Governed Data for Agentic AI

Episodes

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  From Fantasy Sports to First-Time Logins: Inside Domo's AI Pundit Committee 22.09.2026 9m

  Join Domo’s CMO, Mark Boothe, and Jeff Clobes, Solution Engineer, Domo, as they pull back the curtain on a bespoke pro-code application that solves a tough challenge in every Domo rollout—getting people to log in the first time and keep coming back—by borrowing the mechanic that already runs every office fantasy league. Jeff will walk through how the app clones the personalities of four opinionated pundits, pits users against an algorithmic rival manager, generates hot takes and a full weekly audio recap grounded in real MLB game data, and writes every submitted pick and scored day back to a governed Domo AppDB collection the moment a user locks it in. All of this is engineered end to end on Domo.What You Will See: • It's Agentic: The app doesn't just visualize data; it analyzes daily performance, generates in-character takes from four distinct pundits, produces a Hot Take of the Day chyron, drafts a rival manager's deadpan reaction, and delivers a fully-scripted 2–3 minute audio broadcast with mood-detected intro music tuned to the week's outcome. • It's Connected: One application, every layer. A custom pro-code front end, live queries against a governed Domo dataset, Domo AI calling foundation models for every take and recap, AppDB for pick persistence and scored daily reports, and browser-native voice synthesis giving each character their own sound—natively integrated, reading where it should and writing where it matters. • It's Habit-Forming: Fantasy sports mechanics engineered into the fabric of Domo. Standings, roasts, weekly recaps, streaks. There’s no corporate onboarding, compliance training, or forced adoption. Just something people already want to check.
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  Why Your AI Prototype Falls Apart at Scale and How to Fix It 21.09.2026 35m

  AI can spin up a slick prototype in seconds, but a demo that looks ready and a system that actually ships and gets adopted are two very different things. In this episode of Domo’s podcast, Governed Data for Agentic AI, Chris Willis, Chief Design Officer at Domo, speaks with Dan Hendriksen, who leads Domo’s Advanced Customer Enablement (ACE) program and spends his days helping customers turn AI experiments into things they can actually run. He’s watched the same patterns play out across build after build, and he’s here to share what separates the projects that ship from the ones that stall.This conversation is all about “plausibility theater”: the trap of building something that looks like it should work but quietly skips everything real systems need (user volume, concurrency, security, edge cases). Dan explains why the planning conversation matters more than ever now that AI has taken the developer out of the loop, why “do not code” and plan mode are becoming essential habits, and why the time you save on a prototype is best spent up front with stakeholders instead of iterating 45 times on the wrong thing.Chris and Dan also get into the bigger shifts AI is setting off: the rise of curious generalists over stay-in-your-lane specialists, the long tail of low-value problems that’s finally worth solving, and the move toward bespoke apps that do exactly what a team needs. Along the way Dan makes the case that some of the best AI is maybe not AI at all, and that it all starts with a deceptively simple question: Why? Listen for a practical, field-tested take on getting past the demo and building AI that ships and works. After listening, you'll learn:• What “plausibility theater” is and how to avoid it• Why the planning conversation beats jumping straight to code• How roles are shifting toward curious generalists• When the right answer is a simple automation, not an app
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  From Consulting Line-Item to Reusable Asset: AI-Driven Data Migration 18.09.2026 21m

  Join Domo CMO Mark Boothe and Ron Karas, Principal Solution Engineer at Domo, as they pull back the curtain on a repeatable, AI-driven approach to operational data migration, built for organizations where the next acquisition is already on the calendar. Ron will walk through why these projects are so costly, then prove the alternative end to end on Domo: taking a real Microsoft Dynamics 365 Business Central customer extract, using genuine Microsoft-documented field names, and having the Domo plugin automatically generate, run, and verify a working ETL that outputs SAP-ready data. The use case is ERP, but the pattern travels, CRM, financial systems, and proprietary systems all migrate the same way. And you can get this live in hours with no new tooling on the Domo platform.
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  How Healthgrades Replaced a 100MB Excel Tool with a Domo AI Agent 10.09.2026 36m

  In this episode, CMO Mark Boothe sits down with Zach Ehasz, Director of Product Management for Hospital Quality at Healthgrades, to unpack how his team turned a decades-old sales tool into an AI-powered discovery engine. AMT had become a 100MB+ macro-enabled Excel workbook that broke constantly and spat out five static reports. Rebuilt on Domo with AI agents and the Context Engine, it now surfaces unique, comparative award messaging across city, state, and national levels in minutes instead of days. A masterclass in putting AI to work on your own data, safely.
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  AI-Powered Franchise Development: An Agent-First Command Center Built on Domo 08.09.2026 17m

  Miles Herleikson presents an AI Command Center for franchise developers managing 50 to over 500 locations. This system monitors deal velocity, analyzes market expansion opportunities, detects store opening risks, forecasts revenue impact, and benchmarks franchisee performance—all in a single view.
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  Yum! Brands’ Ben McClave on AI-First BI 03.09.2026 14m

  Ben McClave of Yum! Brands shares his AI-first approach to business intelligence, from an app that builds apps to vibe-coded dashboards wired to a Snowflake Semantic Layer. This is a candid look at moving fast without breaking trust.
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  Streamline RFP and Security Questionnaire responses with Domo AI 01.09.2026 11m

  Scott Pulley shares a retrieval-augmented generation app built with Domo Documents as the backbone. This Intelligent Response Engine drafts RFPs using your institutional knowledge, security documentation, knowledge base, and past RFPs.
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  From Requisition to Hire: Inside Domo's AI Recruiting Agent 27.08.2026 10m

