Use cases
Where private AI fits.
BrooksFlow is built for teams whose work runs on documents, procedures, client files, and proprietary knowledge — where a casual paste into a public AI tool is a real problem. These are the workflows where a private system earns its keep.
Example workflows
Nine places private AI does real work.
Private document search
Ask questions across approved internal documents and get cited answers — without those documents leaving your control.
Contract and policy lookup
Clause-level search across agreements, engagement letters, handbooks, and policies, with the exact language cited.
Matter or case summarization
Current-state overviews assembled from case files and records, with citations back to the source documents.
Referral or intake routing
Structured summaries and routing from the documents people actually send — messy PDFs included — with human sign-off.
SOP and maintenance assistant
Instant, cited answers from standard operating procedures, equipment manuals, and maintenance records.
Compliance and training knowledge base
One controlled place to ask about training requirements, compliance procedures, and internal policy — with sources shown.
Internal drafting support
First drafts of routine documents and correspondence, grounded in your own materials, with human review built in.
Administrative exception review
Flag and summarize the cases that don't fit the standard process, so people spend their time on judgment, not triage.
Secure workflow automation
Automation over internal systems and file stores on customer-controlled infrastructure, with defined data boundaries.
The rule
Every engagement starts with a workflow, a data boundary, and a metric.
Not a platform. Not a transformation program. One workflow your team runs every week, a written boundary around the data it touches, and a number that tells you whether it worked.