Webinar | Agentic AI in financial services: lessons from Adyen
Software Improvement Group (SIG)
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Webinar | Agentic AI in financial services: lessons from Adyen
91 просмотр · 10 дн. назад
Software Improvement Group (SIG)
342 подписчика
91 просмотр · 10 дн. назад
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 - Applied 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.
Chapters:
00:00 Trailer
00:48 Welcome
02:15 AI in Production
06:32 Measuring Productivity
08:41 Full Autonomy Use Cases
14:14 Architecture & Tech Debt
19:40 Training Your Own Models
22:59 Agentic Experience
27:00 Pitfalls & Lessons Learned
29:36 Token Costs
38:40 Getting Started
41:29 AI Misconceptions
Complementary reading: The AI Boardroom Gap in FSI
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