The language of decision intelligence

Meeting intelligence is software that records and transcribes meetings, then uses AI to extract summaries, decisions, and action items, connect meetings into a searchable memory, and act on what was decided.

A decision intelligence platform captures the decisions made across an organisation's meetings and tools, tracks whether they were executed, and helps teams act on them — turning conversations into execution.

Organizational memory is a company's retained, searchable record of what was discussed, decided, and done across all its meetings and tools — so knowledge doesn't live only in people's heads.

A meeting knowledge graph is a visual map that links the people, decisions, topics, and action items across all your meetings, showing how they connect rather than keeping each meeting isolated.

An action item is a specific task that comes out of a meeting, assigned to an owner — the concrete work a discussion is supposed to produce.

Decision lineage is the traceable chain that connects a decision to its origin and its results: customer request → meeting → decision → ticket → pull request → deployment → outcome.

An execution gap is the difference between what a team decided and what actually happened — for example, a decision that never became a ticket, or shipped work that drifted from the plan.

Semantic search finds information by meaning rather than exact keywords, so a question like "what did we decide about pricing?" returns the right passages even if those exact words were never used.

Meeting memory is the persistent, searchable record of everything across your meetings — transcripts, summaries, decisions, and action items — that you can recall and question at any time.