1. Scope
Select a process, its owners, the relevant data and the decisions that must stay human.
GriotAI separates retrieval, reasoning and action so that each layer can be tested and governed.
A user asks a question, the system retrieves authorised passages, and the model builds an answer from that context. Sources are displayed for verification. When an external action is proposed, the user's rights and the process approval rules apply before execution.
Select a process, its owners, the relevant data and the decisions that must stay human.
Clean, date and classify documents, then identify authoritative and obsolete versions.
Create searchable passages while preserving origin, dates and access metadata.
Find relevant passages after applying the user's permissions.
Generate a response with citations, uncertainty and refusal rules.
Require confirmation and logging before consequential operations.
Retrieval reduces unsupported answers but cannot eliminate model errors. A cited passage can be incomplete, outdated or misinterpreted. The original record remains authoritative for important decisions.
Deployment time depends on data quality, hardware, permissions, integrations and the number of processes. A pilot result must not be generalised without further measurement.
No. Sensitive content should be filtered during retrieval, not merely hidden after the model has processed it.
Documents, indexes, connectors and models need versioning, tests, monitoring and a documented rollback path.
Choose one use case, a controlled document set and a result that your team can verify.
Request a demo