AI Risk Review Agent
First-line review of every AI proposal, against your own policy.
An AI Risk Review Agent takes a proposed AI use case and reviews it against your organisation's own ethics, security, privacy and legal policies — producing a first-line assessment that names the specific policy each concern relates to. The governance committee reviews a considered submission rather than a blank form.

The job to be done
“Every team wants to build something with AI. Our governance process cannot look at them fast enough, so people either wait months or route around it.”
Before
A governance bottleneck that either blocks the business or gets bypassed.
After
A first-line review completed on submission, so the committee spends its time on the genuinely hard cases.
How it works
- 1
Reads the proposal
Takes the proposed use case as the team described it.
- 2
Checks it against policy
Reviews against the organisation's own AI ethics, security, privacy and legal standards.
- 3
Names the concern
Cites the specific policy, rather than returning a generic risk rating.
- 4
Escalates what matters
Routes the genuinely contentious case to the committee with the analysis already done.
Where this one was built
Built for one of Australia's largest media organisations, reviewing proposed AI use cases against their own governance policies.
Questions
What does an AI Risk Review Agent do?
It reviews a proposed AI use case against your organisation's own ethics, security, privacy and legal policies, producing a first-line assessment that cites the specific policy behind each concern — so the governance committee reviews a considered submission rather than a blank form.
Is it not strange to use AI to govern AI?
It would be, if it made the decision. It does not — it does the first-line review so that humans spend their time on the genuinely contentious cases. The governance committee still signs off; the agent just makes sure they are reviewing a considered submission rather than a blank form.
Want this one running in your business?
We will scope it against your systems, build it, and teach your team to build the next one themselves.