The ADKAR model. Applied to your credit union.
We use the Prosci ADKAR model — the most-cited individual-change framework in the change-management industry — to guide every CUcomputer engagement. Five stages, mapped to credit-union AI adoption.
ADKAR® is a registered trademark of Prosci, Inc. We use the model with attribution; the credit-union-specific application below is ours.
Five stages. In sequence.
ADKAR is sequential. Skip a stage and the change doesn't stick. We measure each one for every credit-union team we train.
Awareness — of the need for AI in your credit union
Before any training begins, every team — branch, operations, marketing, executive — needs a shared understanding of *why* the AI exists. We run kickoff sessions tailored to each audience, framed in their language: ROI for executives, member experience for branch staff, throughput for operations.
Every team knows the why before the how.
Desire — to engage with the AI Agents
Resistance kills adoption. We surface the fears (job loss, replacement, unfamiliar technology) early and address them directly. Each team sees how the AI removes the work they hate — manual data entry, repetitive transcription, late-night escalations — so they want it, not just tolerate it.
Your team chooses to use the AI.
Knowledge — of how to operate it
Role-specific training, not a generic walkthrough. Tellers learn how AI Transcription surfaces member context. Marketing learns the brand-voice approval flow. Operations learns the AI Signals dashboard. Executive learns the ROI view. Every team gets what they need — nothing more.
Each role knows their workflow cold.
Ability — to use it on real work
Hands-on, shoulder-to-shoulder with a CUcomputer engineer. Real member calls, real campaigns, real data — under live supervision. We don't leave until every team has demonstrated the skill in production, not in a sandbox.
Your team operates the AI on real workflows.
Reinforcement — to make it stick after we leave
Adoption fades without reinforcement. We schedule monthly check-ins at no cost for the first year. ROI dashboards stay live. New team members get the same training. M&A AI Agents continue to handle unstructured data as your CU grows or merges.
AI use becomes the default, not the exception.