Our sessions
Formula AI – Gamified Learning for AI-Augmented Engineering
How do you activate AI adoption among software engineers? At Aigency, we created Formula AI – a gamified tool that helps engineers build skills in AI-Augmented Engineering in a fun and engaging way. By combining competition to drive individual motivation and cooperation to strengthen team learning, Formula AI turns adoption into a shared challenge. In this session, we’ll share lessons learned from implementing Formula AI at a leading insurance company, showing how gamification can foster innovation, accelerate skill development, and create lasting impact in engineering teams.
Alex van Assem & Elise Lems
Business process automation reality check: why flow first, AI second works
The AI automation hype is real, but successful implementation isn’t about jumping straight to artificial intelligence. This session challenges the “AI first” mindset and introduces the “flow first” principle: you can’t have an AI flow without understanding your business flow first. We’ll explore practical process analysis methods and demonstrate why identifying bottlenecks comes before any AI implementation. Through a real-world case study, we’ll show that the most effective approach often starts with scrapping unnecessary tasks, then optimizing manually, before considering AI. Leave with a concrete action plan to map your processes and identify where automation can truly add value.
Joop Snijder & Johan Vink
Automating Business Value: AI-Driven Optimization Starts with Better Data
Many businesses struggle to realize AI’s promise due to poor data quality. In this session, we reveal common pitfalls, challenge the myth that “we’re not ready,” and show how AI can help fix the foundation – your data. From proactive quality checks to smart UI support, we’ll show how automation starts delivering value the moment your data is ready for AI.
Joop Snijder & Niels Nagle
Here’s why you should use agents for your next modernization project
As organizations face increasing pressure to modernize legacy systems, AI agents appear as powerful allies in the journey toward modern, scalable software architectures. In this talk, we show how autonomous AI agents can drive software modernization. Through a live demo, we’ll illustrate how these agents analyze, refactor, and transform legacy codebases to modern frameworks while keeping the human in the loop.
We’ll cover the following topics:
- The business impact of using AI agents for modernizing code.
- The reasons why AI agents are faster at upgrading code.
- Common pitfalls when using AI agents to modernize code.
Willem Meints & Elise Lems
