Turn your documents into AI-powered answers your team can trust
Every answer cites its source. Every query is auditable. Works across PDFs, SharePoint, databases, and internal systems. Built for enterprises that need accuracy — not guessing.
Your knowledge is trapped. Your people are searching, not working.
Critical knowledge buried across thousands of sources
Policies, SOPs, regulatory documents scattered across SharePoint, file shares, email archives, databases. Employees spend hours searching instead of working.
Generic search returns noise, not answers
Keyword search doesn't understand context, intent, or regulatory nuance. Compliance teams get 200 results when they need one definitive answer with a source citation.
Ungoverned AI creates compliance risk
Off-the-shelf tools like ChatGPT can hallucinate answers. In regulated industries, a wrong answer isn't just unhelpful. It's a compliance violation.
No audit trail means no accountability
When decisions rely on AI-generated information, compliance teams need to trace which source documents supported that answer. Most AI tools can't do this.
How it works
Ingest & Index
Connect to SharePoint, file shares, databases, email archives. Every document chunked, embedded, indexed with metadata, source, date, classification, and access permissions.
Query & Retrieve
Natural language questions. Semantic understanding, not keyword matching. RBAC ensures users only see authorized documents.
Answer & Cite
Every response includes answer, source citations with links, confidence scores, and complete audit trail. Every query logged for governance.
Key capabilities.
Multi-Source Ingestion
SharePoint, OneDrive, file shares, databases, email, third-party DMS. PDFs, Word, Excel, scanned documents.
Semantic Search
Natural language queries with contextual understanding. "Patient data handling requirements" = "HIPAA PHI protocols."
Full Citation Transparency
Direct links to source documents, page numbers, passage highlights. No black box.
Role-Based Access Control
Document-level permissions via Azure AD/Okta. Users only see what they're authorized to see.
Audit Logging
Every query, response, citation logged with timestamps and user identity. Exportable reports.
Multi-Language Support
Search and respond across documents in multiple languages for global organizations.
Reduction in compliance research time across 50,000+ regulatory documents.
“The citation transparency gave us confidence in every decision. This is the difference between a pilot and a real solution.”
VP Regulatory Affairs
Read engagement note →Production AI in ninety days.
Assess
Map workflows, data sources, compliance. Identify highest-impact use case. Define success metrics.
Build
Architecture, development, integration. Security hardening and access controls from day one.
Pilot
Deploy with pilot group. Measure against success metrics. Refine based on real usage data.
Harden
Production hardening, load testing, monitoring, documentation. Handoff with training and support plan.
Initial deployment within a sprint engagement. Assessment fee ($9,500) credited toward implementation.
Start with an assessment →Questions buyers ask.
What is Enterprise RAG and how does it differ from regular AI search?
Enterprise RAG (Retrieval Augmented Generation) combines AI language models with your organization's actual documents to deliver accurate, sourced answers. Unlike generic AI that may hallucinate, RAG grounds every response in your real data — with citations, source links, and audit trails.
Which document types and sources can the RAG system connect to?
We support SharePoint, OneDrive, file shares, databases, email archives, and third-party document management systems. The system ingests PDFs, Word documents, Excel files, scanned documents via OCR, and structured data from APIs.
How do you prevent AI hallucinations in regulated industries?
Every answer includes source citations with document links and confidence scores. Role-based access control ensures users only see authorized content. A complete audit trail logs every query and response for compliance review.
How long does an Enterprise RAG deployment take?
A typical deployment follows our sprint method: 2-week assessment, 6-8 week build and pilot, then production hardening. Complexity depends on document volume, source count, and integration requirements.
Can Enterprise RAG integrate with our existing compliance and GRC tools?
Yes. We integrate with ServiceNow, Archer, MetricStream, and other GRC platforms. The RAG system also connects to Azure AD and Okta for identity-based access control, ensuring document-level security.
Ready to ship AI that actually works?
Send a brief. We'll return a scope in 48 hours. Two sprints before you pay.
Start your two sprints →