Follow-through memory

Commitment tracking AI for every promise hidden in work.

Oryne detects and links commitments across conversations so you can see what was promised, who owns it, where it came from, and whether it is still open.

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Primary search intent

commitment tracking AI

Founders, executives, managers, sales leaders, and operators who live across inboxes, chat, meetings, and documents.

Tracks promises across connected communication sources
Links action items to people, projects, and source messages
Keeps unresolved follow-ups visible in the memory graph

What teams get

Searchable memory that turns context into action.

Stop losing promises in email threads

Prepare with open commitments before calls

Draft follow-ups with exact context

Promises are context

The sentence that matters is often small: a date, a promise, a blocker, or an owner. Oryne treats those commitments as first-class memory.

  • Detects follow-up language
  • Connects commitments to source conversations
  • Maintains status across related context

Built across channels

Commitments can start in a meeting, move to Slack, and close in email. Oryne is designed to connect the chain instead of treating each app as a separate world.

  • Email and chat promises
  • Meeting action items
  • Document-linked follow-ups

Useful before the next conversation

The best reminder appears before it costs you. Oryne helps surface unresolved commitments when related people, projects, or meetings come back into view.

  • Pre-meeting context
  • Open-loop recall
  • Draftable next steps

Questions

Common evaluation questions.

What is commitment tracking AI?

Commitment tracking AI detects promises, deadlines, owners, and follow-ups across work conversations so unresolved obligations stay visible.

Can Oryne track action items from meetings?

Yes. Oryne is designed to connect meeting context with the people, documents, and follow-ups that surround it.

How does a memory graph help follow-ups?

The graph links a promise to its source, owner, related project, and later messages, which makes follow-up context easier to recover.