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Your categories shown live in Inflation Watch during the session
30-min tailored walkthrough - no generic product tour
Scenario modelling demo using your spend profile
Cost driver and forecast data relevant to your direct and indirect categories

Forecast with confidence
Forward-looking cost structure insights across direct and indirect categories

Deep inflation insights
Combine market trends with internal data for AI-driven recommendations

Simulate price scenarios
What-if modelling to quantify financial impact and protect margins

Unlock cost efficiencies
Identify savings and negotiation levers by benchmarking unit costs
Procurement leaders are expected to do everything at once: cut costs, secure supply, and transform with AI. Yet too many decisions are still being made blind. It isn't that the data doesn't exist; there's too much of it. Fragmented, unvalidated, and stripped of context, it's just noise.
01
Where AI genuinely helps in procurement and where it doesn't
A honest look at when to use a generic LLM, when to add human validation, and when you need decision-grade intelligence.
02
What "decision-grade" intelligence actually means
Three words: defensibility, explainability, accountability. Can you explain the why and name who stands behind it?
03
How Gilead combines internal data with external market intelligence
How Gilead's supplier recommendation engine evolved from internal data to Beroe-enriched intelligence and what that unlocked.
04
Practical steps your team can take right now
Map decisions to the 2×2 matrix. Set guardrails. Fuel high-stakes calls with validated intelligence. Plus why most AI pilots stall.
""Once you set a standard, it must support decision confidence outcomes that can be trusted and are consistent. The data that's coming back has to be structured, validated, and something your users can actually stand behind."
- Jennifer Sieber, Senior Director & Head of Procurement Systems & Insights, Gilead Sciences

Jennifer Sieber
Sr. Director, Head of Procurement Systems & Insights · Gilead Sciences
Six years modernizing procurement at Gilead through data, technology and AI – from supplier recommendation engines to org-wide AI competency programs.


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