Control-first design for enterprise document workflows
The platform keeps retrieval, decisions, and workflow activity tied to approved documents, scoped access, and visible operational records.
Security questions enterprise buyers ask first
The product is designed for controlled internal rollout, where AI output must be explainable, source-grounded, access-aware, and reviewable before scale.
Security-related solution pages
Review how governance appears across workflows.
Four Control Layers on Every Output
Access, grounding, versioning, and audit travel with each answer, extraction, and approval.
Role-aware access
JWT and API-key based access models support tenant isolation and role-aware product usage.
Governed retrieval
Department and sensitivity controls filter what evidence is eligible for retrieval and answer generation.
Version-aware answers
Indexes and documents are versioned so responses stay tied to the intended knowledge snapshot.
Audit visibility
Ingestion, requests, reviewer actions, and task events remain traceable for operations and audit teams.
- Document metadata for tenant, department, sensitivity, operator, and retention
- Audit history for ingestion and task events
- Request IDs and operational logging
- Rate limiting and bounded prompt budgets
- Optional encryption support for stored index artifacts
- Usage analytics for query, latency, quality, and version adoption
- Evaluation workflows for testing document-grounded behavior
- Human review checkpoints inside approval and agent-task flows
- Upload session tracking for managed ingest and index build workflows
- Start with one controlled workflow and one approved document corpus
- Measure grounding, usage, and review quality before expansion
- Keep document versions and operational events visible to reviewers
- Access model and tenant boundaries
- Document ownership and update process
- Retention and audit expectations
- Evaluation process before wider release
Walk through the controls with your security team
Bring your access model, retention rules, and audit expectations. We will map each one to what the platform enforces today.