General Counsel · Risk · Compliance
When a regulator asks what the AI did, hand them proof — not a log file you hope is complete. Every action and every permission decision lands on a tamper-evident record an auditor can verify independently. Change one entry and the chain breaks.
A tamper-evident record an auditor can verify independently.
What gives this seat pause.
For the people who answer to regulators, the hard part of AI isn’t capability — it’s defensibility. When someone asks what the AI did and whether it was allowed, the answer has to be evidence, not assurance. And it has to hold up while you avoid the opposite trap: over-claiming what your AI does and inviting an enforcement action of your own.
A tamper-evident record an auditor can verify independently.
The A4 Platform makes the proof a by-product of the work. Every action and every permission decision is written as it happens to a tamper-evident, SHA-256 hash-chained record an auditor can verify independently — and the governance that classifies and screens your AI is in place before anyone asks.
What we can show you, not just say.
Concrete capabilities you can put in front of your own work — each one shipped and governed the same way, not a promise for later.
What this looks like for Risk & Compliance, screen by screen.
Not mockups — the actual product surfaces, every record and AI action on one governed system. Click any frame to see it full size.
Risk and controls on one dashboard
AI does the routine under the limits you set and stops for a person before anything consequential — and your governance, risk, and control posture sits on one dashboard, so the question “are we in control of this” has a screen to point at instead of a spreadsheet to assemble.
Frameworks, controls, assessments, and the agents working underneath them share one record — so the picture you show a board or a regulator is the live state of the system, not a snapshot someone reconciled by hand.
Handling rules follow the data
Before the routine runs, data is classified by sensitivity so the right handling rules travel with each record — and an agent acting on it inherits those limits exactly, never widening what the person behind it is allowed to touch.
Classification isn’t a label you hope people respect; it gates what may be retrieved, shown, or acted on, the same way for your people and the AI working alongside them.
A record you can hand a reviewer
When a reviewer asks you to prove what happened, the answer is a tamper-evident, SHA-256 hash-chained audit trail — every action and every permission decision sealed as it happens, with each consequential step carrying the named approval that released it.
Alter a single entry and the chain breaks, detectably, and an auditor can verify it independently at the source — so the trail is evidence that proves itself rather than an export you ask them to trust.
Every surface under the same control
The routine runs under your limits, anything consequential waits for a person, and every action lands on the hash-chained record — and that holds on every app surface and handler, because access is resolved against permissions before the action happens, not bolted on after.
There’s no ungoverned corner for risk to hide in: the same deny-by-default model and the same record cover every surface your people and agents reach, so what you sign off on is what actually runs.
Start where it’s most useful.
Pick the entry point that matches the problem in front of you — each one goes deeper on how A4 governs this work.
The same three pillars hold under every seat’s work.
Whatever the work for Risk & Compliance, it runs on the same governance as everything else on the platform — permissible access by construction, tamper-evident proof, and human-in-the-loop agent governance. Here’s what each one means for this seat.
How is this more than a log file I hope is complete?
Because the record is tamper-evident: every action and permission decision is hash-chained, so altering a single entry breaks the chain detectably, and an auditor can verify it independently at the source rather than trusting an export. Permission decisions are recorded per person, consequential actions carry the named approval that released them, and the governance that classified the system was in place before the question was asked. It’s evidence that proves itself — not a file you assert is complete.
See it on your work.
Bring the question a regulator or your own board is most likely to ask — what did the AI do, who allowed it, and can you prove it — and we’ll show you A4 answering it from the record: the hash-chain an auditor can verify, the named approval on the consequential step, and the classification that was in place before anyone asked.