Accountable AI for supervisors

AI you can audit.

Real-time supervision needs AI. Supervisors need to be able to show their working. Line4 is built so you can do both.

01

Rules decide. AI reads.

Whether a return passes or fails is always a rule, so the same filing gets the same answer every time. AI does the reading, the drafting and the explaining.

02

Every answer shows its sources

Each figure links to the cell the firm sent, and each statement to the document it came from in your own records. Anything that cannot be traced is removed.

An AI answer about a bank that cites a supervisory letter and a meeting note
03

Tested on your cases before it runs

Every AI rule has a set of real cases with the answer your team expects. It runs on returns only once it has passed them. Change its instructions or the model behind it, and it stops until it passes again.

An AI rule shown as live, having passed all of its test cases
04

It only sees what you can see

When the AI reads your connected records, it does so as the person asking. Each source applies that person’s own permissions, so nothing leaks across teams.

05

Everything on the record

Every decision, every AI result and every source the AI read is written to a tamper-evident trail, so you can always show what happened and why.

06

In your own cloud

Line4 runs in your own AWS or Azure tenancy, with AI from a provider you choose, inside it.

Questions

Can the AI pass or fail a return?
No. Pass or fail is always a rule your team owns. AI reads, drafts and explains, and people decide.
What happens when an AI model changes?
The AI rules that use it stop running until they pass their test cases again on the new model. It happens automatically, and it is recorded.
Can it use our SharePoint or case files?
Yes, through connections your team controls. It reads them as the signed-in person, cites what it used, and logs every read.
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