No data, no agents: Architecting your B2B data landscape for AI agents

Date

20 May

Time

9.00 AM

Duration

30 minutes + Q&A

At IMPACT, we’ve never had so many enterprise PIM projects as we do right now. Why is that?

AI agents point to a future where many steps of B2B buying are done automatically – where systems negotiate, replenish, and troubleshoot independently. But AI projects often reveal the truth about your data and systems. If your product data is inconsistent and your customer logic is trapped in legacy silos, AI agents won’t be an efficiency gain.

We are seeing major players stall their digital transformation because they underestimated the “data debt” required to fuel autonomous systems. Shadow code, shadow systems, shadow processes. Decomposed data is the silent killer of all ROI on AI and LLM projects – and B2B transformations in general.

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In this webinar, you’ll get:

The “agent-ready” maturity model: How to assess if your current PIM and ERP data can support autonomous agents?
Closing the context gap: Why standardising metadata is the single most important task for your commercial team in 2026? And what errors we see.
Cases and learnings: How leading manufacturers in Sweden, Denmark, and Norway are currently working to structure their data to win the AI race.