Give your AI governance work a home.
One workspace to register every AI system, plan the risks and controls, get the right people to sign off, and keep a record you can hand over.
Governance work has no shape until you give it one.
No one place to look
AI systems live in spreadsheets, tickets, and inboxes. Nobody can answer who owns a system, what data it touches, or where it is in the process.
Every tool treated the same
Without a structured review, a low-risk chatbot and a high-risk decisioning system get the same attention - or none. You only notice the difference when something goes wrong.
Policies that never reach the work
You know a regulation applies somewhere. But nothing turns a policy clause into an obligation someone owns, tracks, and closes with a real control.
Nothing to hand over
When a customer or auditor asks how a system was governed, all you have is screenshots and a best-effort story. There is no clean record of who did what, when, and why.
Register, plan, review, sign off. In one workspace.
Give every AI system a home.
- One record for each system: owner, category, hosting, data sensitivity
- Structured context, then a draft plan of risks, gaps, controls, and exceptions
- AI helps draft; your team reviews and confirms
Not a spreadsheet. Not a slide deck. Not a big-bang GRC project.
Not a spreadsheet
Spreadsheets do not stop the same person from submitting and approving their own work, do not link evidence, and do not keep a clean history you can hand over.
Not a consulting report
A consulting engagement gives you a point-in-time deck. Vigil24 keeps the register, plan, controls, and recorded activity current as the work happens.
Not an enterprise GRC suite
Enterprise GRC platforms assume you have a dedicated team and a long implementation. Vigil24 is sized for the teams who do not.
The governance lifecycle in five steps.
Register the system
Add the AI system with its owner, category, hosting, and whether it makes decisions about people.
Complete the context
Answer a structured set of questions about the system so the plan starts from real facts, not guesses.
Plan risks and controls
Draft the risks, gaps, controls, and exceptions, then send the package to a reviewer for approval.
Verify the controls
Put approved controls in place, attach the evidence they need, and clear any blockers before sign-off.
Sign off and monitor
Get final approval, move the system into monitoring, and re-open the plan only when things change.
Find AI tools nobody registered
Optional discovery capabilities surface AI tools that were never registered. Which sources are available depends on your deployment. Anything found lands in the same review queue as systems you added manually.
Explore the workflow.
Interactive preview. Actual availability of specific views and integrations depends on the product deployment and enabled features.
Shadow AI Scan
Risk Assessment
AI System Card
A regulation library your team can lean on.
Every regulation comes with a plain-language summary, mapped obligations, and links to control templates. RAIF advisors review the library on a schedule and update it the same week a change lands.
The questions we hear most.
Where does our data live?
In your own tenant. Only platform content - regulation text, templates - is shared across customers. Your systems, policies, and evidence never leave your side.
Does Vigil24 decide anything for us?
No. We organise the work and help draft it. Your people still review risks, approve decisions, and accept evidence. Vigil24 does not guarantee compliance or audit acceptance.