Every SAP Business One business is being asked the same question right now: what is our AI plan? But the tools making the headlines are only ever as good as the data beneath them, and in most growing companies that data still lives across spreadsheets, add-ons and disconnected reports. In this session, Rohit Kanwara from Zap shares how Zap approached the problem: why the hard part of AI and modern analytics is not the AI, it is the data foundation underneath it. Drawing on what Zap hears on calls with finance and operations teams across the SAP Business One ecosystem, he’ll walk through the trends reshaping ERP reporting, the traps that quietly make numbers untrustworthy and what separates the teams that get fast, reliable answers from those still stuck reconciling. He’ll also take a live, honest look at what conversational AI on ERP data actually looks like: what makes it work, and what makes it fall over. You’ll leave with a clear picture of what a trustworthy data foundation looks like, and why it is the thing that makes reporting, dashboards and AI actually work.

What you’ll learn

• Why AI and analytics initiatives succeed or stall on data quality, not the tooling

• The reporting and governance trends shaping SAP Business One over the next 18 months

• A practical checklist for building a single, trusted source of truth on your SAP B1 data

• Real-world patterns from B1 finance and operations teams that got it right

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• This discussion was modified 1 month ago by  Gary.