  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. Instead, 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.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 analyzes your pipeline in real time, generates recommendations your recruiters would have spent hours writing, and routes every decision through a human before anything moves. There's no autonomous action and no black box. Just your data, your judgment, and AI doing the heavy lift.
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  From Dashboard to Decision Engine: Inside the AI Business Investigator 25.08.2026 20m

  Built around a national retail operation, the AI Business Investigator starts every morning by answering the questions leaders already care about: How did we perform yesterday? Which regions missed plan? Where is inventory at risk? Which promotions are working? Then it goes further. It evaluates signals across sales, traffic, conversion, inventory, marketing, fulfillment, and customer experience to identify material conditions and unexpected relationships that otherwise go unnoticed.Company revenue may be above plan while one region is quietly deteriorating. Traffic may be increasing while conversion collapses. Marketing may be creating demand for inventory that stores no longer have. Instead of waiting for someone to notice the symptom and ask why, the investigator surfaces the condition, connects the evidence, explains what is happening, estimates the business impact, and recommends what to do next.The goal isn't just to answer questions faster. It's to surface the signals and patterns you didn't know to look for, and to connect signals across the business that aren't obvious in any single dashboard.Featured Session: Inside the AI Business Investigator Join Domo CMO Mark Boothe and Dan Wentworth, solutions engineer manager at Domo, for a live look at an AI-powered retail decision engine built on Domo. We'll start where traditional analytics usually ends: a healthy executive brief showing revenue, traffic, conversion, inventory, and promotional performance. Then we'll launch the Investigator and ask a different question: What is happening in the business today that we haven't thought to look for?You'll see the investigator detect a condition hidden beneath positive company-level performance: one region's revenue is falling even as customer traffic increases. From there, it connects signals across store performance, inventory, marketing, fulfillment, and customer feedback to uncover the underlying issue.The investigator doesn't stop at the anomaly. It builds the evidence trail, estimates financial impact, recommends a cross-functional response, and routes the decision into a simulated Domo Workflow where a human can approve the next action.Designed for retail, but applicable anywhere conditions change faster than people can monitor them.WHAT YOU WILL SEE• Answers before you ask: The daily brief automatically answers the questions retail leaders ask every morning.• AI-detected conditions: The investigator looks for material changes and unexpected relationships not visible in standard reporting.• Cross-functional investigation: AI connects sales, traffic, conversion, inventory, promotions, fulfillment, and customer feedback to explain the underlying issue.• Evidence and impact: Every finding includes supporting metrics, confidence, business impact, and why it may have been easy to miss.• From insight to action: Recommended responses can be routed into Domo Workflows for human approval and operational follow-through.
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  From Attrition Signal to Retention Action: Inside Domo’s AI HR Agent 20.08.2026 14m

  What if you could identify which employees are at risk of leaving before they start sending resumes? Domo’s AI-native Employee Retention Intelligence Agent turns disconnected workforce data into a proactive retention system. It connects information from HRIS platforms, compensation history, engagement surveys, and performance reviews to score employee flight risk daily and explain the factors behind each signal. When elevated risk is detected, the solution generates AI-assisted context and a recommended retention plan, then routes it to the appropriate manager or HR partner for review and action. Each intervention is logged, tracked, and measured to HR leaders can see whether managers are responding and which actions are improving retention. The result is a more consistent, informed approach to employee retention – helping managers address concerns earlier and allowing HR teams to focus on the conversations and actions that keep valuable employees engaged. Featured Session: Inside the Employee Retention Intelligence AgentJoin Brendan Carr, Solution Engineer at Domo, for a demonstration of how Domo can turn employee data into a proactive retention operating system for a fast-growing tech company. The session will show how the agent: Unifies signals from HRIS, compensation, engagement, and performance systemsScores employees daily using explainable risk factorsGenerates personalized retention plans and manager talking pointsRoutes escalations to HR with full context attached Tracks manager accountability from the initial signal through resolutionBuilt end to end on the Domo App Platform, the solution can be deployed in weeks without replacing existing HR systems. Personalized data permissions ensure managers see only their direct report, while HR maintains appropriate oversight. Why It MattersIt’s Agentic: The solution goes beyond dashboards by identifying risk, explaining contributing factors, recommending interventions, and routing actions to the right person with human approval at critical steps. It’s Connected: App Studio, Domo Workflows, Magic ETL, Python-based modeling, and existing HR data work together in one application. It’s Governed: Access is restricted by role, HR reviews escalations, and every retention action is logged and measured. There are no autonomous employment decisions and no unnecessary exposure of employee data. See what happens when employee data stops being a report and becomes a governed, measurable retention system.
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  The State of Agentic AI 18.08.2026 42m

  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 normalThe mindset-before-tools AI operating modelChris Willis's VPC model for trustworthy agentsWhy governed data is Domo's foundation for the agentic era
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  Real-Time Banking Intelligence: Domo + Snowflake Cortex AI 13.08.2026 15m

  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.
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  AI-Powered Law Firm: Revolutionizing Litigation Prep and Execution with Domo 11.08.2026 20m

  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.
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  From Data to Diamond: Inside Domo's AI Baseball Coaching Platform 06.08.2026 12m

  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.
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  Operational Excellence in LNG Industry with Domo's AI Platform 04.08.2026 19m

  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.
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  How Any Team Can Start and Scale AI in Domo 31.07.2026 20m

  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.
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  Beyond the Data Team: How Domo Extends Snowflake & AI to Everyone in Your Org 31.07.2026 14m

  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.
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  Human-in-the-Loop AI: Keeping Humans at the Center of AI 31.07.2026 12m

  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.
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  Your CRM, Built on Domo: Inside an AI-Native Customer Relationship Platform 31.07.2026 18m

  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.
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  The Agent That Turns Any Complex Agreement Into a Managed Business Decision 31.07.2026 19m

  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.