gap (e.g., Backbase’s AI-powered platform and Unblu integration), while major banks are deploying generative AI into frontline experiences on a large scale (e.g., NatWest). The direction is clear: platformize, then productize AI across journeys.

What a platform approach looks like (and what it isn’t)

A true platform is journey-based and progressive: select a priority journey—say SME onboarding—and modernize it front-to-back, reusing components across segments. It avoids “rip-and-replace” doctrine, but also avoids the opposite trap: incremental tinkering that never transforms customer experience. Composability is important, but without a unifying engagement layer, composability devolves into integration theatre.

Backbase’s approach is instructive: an engagement platform that unifies journeys and provides standard control points for AI—decision-making, personalization, and agentic workflow—rather than spreading point bots across channels. The goal is a bank-owned platform where AI can be governed, audited, and updated quickly.

Leadership playbook: five choices that separate winners

  1. Own the engagement layer. Make it your main product. Your channels are simply interfaces; the journey logic and data live on the platform. This is how you deliver improvements weekly, not yearly. backbase.com

  2. Adopt journey-based modernization. Fund by outcome (e.g., “Reduce onboarding abandonment 30%”), not by system. Reuse components across retail, SME, and wealth. backbase.com

  3. Establish an intelligence fabric. Centralize retrieval, models, and agent orchestration so AI is permissioned, explainable, and reusable across journeys. McKinsey & Company

  4. Design for human-digital collaboration. Integrate automation with guided conversations—think co-browsing, secure chat, and AI assistants that escalate to humans seamlessly. FF News | Fintech Finance

  5. Govern for scale. Treat prompts, policies, and metrics as product artifacts. Measure conversion, time-to-resolution, fraud catch-rate, and NPS by journey, not channel. McKinsey & Company

What great looks like: signals of maturity in 2026

  • Unified customer journeys across sales and service, with shared components and release schedules.

  • AI agents in production handling specific tasks (pre-fill, triage, collections nudges) with human-in-the-loop controls.

  • Design-ops for journeys, not pages: versioned flows, experiment frameworks, and telemetry that foster continuous improvement.

  • Vendor ecosystem as a feature, not a dependency: targeted partnerships to close gaps without losing platform control.

FAQs

Q1: How does the platform approach benefit banks?
It treats the engagement layer as a product, standardizing journeys and creating governed touchpoints for AI. The result: faster change cycles, higher conversion, and lower cost-to-serve compared to channel-led projects. McKinsey & Company

Q2: What role does AI play in this approach?
AI is integrated into the platform’s “intelligence fabric”, powering personalization, decision-making, and agentic workflow that can be reused across journeys—rather than being scattered in each channel. backbase.com

Q3: Why is modernization urgent now?
Competitive advantage is shifting to banks that can deploy AI effectively. Platformization shortens time-to-value and reduces integration challenges, allowing established banks to match the speed of digital-native entities. BCG Global

Sources:

Next Steps

Ready to platformize your engagement layer and deliver AI-powered journeys in months, not years? Generation Digital can help you prioritize the first journeys, establish the intelligence fabric, and create the operating model that sustains it.

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Generation
Digital

Canadian Office
33 Queen St,
Toronto
M5H 2N2
Canada

Canadian Office
1 University Ave,
Toronto,
ON M5J 1T1,
Canada

NAMER Office
77 Sands St,
Brooklyn,
NY 11201,
USA

Head Office
Charlemont St, Saint Kevin's, Dublin,
D02 VN88,
Ireland

Middle East Office
6994 Alsharq 3890,
An Narjis,
Riyadh 13343,
Saudi Arabia

UK Fast Growth Index UBS Logo
Financial Times FT 1000 Logo
Febe Growth 100 Logo (Background Removed)


Business No: 256 9431 77
Terms and Conditions
Privacy Policy
© 2026