MBIC Assistant searches your files and returns answers with clickable citations — behind your single sign-on, with a full audit trail. Built for teams that can’t send their data to a public chatbot.
Most teams sit between leaking their data and burying it. Neither is acceptable when you handle records that are regulated, privileged, or controlled.
Fast, but your contracts, patient records, and case files leave your control and may train someone else’s model. A non-starter under HIPAA, CMMC, or any serious data policy.
Safe, but your team loses hours hunting through SharePoint, shared drives, and PDFs for answers that already exist somewhere in your files.
Search everything you’ve written in plain language and get sourced answers — while the data stays inside your security perimeter the entire time.
People ask the way they’d ask a colleague. No query syntax, no keyword guessing, no training required.
Every claim links to the exact document and section it came from, so anyone can verify the answer in one click.
It answers from your content, not the open internet. If the answer isn’t in your documents, it says so instead of guessing.
Only your people get in, through your existing Microsoft 365 / Entra identity. Access is gated before a single query runs.
The system was designed for organizations that have to answer to auditors, regulators, and contracting officers. Every layer reflects that.
A network-level access gate and an application sign-on both clear before any request reaches your data. No open endpoints.
Authentication runs through Microsoft Entra / M365. Only verified accounts in your tenant can reach the assistant.
Documents live in storage you control and are never used to train public models. Nothing leaves your boundary by default.
Run a fully isolated single-tenant deployment, or hard-partition multiple organizations with per-tenant separation.
Every query, document access, and answer is logged — a defensible record for security review and compliance.
Cloud, on-premises, or hybrid. Keep controlled and regulated data exactly where your policy requires it to live.
A cascading retrieval pipeline finds the right passages before the model ever writes a word — which is why the answers stay accurate and traceable.
We load your documents and parse, chunk, and index every one so its contents become searchable.
Each question runs meaning-based and keyword search across your content in parallel, then re-ranks the results.
A leading language model composes a response grounded only in the passages retrieved from your files.
Every claim is linked back to its source document and section, so the answer can be checked instantly.
Isolated single-tenant for one organization, or multi-tenant with strict separation when you serve several.
Deploy in the cloud, in your own data center, or a hybrid split that keeps sensitive data on-premises.
Plug into the single sign-on and directory you already run, so access follows your existing policies.
The pattern is the same everywhere: high-stakes knowledge trapped in documents, and a hard rule against letting it leave.
Surface clinical and operational guidance from policies, SOPs, and documentation — HIPAA-aware, with every access logged for review.
Find precedent across contracts, filings, and prior matters without exposing privileged material to an outside service.
Make controlled information findable for cleared staff while it stays within your perimeter — architected for CMMC- and FedRAMP-conscious environments.
Query compliance manuals, policies, and filings and get cited answers backed by a complete, reviewable audit trail.
We architect the deployment around your data, your identity provider, and your compliance posture — then run it with you.
Zero-trust access, SSO, tenant isolation, and audit logging aren’t add-ons here. They’re how the system was built.
We work alongside the agencies, contractors, and regulated firms whose data simply can’t go to a public model.
Bring a handful of your own documents to a working demo, and watch the assistant answer — with citations — from your content.