Roman Bordo

Offer

Decision Memory

Turn meetings, calls, working sessions, and AI summaries into source-backed company memory.

For founder, operator, and team workflows where meetings, calls, and working sessions create useful material, but not reliable memory.

Send the decision workflow

When this is useful

Useful fragments disappear

Meetings and chats produce signal, but decisions, rationale, and unresolved questions do not become operating memory.

Summaries blur certainty

AI summaries mix confirmed decisions, open discussion, assumptions, and action items without enough separation.

Ownership stays vague

The team leaves with notes, but not clear decision owners, update paths, or source-of-truth changes.

The same topic returns

Old context has to be reconstructed because the decision record is not durable or easy to route back into work.

What gets designed

meeting-to-decision flow
decision record structure
rationale and risk capture
open-loop routing
source-of-truth update path
review and confirmation rules

Output

The point is not better meeting notes.

The point is to separate what was decided, why it matters, what remains open, who owns it, and where the source of truth changes.

  • decision memory workflow map
  • ADR-style decision structure
  • meeting / chat review rules
  • ownership and update path
  • source-reference and review-status rules

Related proof

Proofline shows the same pattern in a meeting-to-memory system.

  • transcript-to-decision before / after
  • decision record example
  • human / AI review loop
  • open-loop closure map
  • source update trace

Decision flow

Start with one recurring decision flow.

Send a transcript, note set, or chat thread where the useful signal did not become durable memory.