Company context for AI agents
Let existing assistants find approved company information before they answer, while preserving source permissions, citations, and a reviewable history.
The short answer
Pantasso gives AI agents a shared source of approved company context with citations and explicit gaps. Each agent receives a scoped profile that defines what it may read, draft, or escalate. The profile does not create new source access; it applies clear boundaries to information the workspace owner has already approved.
Before answering a company-specific question, an assistant queries Pantasso with its assigned profile. Pantasso returns cited context within that scope or explains that the context is insufficient. The assistant can then answer from evidence, ask for clarification, or escalate instead of silently relying on stale prompt text.
Read approved product notes and customer research, but do not change records.
Review project context, prepare a draft update, and require approval before a write.
Summarize decisions from selected sources without exposing restricted team material.
No. Agents can keep running in the tools and frameworks where they already work. Pantasso supplies governed company context and controlled data or tool access through documented interfaces. Teams choose their model and agent runtime while Pantasso remains the authoritative source for workspace context and activity evidence.
Profiles separate reading, drafting, escalation, and permitted actions. The workspace records the actor, source state, and applicable boundary for review. The exact write and approval workflow depends on the connected system and the capability confirmed during onboarding; a context profile alone never grants write access.
Current boundaries
Pantasso is sold with founder-led onboarding. We scope the first source, question, access boundary, and proof of value together instead of promising instant coverage.
Pantasso improves grounding and accountability; it does not guarantee that every model output is correct.
Read and write permissions must be deliberately configured for each agent and connected system.
High-impact actions should retain human approval until the team has validated the workflow and its evidence.
Explore a cited answer and an honest gap in the demo, then plan one useful source with Pantasso.
