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POWERING GROWTH AND MEMBER EXPERIENCE THROUGH AI ENABLEMENT

Leading U.S. Credit Union

Financial ServicesStrategy & TransformationCustomer, Brand & ExperienceAI, Automation & Emerging Tech

The Situation

The third largest credit union in the US, dedicated exclusively to school employees has set an enterprise ambition to become an AI-enabled organization, with two strategic objectives: Amplify Team Member Productivity & Accuracy, and Boost Member Engagement & Participation. While leaders across the credit union had begun exploring AI opportunities, the organization lacked a unified strategy connecting AI enablement efforts to business objectives, a comprehensive, prioritized roadmap, and a clear operating model to scale AI responsibly. An AI Channel Group had recently been established, but it needed definition, structure, and credibility to guide enterprise-wide AI adoption.

Outcome

'We had a basic structure and some defined objectives for what we wanted to achieve as an AI-enabled credit union, and we now have a plan to make this real, and importantly, the buy-in and enthusiasm of our people and leaders.'

Approach

Why

The client recognized that AI could meaningfully enhance the member and employee experience—especially for an educator-centric institution with high-volume, cyclical demand patterns. However, without a clear strategy and rationalized approach, AI efforts risked becoming fragmented, duplicative, and unscalable.

How

a structured, three-part AI advisory engagement focused on connecting strategy, governance, and operational execution

What

  • A consolidated and prioritized AI use-case portfolio and roadmap, supported by executive and board-level education that aligned leadership around the most impactful opportunities
  • In parallel, a clearly defined AI Channel Group operating model, governance structure, and core processes, giving the client a repeatable framework to scale AI responsibly and confidently

3 Things That Worked

  • Clear alignment on enterprise AI goals from the start.
  • A unified prioritization of 75+ use cases across all functions.
  • A practical AI operating model that clarified roles and governance.

3 Things We'd Do Differently

  • Conduct a comprehensive review of existing processes that would be impacted by the new operating model.
  • Involve frontline teams sooner in validating use cases.
  • Emphasize change management and communications to foster buy-in and participation in the engagement.

Engagement Lead

Ian C. Lee

Ian C. Lee

Jerem.AI