Your team keeps re-debating decisions that were already made. Nobody can find where or when.

The meeting ends. The decision is made. Everyone agrees. Three weeks later, the same discussion starts again because nobody can find where the decision was documented, or it was never documented at all. The decision happened in a meeting that wasn't recorded, or in a Slack thread that scrolled away, or in someone's memory. So the team relitigates it, sometimes reaching the same conclusion, sometimes reaching a different one, always wasting the time it took to have the discussion again.

Decision debt compounds. Every re-debated decision is a meeting that didn't need to happen. Every reversed decision because nobody remembered the original reasoning creates rework downstream. Over a quarter, the hours spent re-debating add up to weeks of lost productivity.

Decisions captured from where they happen

Decisions don't happen in a decision log. They happen in meetings, Slack threads, and ad-hoc conversations. Self-writing decision logs capture them from those sources: what was decided, when, why, and who was involved, assembled from the meetings and Slack where the decisions were actually made.

Nobody has to write a decision record. Nobody has to update a Notion database. The decision log writes itself from the conversation where the decision happened.

Reasoning preserved alongside outcomes

The decision itself is half the story. The reasoning is the other half. When someone six months later asks "why did we do it this way," the answer needs to include the context, the alternatives considered, the constraints, and the tradeoffs. Self-writing decision logs capture the discussion, not just the conclusion. The reasoning survives alongside the outcome.

Searchable across the full history

AI search finds any past decision by meaning. "What did we decide about the API versioning strategy" finds the decision, the reasoning, and the meeting where it was discussed. "Every decision about pricing in the last quarter" pulls the complete record. The AI assistant can trace the history of decisions on a topic across months or years.

When someone starts to re-debate a decision, the answer is one search away. The original reasoning, the context, and the conclusion are documented and citeable.

Who this is for

Engineering teams making architecture and technical decisions. Product teams deciding roadmap priorities and feature scope. Startups making fast decisions that need to stick. Investment teams documenting IC discussions. Law firms tracking matter decisions. Consultancies preserving strategic reasoning across engagements. Any team that's tired of having the same meeting twice.

Get started

Capture every decision with the reasoning behind it. Try Fabric free. See pricing for teams.

FAQs

Does the decision log write itself?

Yes. Self-writing decision logs capture decisions from meetings and Slack. No manual record-keeping.

Does it capture reasoning, not just outcomes?

Yes. The log includes the discussion context, alternatives considered, and reasoning from the conversation where the decision was made.

Can I search past decisions by topic?

Yes. AI search finds decisions by meaning across the full history. "What did we decide about API versioning" finds the decision, the reasoning, and the meeting where it was discussed.

What happens when someone tries to re-debate a decision?

The original decision, including the reasoning and context, is one search away. Share the cited source and the re-debate ends with the evidence.

Can I see every decision made about a specific topic over time?

Yes. The AI assistant can trace the history of decisions on any topic across months or years, showing how thinking evolved.

Does it work with decisions made in Slack, not just meetings?

Yes. Self-writing decision logs capture from both Slack and meetings. Decisions happen in both, and both are captured.

Can I see who was involved in a decision?

Yes. The log includes the participants and the context from the discussion, so you can see who decided what and who was in the room.

Is our data secure?

Yes. Fabric uses AES-256 encryption and is CASA Tier 2 compliant. Your data is never used to train AI models.