Local AI for financial services. Sensitive data stays in-house.
Private AI that reviews documents, policies and correspondence on infrastructure you control. It runs on your servers or on hardware we supply, with a full record of every action.
Review work grows faster than teams.
Policies, client files and correspondence need careful reading and a clear record. Client and commercial data cannot go to public AI services.
Volume of documents
Files, policies and correspondence all need reading before decisions are made.
Evidence of process
Firms need a clear record of who reviewed what, and when.
Client data
Client and commercial information must stay within the firm’s control.
AI that prepares. Your people decide.
Agilus reads your documents and prepares summaries and drafts for a member of staff to review. It does not make financial decisions or give advice.
Document review
Summaries of policies, files and correspondence with references to the source.
Policy questions
Ask questions of internal policies and procedures in plain language.
Drafting
Prepare draft responses and reports for review.
Your data stays where it is. So does the decision.
On your premises
Runs on your servers or on hardware we supply, inside your building.
Works offline
No dependency on public AI services. Suitable for air-gapped networks.
Human approval
It drafts and advises. Nothing is acted on without a person approving it.
Full audit trail
Every suggestion and every approved action is logged.
Discovery
Initial discovery phase, scoped to one team and one use case.
Data
Connect securely to the systems and records that matter, alongside your IT team.
Pilot
One team, on your hardware or ours, working on real cases.
Scale
Extend to further teams and sites once the pilot has proven itself.
Start a conversation.
Tell us what you would like AI to help with and what cannot leave your building. We will tell you plainly whether a local system is the right fit.