Webinars & Video

Operationalizing AI in GRC

See how risk and compliance teams are using AI to move faster on the work that slows them down most — without adding tools, headcount, or risk.

March 19, 2026 · DURATION: 30 MIN

Compliance teams must manage a growing volume of regulations across more parts of the business than ever. And 61% are doing it without the headcount to keep pace. Something has to give, and for most teams, it’s the time they’d rather spend on higher-order analysis and strategic decisions.

AI doesn’t fix that by replacing judgment. It fixes it by handling the structured, repeatable tasks that eat up most of the week — summarizing regulatory text, mapping controls across frameworks, scoping new obligations, classifying risks — so teams spend less time on groundwork and more on the calls that require real expertise.

In our on-demand webinar, “Operationalizing AI in GRC”, Resolver’s Yoga Huo, Senior Product Marketing Manager, covers where AI is being applied in GRC right now, which patterns are showing up across the industry, and what responsible adoption looks like in heavily regulated environments.

Audit and regulatory reports are a good example. Most teams are still building them from scratch — pulling from multiple sources, reconciling formats, chasing down evidence. AI-assisted workflows change that by generating a grounded first draft your team can review and refine, which cuts the back-and-forth significantly.

Most AI proposals get blocked because they arrive without the documentation legal, risk, and audit teams need to evaluate them. Our on-demand webinar covers exactly what approvers need to see, and how to get those artifacts in order before the conversation stalls, including:

  • Where AI is delivering the biggest time savings in GRC today
  • How to document AI use cases in a way legal and risk teams will accept
  • Which controls keep AI outputs auditable, traceable, and defensible
  • How to design for human oversight without creating bottlenecks

Watch the replay today and see how teams are operationalizing AI in their GRC programs.