Two days, built for engineers.
Sessions, keynotes, and breaks across every stage. Released day by day as the lineup locks in.
Where to be, and when.
- 10:30 – 11:15SeattleNo Framework, No Server: Making AI Agents Collaborate in One TerminalAI Engineering & DataLech Kalinowski
- 10:30 – 11:15CupertinoSecuring AI Agents on Kubernetes: Identity, Sandboxes, and Policy EnforcementAI Engineering & DataRoland Huß
- 10:30 – 11:15Los GatosHow will we prompt AGI? A History of Harness Hacks.AI Engineering & DataIvan Charapanau
- 11:30 – 12:15Los GatosSame Bug Twice: What Happens When AI Writes Your Code And Your TestsSoftware Architecture & Engineering ExcellenceMourjo Sen
- 11:30 – 12:15SeattleAgents Propose, Git DisposesCloud, DevOps & Platform EngineeringJaroslaw Gajewski
- 11:30 – 12:15CupertinoAI Tokenomics: Principles for Cost-Efficient GenAIAI Engineering & DataGrzegorz Wasilewski
- 12:30 – 14:00Silicon ValleyPrivate AI with Docker and UpCloudCloud, DevOps & Platform EngineeringPaweł Piwosz
- 12:30 – 13:15RedmondTerraform, day 1001Cloud, DevOps & Platform EngineeringPiotr Trębacz
- 12:30 – 13:15Palo AltoI packaged my application in a container image, and now what?Cloud, DevOps & Platform EngineeringAurélie Vache
- 13:30 – 14:15Cupertino(MCP Security) - How Your Friendly MCP Tool Might Betray YouCybersecurityDaniel Ostrovsky
- 13:30 – 14:15Palo AltoBeyond Coding Assistants: Orchestrating the Entire SDLCAI Engineering & DataIllia Slepau
- 13:30 – 14:15RedmondFrom GenAI Training to Production. Lessons learned from Building AI Agents for Financial Services ClientsAI Engineering & DataAnna Żółtańska
- 14:30 – 15:15CupertinoAgents are easy, enterprises are where they breakAI Engineering & DataKonrad Bujak
- 14:30 – 15:15Palo AltoSourcecode translation as a step in Legacy ModernizationSoftware Architecture & Engineering ExcellenceLeszek Włodarski
- 14:30 – 15:15Los GatosDesign Systems That Explain ThemselvesSoftware Architecture & Engineering ExcellenceSzymon Chudy
- 15:30 – 16:15CupertinoBuilding the next generation of AI developer toolsAI Engineering & DataKrzysztof Cieślak
- 15:30 – 16:15Los GatosPlatforms That Don't Suck - Creating tools that teams might actually loveCloud, DevOps & Platform EngineeringKarolina Ochlik
- 15:30 – 17:00Silicon ValleySecuring AI Agents with Fine Grained AuthorizationCybersecuritySohan Maheshwar
- 16:00 – 16:45Palo AltoMFA? Game over! Watch your protection collapse – liveCybersecurityChristoph Menzel
- 16:30 – 17:15CupertinoGitHub Actions moves to CosmosDB: data migration at internet scaleSoftware Architecture & Engineering ExcellenceBassem Dghaidi
- 16:30 – 17:15Los GatosForensic DDD: Reverse-Engineering the Domain Your Legacy System Never DocumentedSoftware Architecture & Engineering ExcellenceRaj Navakoti
- 16:30 – 17:15RedmondAgile isn't dead, you're just doing it wrongEngineering careersKarolina Ochlik
From GenAI Training to Production. Lessons learned from Building AI Agents for Financial Services Clients
Anna Żółtańska
In 2026, GenAI success is no longer measured by the number of pilots but by the number of solutions running in production. This session tells the story of how our GenAI Architects working group at Financial Services GenAI CoE transformed widespread adoption into real client delivery. With 90% of employees trained in GenAI, 15% reaching expert-level proficiency, and AI initiatives delivered across more than 20 major financial services clients, we developed a practical framework for building, testing, and scaling enterprise AI agents. Through real delivery examples, I will demonstrate how AI agents were used to automate requirements analysis, software testing, documentation generation, operational monitoring, and modernization initiatives. The presentation will cover multi-agent architecture, evaluation strategies for non-deterministic systems, enterprise integration patterns, and lessons learned from deploying AI within highly regulated environments. The goal is not to showcase another AI product, but to share proven engineering practices that enabled AI adoption at scale and generated measurable business value for clients.
Save your seat before it fills.
Early pricing runs while the programme is still being finalised.