Evidence tracker waitlist
Turn AI governance gaps into evidence your team can manage.
The AegisAI Evidence Tracker is being built for banks, credit unions, fintechs, and regulated technology teams that need a practical way to track AI policies, controls, owners, deadlines, audit evidence, and board-reporting readiness.
Evidence Inventory
Track policies, inventories, approvals, vendor reviews, model records, monitoring artifacts, and board materials in one operating view.
Owner and Due Date Control
Assign every gap to a business owner, control owner, reviewer, due date, and refresh cadence.
Audit-Ready Status
Separate complete, partial, missing, stale, and not-applicable evidence before audit, exam, or board review.
Board Reporting View
Summarize open gaps, high-risk AI uses, overdue evidence, and completed remediation for committee updates.
From score to workplan
Designed as the next step after the readiness calculator.
The calculator identifies gaps. The Evidence Tracker is planned to turn those gaps into an operating workplan with owners, evidence requirements, due dates, status, and reporting context.
Start the free assessment- 1
Import or enter AI governance gaps from the readiness calculator.
- 2
Map each gap to policy, vendor risk, model risk, data, board, or evidence domains.
- 3
Assign owners, due dates, current status, and supporting artifact links.
- 4
Review high-risk gaps before audit, exam, annual review, or board reporting.
Planned tracker views
Built around evidence, not loose notes.
A useful evidence tracker should help teams answer the practical questions audit, examiners, management, and the board are likely to ask: what exists, what is missing, who owns it, and what is overdue.
AI use-case and vendor inventory
Control evidence matrix
Owner, due-date, and status tracker
Board and audit summary
Quarterly refresh checklist
Open remediation roadmap
Join the launch list
Get notified when the tracker is ready.
Early subscribers will receive launch updates, preview access, and practical evidence-tracking resources for AI governance teams.