Secure enterprise copilots grounded in your knowledge.
Search + answers with permissions, citations, and eval gates—so the system is useful and safe.
Overview
We build production-grade RAG copilots that answer questions from your internal knowledge bases—with security controls, citation tracking, and quality evaluation from day one. Responses are grounded in your data, auditable, and tested against regression suites before deployment.
Who this is for
Ideal buyer / team
IT leadership, knowledge management, or operations teams
Best-fit workflow
Internal knowledge retrieval across wikis, drives, tickets, and documentation
Typical environment
Enterprises with fragmented knowledge bases and compliance or auditability requirements
Strong fit when…
When staff spend significant time searching for answers across multiple systems, and you need permissions-aware, citation-backed responses
When to use this
- Docs are fragmented across wikis, drives, and tickets
- Need permissions-aware answers + auditability
What you get
Reference architecture
Permissions-aware RAG reference architecture
- Identity-aware connector layer (SharePoint, Confluence, Jira, Google Drive)
- Document chunking + metadata enrichment pipeline
- Vector store with per-document ACL enforcement
- Retrieval + reranking with citation extraction
- LLM orchestration with guardrails + output filters
- Eval harness (golden set, regression gates, drift detection)
- Observability layer (latency, quality scores, token spend)
Typical timeline
Discovery — data audit, integration mapping, security requirements, eval criteria definition.
Build — connector setup, retrieval tuning, citation tracking, copilot API/UI.
Eval & security — golden-set testing, regression gates, access control hardening, monitoring.
Pilot rollout — controlled deployment, team onboarding, admin runbook handoff.
Success metrics
- Answer acceptance rate (target ≥80%)
- Deflection rate — queries resolved without escalation
- Time-to-answer reduction vs. manual search
- Unsupported answer rate (target <5%)
Security & governance included
- Document-level access control enforcement
- PII detection and masking in responses
- Encrypted vector store with at-rest and in-transit protections
- Audit log of every query and response
- Configurable content filters and output guardrails
Integration-first
We connect to your stack
Frequently asked questions
Want to talk through your use case?
Book a 30-minute discovery call. We'll scope the workflow, map integrations, and outline security controls—no commitment required.