AI governance, explained without the jargon

You wouldn't let a new employee move $50k on day one.
Why let your AI?

We give your AI a company rulebook it must check before it acts — so a bad decision gets stopped before it happens, not discovered after.

Your AI wants to

Release a $50,000 payment

CHECK

against your rules

Follows every ruleALLOWED ✓
Breaks a compliance ruleSTOPPED ✕

Every action your AI takes goes through this same check — automatically, every time, with a plain-English reason either way.

The problem isn't that your AI is wrong sometimes.

It's that nobody finds out until afterward — and by then the payment, the message, or the decision has already gone out.

"Our AI approved something it shouldn't have, and we didn't find out until later."

We check every action before it happens, not in a report afterward. If it breaks a rule, it never goes through.

"Nobody can tell me why the AI made that decision."

Every decision comes with a plain-English reason, automatically — for your team, your auditors, and your customers.

"Two of our own policies quietly contradict each other, and we don't find out until something breaks."

We check your rules against each other first, and flag contradictions before they ever reach production.

"Every time we change AI vendors, we rebuild our rules from zero."

Your rules live independently of any one AI platform. Switch vendors, keep your rules.

How it actually works

No code required to write or update a rule. No black box in the middle.

01

Write your rules once

In plain business language — the same way you'd explain a policy to a new employee. Your team owns this, not just engineering.

02

Every AI action gets checked

Before your AI does anything — approve, send, update, release — the action is checked against your rules automatically.

03

It proceeds, or it stops

If it passes, nothing slows down. If it doesn't, it's stopped on the spot — with a plain-English reason, logged for later.

Built for places where a wrong decision actually costs something

Financial servicesHealthcareGovernment & public sectorInsuranceLegal & compliance-heavy operations

Before vs. after — the difference that actually matters

Most AI governance today

Checks after the fact

A dashboard tells you something went wrong. Useful for the postmortem. Doesn't undo the payment, the message, or the decision that already went out.

What we build

Checks before it happens

The action is stopped at the gate. Nothing wrong ever reaches your customers, your records, or your books in the first place.

Catch it live — pick an industry example

Same idea as onboarding a new hire: the action is checked against your rules before it goes through.

Your AI wants to

Approve a $250,000 loan application

Checked against your rules before anything goes out.

If it follows the rules

ALLOWED ✓

Credit score, debt-to-income, and employment checks all pass. Loan proceeds.

If it breaks a rule

STOPPED ✕

Debt-to-income is over the bank limit. Approval stopped before funds are committed.

See it checked against your own rules.

Bring one real rule from your business. We'll show you, live, what it looks like to catch a violation before it happens — not after.

Book a 20-minute call