1. Capture the work already happening.
Bring in authorised meeting transcripts, documents and approved human-to-AI conversations. Macrosona preserves the original source before developing any interpretation from it.
2. Distil different kinds of memory.
Macrosona identifies evidence, reported knowledge and source-supported experience as distinct records. That separation helps an agent or reviewer understand whether it is seeing exact words, a claim or a developed lesson.
- Original evidence remains immutable and attributable.
- Knowledge captures decisions, facts, preferences and commitments.
- Experience captures lessons, observed outcomes and established methods.
- Material concepts form a connected, evolving map.
3. Connect, govern and activate.
Memories are connected to the people, organisations, clients and projects that give them meaning. Search and agent integrations retrieve within those boundaries and return lineage so the result can be inspected.
As new sources arrive, Macrosona can reinforce, refine or challenge existing memory. The organisation gains a durable intelligence asset that compounds with use.