Every recruiting team has a backlog. Open reqs aging past SLA, hot jobs buried in spreadsheets, and recruiters spending their best hours building the briefs that should already be in front of them. What if your data could do that work instead? At Domo, we built an AI Recruiting Agent that doesn't just surface the problem — it tells you what to do about it. The agent reads your Workday data, scores every open requisition for time-to-fill risk, segments your pipeline into Critical, At-Risk, and Healthy, and generates a recommended next action for each one — with the rationale built in. When a recruiter agrees, one click routes the decision through a governed workflow, logs it to AppDB, and sends a confirmation. Your best strategic thinking, automated. Your team's judgment, preserved. Featured Session Join Domo CMO Mark Boothe and Kenny Scott, Solution Engineer at Domo, as they walk through a live build of the Domo AI Recruiting Agent — end to end, on the Domo platform. You'll see how App Studio, Workflows, Code Engine, and Domo AI work together as a single connected system; the agent analyzing your pipeline in real time, generating recommendations your recruiters would have spent hours writing, and routing every decision through a human before anything moves. No autonomous action. No black box. Just your data, your judgment, and AI doing the heavy lift. What You Will See: • It's Agentic: Risk scoring, next-best-action generation, rationale writing — the agent works the pipeline so your team works the offers. • It's Connected: App Studio front end, Domo Workflows for orchestration, Code Engine for the AI logic, AppDB for persistence, and Workday as the source of truth — one platform, every layer. • It's Governed: Every recommendation goes through recruiter approval. No autonomous offers, no autonomous closes, no surprises. Join Mark and Kenny and see what a modern recruiting engine looks like when it runs on agentic AI.

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