Governed Data for Agentic AI

Companies are spending more on AI than ever and seeing almost none of it show up in the P&L. In this episode of Domo's podcast, Governed Data for Agentic AI, Mark Boothe, Chief Marketing Officer, sits down with Chris Willis, Chief Design Officer and AI Futurist, for an honest, hype-free read on where agentic AI actually stands.

They dig into the "J-curve" that explains why productivity gets worse before it gets better (the same dip that hit the PC), why handing teams more tools stalls progress when mindset and enablement should come first, and why most AI usage is invisible to the leaders who assume they can see it.

Chris lays out his VPC model (visibility, predictability, and control) as the practical path from cool pilot to something you can trust in production, while Mark shares hard-won lessons from transforming his own marketing org, including the Domopalooza keynote videos his team produced for $1,700 instead of hundreds of thousands. Listen for a clear-eyed take on crossing the productivity dip, closing the governance gap most companies are ignoring, and building agentic AI that (dare we say) actually pays off.

After listening, you'll learn:

• The productivity J-curve, and why a slow payoff is normal
• The mindset-before-tools AI operating model
• Chris Willis's VPC model for trustworthy agents
• Why governed data is Domo's foundation for the agentic era

Tyler Clark, Solutions Engineer Manager at Domo, walks through a custom pro-code app built for a community bank tackling siloed reporting, regulatory complexity, and proactive loan portfolio management. It unifies bank-wide KPIs into one executive command center, uses Snowflake Cortex AI to model rate scenarios and flag NIM compression risk early, centralizes AML alerts, SAR filings, and KYC deadlines in a governed compliance center, and surfaces early warning signals so credit officers can act on deteriorating loans before migration.

The legal industry is entering a new era, and Domo AI is helping lead the transformation. AI is no longer just a buzzword—it's becoming an everyday tool for litigation teams.
Join us as we demonstrate how Domo AI streamlines legal workflows by identifying expert witnesses, generating medical chronologies, drafting demand letters, etc.

Are you ready to turn every coach in your organization into your sharpest player development strategist? Watch us demo a live, pro-code Baseball Intelligence Platform that analyzes game logs and swing mechanics to surface player development flags and pitcher workload risks. We'll walk through how the platform generates full 90-minute practice plans grounded in real data and routes personalized take-home drills directly to a family portal—all with human-in-the-loop coach approval. This is what happens when every practice plan, pitcher decision, and family touchpoint runs on agentic AI built entirely on the Domo App Platform.

Domo unifies real-time operational data into AI-ready data products, enabling AI agents and human decision-makers to optimize routing, reduce boil-off gas losses, minimize fuel and demurrage costs, and improve fleet utilization—unlocking potential savings of $600K–$1.2M per LNG voyage.

In this livestream, marketers, analysts, and team leaders learn a practical path. Start small with one agent, then use Domo's MCP to activate AI on governed data. Examples shared include a paid-media insights agent and creative work produced in less time, drawn from a shared knowledge base and delivered where teams already work.

Most companies get Snowflake right and stop there. Domo's Mark Boothe and Chris Hunter show what happens next. A Revenue Command Center federates governed data via Cloud Amplifier without copying it, while Cortex Analyst and Cortex agents answer and act with RBAC and full audit trails. Every AI-recommended retention plan still gets a human-in-the-loop approval before it runs. This is agentic AI built on Snowflake, extended to your whole organization, not just your data team.

Full AI autonomy promises speed, but it often costs trust. In this Domo livestream, Abby Stowell, Solution Engineer, and Mark Boothe, CMO, explore how Human-in-the-Loop AI blends AI efficiency with human oversight to catch errors, reduce bias, and build responsible AI systems people can rely on. Through real-world examples spanning multiple industries, they show why keeping humans at the center leads to smarter, more accurate outcomes. This is agentic AI, governed by people, not just processes.

If your team is tracking referrals on sticky notes and managing member relationships in spreadsheets, you do not need to buy another SaaS tool. Domo CMO Mark Boothe and Solutions Engineer Shana Brennan demo a live AI-native CRM built entirely in Domo that logs calls, drafts personalized emails, moves pipeline stages, and runs a weekly AI sweep to identify new revenue opportunities across your entire member portfolio, all without writing a single line of code. This is what your data foundation looks like when it goes to work.

Reading hundreds of contracts to find the ones that need a decision today is not a job for a human. Domo CMO Mark Boothe and Forward Deployed Engineer Paul McCusker demo a live agentic contract management solution that extracts key terms from PDF agreements, benchmarks portfolio performance against external sentiment data, surfaces at-risk and expiring contracts, and routes renewal approvals through a governed workflow, all with row-level security that ensures every user only sees what they are supposed to see.