Services
Enterprise assistants & private AI
Build permission-aware enterprise AI assistants using approved company knowledge, source references and clear escalation.
Enterprise knowledge
Help people find and use approved knowledge while preserving document permissions and source context.

The connected workflow
Help people find and use approved knowledge while preserving document permissions and source context. We start with the actual operating process and connect the records, validation and people required to move the work forward. AI is used where it helps interpret information; business rules remain explicit.
CIO: employees cannot find the current answer safely.
Index approved sources with source links and effective dates; enforce access outside the model; escalate conflicting documents.
Pilot measures: Grounded-answer rate, stale-source use, retrieval relevance and access leakage.
Sales/RFP teams: proposals reuse outdated or confidential claims.
Retrieve approved credentials and answers, identify unanswered requirements, draft cited responses; owners approve commitments.
Pilot measures: Turnaround, unsupported claims and confidential-data exposure.
CIO: confidential knowledge cannot enter an uncontrolled AI service.
Choose hosting/model boundaries, approved datasets, access isolation and retention; security and business owners approve data use.
Pilot measures: Access isolation, answer quality, operating cost and control coverage.
Choose a business unit and a representative set of records. Measure today’s cycle time, errors and manual review. Validate unusual inputs, failed integrations and permission boundaries before expanding. Targets are agreed from that baseline rather than assumed from a generic savings percentage.
Help people find and use approved knowledge while preserving document permissions and source context.
The workflow defines which steps can run automatically and which need an authorised person. Financial approvals, clinical judgments and other consequential decisions remain under appropriate professional control.
Agree a baseline for the selected workflow, then compare quality, completion time, exceptions and operating cost during the pilot. Wider rollout follows demonstrated acceptance.