Operational architecture for the AI era.
CU Logics helps credit unions adopt AI and automation thoughtfully, strengthen Microsoft 365 / SharePoint governance, and reduce operational friction—without hype or unnecessary complexity.
Safe adoption, real outcomes
Readiness, guardrails, vendor risk perspective, and practical use cases that help staff today.
SharePoint that stays usable
Information architecture, permissions, retention, search, and workflows built to last.
Less manual work
Streamlined processes, reporting automation, and lightweight tools that reduce errors.
How we work
From focused workshops to ongoing advisory relationships. Start small and build momentum.
Let’s talk
Tell me what you’re working on and where things feel stuck. I’ll suggest the cleanest next step.
Ideas credit unions can apply today
From Script Sprawl to Scalable Automation: How One Credit Union Scaled Report Delivery from Fiserv to SharePoint
How one credit union replaced script sprawl with a scalable framework for automated report delivery into SharePoint Online.
AI Enforcement and Accountability for Credit Union Staff
Clear accountability strengthens AI governance. Learn how credit unions can define reporting, escalation, and enforcement for AI policy violations.
AI Training Requirements for Credit Union Staff
Generative AI policies only work if employees understand them. Without training, staff may unknowingly upload sensitive information, misuse AI-generated content, or rely…
Oversight and Monitoring for AI Usage in Credit Unions
Credit unions do not need invasive monitoring programs to govern AI usage responsibly. But they do need to establish basic administrative oversight…
Managing Member Data in Generative AI Tools
Generative AI tools are powerful—but member data cannot be treated like ordinary information. Learn how credit unions can govern the use of…
Defining Prohibited Data Categories in AI Policies for Credit Unions
Generative AI tools can improve productivity across a credit union, but the primary risk is not the technology—it is the data employees…