Airia has expanded its governance module to help teams act on what they already know: that review has to start earlier, and disclosure has to stay current.
Governance teams can now register, assess, and disclose AI use cases from one workflow, before the build and after it ships. The expansion is led by Living Disclosures and Two-Stage Intake capabilities.
Governance Paperwork Goes Stale the Day It Is Written
AI use is spreading faster than governance teams can document, assess, and disclose it. Four gaps show up repeatedly:
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Review starts after the build. When registration requires a linked asset, an agent or model must already exist before anyone assesses its risk. Governance arrives late, and the register trails what is actually running.
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Disclosures sit in static documents. A policy page or slide records what an AI use case did on the day someone wrote it. Models, data sources, and policies change, and people meet AI in chat and in the tools they work in, not in a PDF.
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Regulation now expects visible notice. Most transparency obligations under EU AI Act Article 50 have applied across the European Union since Aug. 2, 2026. Which of your uses fall in scope depends on the use case and your role, so counsel decides.
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Assessment and evidence are manual. Mapping each use case to frameworks, scoring risk, and collecting evidence for committees and auditors takes spreadsheets and meetings, and the work repeats every time the use case changes.
Teams that call today’s intake “bureaucratic” are describing the same problem from the user’s side: friction at the start, and nothing current at the end.
Start Review at the Idea
Governance works best when it begins before anything is built. Two-Stage Intake lets your team register and assess a use case first, then attach assets as they ship. Three capabilities make that practical:
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Two-Stage Intake: register and assess a use case before any asset exists, then attach agents, models, and other assets as they are built.
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Autofill: drafts registration answers from a linked asset or a planning document, identifies sources and confidence levels, and flags low-confidence answers for review.
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Governance agents: read use-case documents and draft risk and impact assessments, so the first pass no longer starts from a blank form.
The result is a register that reflects what teams plan to run, not only what already runs.
Keep Disclosures Current
Living Disclosures publishes a notice from live governance data at the point of use, so the notice people see matches the use case as it runs. This release expands where it reaches:
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It reaches where people use AI. Living Disclosures now reaches agents deployed in message services such as Slack and Microsoft Teams.
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It follows the use case. Notices accompany agent responses with a details callback URL and reflect each use case’s configured data elements.
Because the notice draws on live governance data, it updates when the use case does. Nobody has to republish a policy page.
Keep Evidence Tied to Each Use Case
Committees and auditors ask for evidence tied to each use case. The goal is to hand auditors that evidence without rebuilding it.
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Preloaded frameworks: evaluate each use case against 15 preloaded frameworks, with an individual score for each.
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Governance agents: analyze use-case documents and draft risk and impact assessments.
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Okta NHI integration: feeds non-human identity events into automated agent governance.
These capabilities run on the same platform that discovers AI across the enterprise, so a use case Airia finds enters the governance workflow with its details already attached.
Where to Start
Pick one use case, get its record right, and publish its Living Disclosure. Then repeat. Governance programs mature one use case at a time.
See Living Disclosures, Two-Stage Intake, and the rest of the governance module in action. Request a demo with our team today.
Put these ideas to work.
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