Everyone’s asking the same question: “Why do I need Domo? Can’t I just use Claude, ChatGPT, or Copilot?” It’s a fair question, one best answered live. AI tools are remarkable. They summarize, analyze, explain, and generate answers in seconds. But AI is only as smart as the data and context behind it. Many teams are already feeding these tools partial, stale data from spreadsheet exports with unclear business definitions, then acting on whatever comes back. That’s fine for a grocery list, but when the questions affect revenue, customers, operations, or executive decisions, a confident answer isn’t enough. FEATURED SESSION: Join Domo CMO Mark Boothe and Solution Engineer Megha Kumar for a live, side-by-side proof that tackles one of the most common AI objections in the market today: "Why do I need a data platform if I can just ask AI?" They'll demonstrate the importance of the data layer by asking the same revenue question two ways: first to a standalone LLM using exported spreadsheets and raw data, then to a Domo AI Agent grounded in governed, connected business data. The result is a clear contrast between a confident answer and a trusted, explainable path to action. No stale numbers. No mystery calculations. No answers trapped in a chat window. What you’ll see: It’s Grounded: The agent answers from governed, connected, refreshable business data, not a spreadsheet someone exported last Friday. It’s Transparent: We’ll show how raw AI analysis can produce a confident answer without clearly exposing the calculation, assumptions, or business rules behind it. It’s Governed: Domo applies the approved business logic before AI answers the question, helping ensure that metrics are calculated consistently across the organization. It’s Agentic: This isn’t just a chatbot on top of a dashboard. The agent analyzes the data, explains the reasoning, recommends the next step, and routes decisions for human approval. It’s Accountable: AI usage can grow quickly across an organization. Domo gives teams a governed place to connect AI to trusted data, workflows, decisions, and measurable business outcomes. The question isn’t if your team should use AI. They already are. The question is whether that AI is grounded in data you can trust, whether the logic is clear, and whether the insight can become action. That’s what Domo makes possible.

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