Andrew Hayden

Principal Product Marketing Manager Precisely

As the Principal Product Marketing Manager for the Automate product portfolio at Precisely, Andrew Hayden is at the forefront of developing product marketing and sales enablement programs for the company’s SAP automation solutions. His thought leadership extends beyond the office, as he frequently shares his insights on digital transformation and the future of process automation in webinars and events. His ability to engage in customer discussions about specific use case needs for the Automate products further demonstrates his expertise and customer-centric approach. Before joining Precisely, Mr. Hayden spent over 25 years in senior marketing and product roles for companies ranging from tiny startups to global technology giants, including IBM, Siemens, and Nortel. He has also worked as a small business owner, product designer, and hand-crafted custom leather bags for customers worldwide. He has a Bachelor of Industrial Design and Fine Arts from Syracuse University and an MBA from Emory University in Atlanta. He lives with his wife and two cats in Seattle, Washington.

Day 1 - 8 September 2026

10:30 AM Shared Services, SAP, and AI Readiness: Building the Operational Foundation for Scalable Automation

Shared services leaders are under pressure to turn AI ambition into real results – but in many SAP environments, the foundation isn't ready. Data quality issues, fragmented processes, and manual workarounds continue to limit the impact of automation, analytics, and AI.

In this 30-minute session, Andrew Hayden will show why AI success depends on fixing the operational data and processes behind shared services functions like order-to-cash, procure-to-pay, and record-to-report.

You'll learn how leading organizations are using SAP S/4HANA transformation as an opportunity to replace spreadsheets and disconnected workflows with governed, scalable processes that improve data quality, increase visibility, and enable reliable AI outcomes.

The session will introduce the Operational AI Readiness Layer and share practical examples of how shared services teams can reduce manual effort, standardize operations, and build a trusted foundation for AI, analytics, and emerging agentic use cases.

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