Store Every Document and Transcript, Isolated Per Client

Every professional service engagement generates enormous amounts of documents: proposals, contracts, strategy decks, research files, call transcripts, meeting notes, email threads, analysis outputs, and deliverables. Most service businesses manage this through a combination of shared drives, email folders, and memory, all of which create fragmentation, search friction, and cross-client mixing risk.

Client Intelligence's document and transcript storage is integrated into each client's isolated Workspace. Every file you upload for a client lives in their Workspace, is AI-searchable, and contributes to the context Intelligence has when generating outputs. A transcript from six months ago is not just archived. It is active context that Intelligence can reference when you are working on current strategy.

The integration between document storage and AI context is the key differentiator. In a traditional shared drive, documents are stored but not active. To reference them, you have to find them, open them, read them, and manually synthesize the relevant parts. In Client Intelligence, uploaded documents become part of the Workspace's active context. Ask Intelligence "what did the client say about their budget constraints?" and it searches across all uploaded transcripts and notes to surface the answer.

Transcripts deserve special mention. Uploaded meeting recordings are auto-transcribed and indexed within the Workspace. The entire conversation becomes AI-searchable. You can find specific decisions, commitments made, concerns raised, or questions asked across all your recorded sessions with a single natural language query. This transforms transcripts from passive archives into active strategic memory.

Document isolation per Workspace also addresses the data mixing risk. A contract uploaded to Client A's Workspace cannot be searched, referenced, or surfaced in Client B's Workspace, ever.