Build a workforce AI inventory
Build a catalogue of 10,000+ known AI services and observe workforce use on agreed managed endpoint paths. Review deployment coverage before relying on the inventory.
Enterprise AI Governance
AI adoption is outpacing governance. Aona helps teams establish a workforce AI baseline, apply controls on supported managed paths, and guide employees through organisational policy.
Policy evidence is ready for review
Synthetic example. Validate the client and policy path in scope.
Aona supports workforce AI inventory, policy controls on supported paths, and evidence for governance review.
Build a catalogue of 10,000+ known AI services and observe workforce use on agreed managed endpoint paths. Review deployment coverage before relying on the inventory.
For supported managed browser and native endpoint paths, inspect prompts and files before an action on the configured processing path. Control availability varies by provider, interface, operating system, policy and deployment.
When an applicable supported policy requires intervention, Aona can explain the policy and suggest a safer next step.
Use policy and reporting workflows to map organisational controls to selected framework expectations. Evidence supports review; it does not itself determine compliance.
Aona is designed for the leaders who are accountable for how AI is adopted in the enterprise.
Shadow AI visibility, workforce data-risk controls, policy evidence
A clearer view of workforce AI use within agreed deployment coverage.
AI tool rationalisation, spend visibility, approved tool governance
Bring workforce AI inventory, policy, and review workflows into one evaluation.
Compliance reporting, audit trails, framework alignment
Policy and reporting workflows that can support internal review against selected framework expectations.
Policy enforcement, Shadow AI discovery, incident response
Policy controls for supported services on managed endpoint paths. The 10,000+ catalogue is an inventory, not a promise of enforcement.
Use selected framework templates to organise policy and reporting evidence for review.
Compare deployment models, supported interfaces, and evidence requirements against your organisation’s workforce AI use.
Establish workforce AI coverage, apply supported policy controls, and organise evidence for governance review.
Start with a catalogue of known AI services and observe workforce use through agreed managed endpoint paths. Confirm coverage during deployment planning.
Apply your AI acceptable-use policy where supported. Inspect prompts and files before an action on the configured processing path for managed browser and native endpoint paths, then guide users at the policy boundary.
Organise policy and reporting evidence for selected frameworks. Use it to support internal review, rather than as a legal or compliance determination.
FAQ
Scope workforce AI coverage, deployment, and policy evidence around your environment with an Aona specialist.