The risk is not what you cannot find. It is what was never written down.
MindKeepr is not a map of how a role works. It shows what your organisation still does not know about critical work, and who can verify it, then closes the gap through named human approval.
Illustrative view built from synthetic data, not a customer environment. Coverage states describe decisions and work. People are never scored, ranked, or profiled.
Six ways knowledge fails, and none of them are a missing document
A wiki can only be missing a page. Critical work fails in more specific ways, and each one needs a different person to fix it.
A named person approved it, bound to the exact version of the source it came from.
The source changed after approval, so the approval no longer holds.
The decision is made in practice, but the threshold behind it was never written down.
Two sources answer the same question differently, and nobody has reconciled them.
No role is bound to the decision, so there is nobody to ask.
Only one person has ever decided it. That is a dependency, not a fault.
How a gap gets closed
Finding the gap is the easy half. The part that holds up in an audit is who confirmed it, against which version, and when.
Work runs into a question nobody has answered, or a decision nobody owns. MindKeepr shows it instead of guessing.
The product names the best available person to confirm it, based on the role bound to the decision.
A contextual question goes out with the relevant evidence attached. A human approves, corrects, or rejects it.
The approved answer is source-traceable and version-bound, available to authorised people and approved AI agents.
New work produces better evidence, which exposes the next gap sooner. That loop is the point.
What this is not
Worth saying plainly, because every one of these has been promised by someone else and not delivered. MindKeepr is not:
- an automatic map of every business process
- another enterprise-search product
- a replacement for your systems of record
- an employee-monitoring, productivity-scoring, or ranking system
- a claim that AI can infer undocumented truth without human review
Human verification stays authoritative. That is the whole basis of the product being trustworthy, and it is the claim every vendor promising automatic truth extraction has had to walk back.
Start with one critical role.
Name a decision, a handover, or a departure already on your calendar, and we will map the coverage around it.