AI is already reshaping credit unions. The question is whether your institution shapes its AI future deliberately — or has it shaped by competitors, vendors, and regulators.
We don't start with a template — we start with you. A working session with the CEO, then confidential interviews with the leaders you pick. We're not asking what the official story is. We're finding out what's actually happening with AI right now: who's using it, who's governing it, what culture supports or blocks it — whether that's written down anywhere or not.
A working session with the CEO: current priorities, board posture, and what success looks like.
Confidential conversations with leaders you select — wherever AI stands today.
Documentation and interviews synthesized into a preliminary draft. Where they agree, that's a fact. Where they don't is usually the most important finding in the report.
Findings go back to you and your team before anything is final — you validate it and challenge it. By the time it reaches the boardroom, your own people have already argued with it.
The executive readout with your team, plus the comprehensive report and your Executive Action Agenda.
One working session with the CEO up front, and the debrief at the end.
Interviews with the leaders you choose — we handle the rest.
The assessment is only as good as the conversation. We keep it confidential.
Not a study for the shelf — working assets your team runs with the day we leave. Your AI Strategy Statement, executive alignment, governance you can defend, a prioritized portfolio, an outside-in radar, and the Executive Action Agenda you lead from.
The strategic summary of the assessment — key findings, supporting evidence, and the recommended direction for executive decisions. Deliberately built so the CEO can lift it into a board meeting without translation.
The comprehensive record of the engagement: methodology, who we engaged, current-state analysis, evidence, findings, recommendations, and a prioritized roadmap. It gives the rationale behind each recommendation, not just the conclusion.
Three templates that fast-track alignment to the Seiche AI Strategy Framework, then let you maintain, measure, and manage progress against your own strategy after we leave.
Twenty-four elements across six domains — the same frame for every credit union we work with, which is what makes the scoring mean something. An AI strategy sets direction; it is not a procedure manual. The framework fixes your position on each element: what you believe, who owns it, and where the guardrail sits. Governance procedures, validation protocols, and vendor checklists are written downstream, against that direction.
No position exists. AI may already be in the building through vendor products, and no one owns it.
Activity exists, driven by individuals or by vendors. No shared rule, so the outcome depends on who is in the room.
A position is written down and approved. Application is uneven and evidence is thin.
The position is applied consistently, owned by name, and can be evidenced to a board or an examiner.
The practice improves itself. Results from one decision feed the next, and the capability becomes a competitive asset.
Not everything needs to reach five. Strategy is choosing where you'll be excellent and where defined is honestly enough.
AI in banking is not a technology decision. It's a strategic decision.
The institutions that win won't be the ones that adopt AI first — they'll be the ones that adopt it wisely.