AI-assisted review for offices that run on documents.
Document review, workflow automation and private model deployment for filing offices, universities and health systems. Models read, rules decide, your staff sign off — inside your own boundary.
- EntityNorthbridge Arts Council
- Fiscal year2025
- Gross revenue$1,420,000
- Audited statementNot attached
- Name matches prior filing
- Fiscal year is current
- Fee bracket confirmed
- Audit required above threshold
Synthetic example. Every name and value shown is fictional.
Three things we build.
Shaped by how your office already works: paper and portals, rules and thresholds, and a person who answers for the result.
Document review
Filings, applications and contracts checked against your rules and prior records. Every finding cites its page.
Workflow automation
Intake, de-duplication, triage and routine letters. The system drafts; your staff approve.
Private model deployment
Open-weight models, retrieval and GPUs on your hardware or in your cloud tenancy. Nothing leaves your boundary.
Models read. Rules decide. People sign off.
The model fills in fields. Your published rules decide what passes. Your staff approve every notice before it goes out.
Ingest
Paper or portal, one queue. Duplicates caught first.
Extract
Each document becomes structured fields, with a page and line reference for every value.
Adjudicate
Your rules run against the fields and your prior records. Each result carries its evidence.
Review and send
Staff see the finding, the source page and a drafted notice from your templates. They decide.
Runs where your data already lives.
Your hardware, your cloud subscription, or a split between the two. The boundary is always yours.
Everything on servers you own. No internet connection required.
The same system inside a subscription you hold, for example Azure, under your identity, logging and retention settings.
Records stay on-premises. Inference runs in your cloud tenancy over an encrypted link with your keys, so compute scales without moving data.
Built for offices that answer to the public.
Four commitments in every engagement.
Your data stays in your boundary
No training on your data. No copies held by us.
Every finding cites its source
A page and line reference behind each result. Nothing unsupported reaches a reviewer.
A person approves every outbound action
Nothing is sent until your staff sign off.
Designed to institutional control frameworks
Designed to align with NIST AI RMF and NIST SP 800-53 control families. Documentation on request.
Talk to us.
A short note about your office and the workflow you want to look at is enough. A person replies.