Agentic AI in financial services: lessons from Adyen

Practical lessons on agentic workflows from the field with Adyen: three use cases, how to fail fast, and the metrics that matter.

📆 Date | July 1st, 2026

⏰ Time | 3:00 PM CEST

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AI adoption across financial institutions keeps running into the same obstacles: aging legacy systems, brittle foundations, mounting compliance demands, and unrealistic expectations. At the same time, agentic systems are being deployed.

In this session, Jasper Geurts, CTO at Software Improvement Group (SIG) sits down with Erwin Huizenga, Head of Engineering AI at Adyen to unpack what agentic AI looks like in production. Adyen operates a global payments platform under strict regulation, so its engineers speak from real production experience rather than theory.

The conversation covers three areas where Adyen is putting agents to work:

  • AI-assisted engineering, such as writing and documenting code
  • the operational and compliance work behind running payments
  • the products they build for the businesses they serve

You will hear how to fail fast inside a regulated enterprise, which metrics actually signal success, and why the processes and harness around the AI model matter more than the model itself. The discussion also confronts the productivity mirage and how to manage token cost before it erodes returns.

You will leave with a clear view of what works, what fails, and how to measure agentic AI honestly.

Meet your speakers

Learn from experts

Erwin Huizenga
Head of Engineering AI at Adyen
Jasper Geurts
Host & CTO of Software Improvement Group

We are Software Improvement Group

Govern the software your business runs on.

Software Improvement Group (SIG) enables organizations to embrace AI with strategic control and to become more agile & resilient through secure, high-quality software.

Sigrid® – its continuous software portfolio governance platform – leverages the world’s largest software metric database containing over 400 billion lines of code across more than 20,000 systems and 300+ technologies, and intelligently recommends the most crucial initiatives for organizations.

SIG complies with multiple ISO/IEC standards, including ISO/IEC 27001 and 17025, and has co-developed ISO/IEC 5338, the new global standard for AI lifecycle management.

SIG was founded in 2000 and has offices in New York, Copenhagen, Brussels, and Frankfurt, and is headquartered in Amsterdam. Sigrid®, together with expert software engineering consultants, and over 25 years of industry-leading research, positions SIG as the foremost authority on continuous software portfolio governance.

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