AI Assisted Development: Scaling Productivity Across Your Organisation (After Work)
About Event
AI-assisted development is moving fast, but turning individual productivity gains into real, organisation-wide capability is harder than it looks. Most teams are somewhere between experimentation and consistent adoption, and the gap between the two is rarely about tooling alone.
This session is for engineering leads, developers, and tech managers figuring out how to take AI-assisted development beyond individual contributors and scale it across the whole organisation. You'll get presentations to spark ideas, and plenty of room for honest conversation with peers who are navigating the same shift.
You'll leave with concrete insights on where organisations are today, which competencies are becoming critical, and what it actually takes to make AI-assisted development stick at scale - over pizza and beer.
Topics we will cover
Where organisations are today - What does the typical adoption journey look like, where are the most common blockers, and what have organisations that are seeing real gains done differently?
The competencies that will matter most - As AI tooling becomes embedded in development workflows, which skills are becoming more valuable and how do you start building for that future now?
Working with AI as a team - Effective AI use isn't just an individual practice. What does good look like at the team level, and how do you build shared habits and structures around context and knowledge?
Scaling across the organisation - How do you take what works in one team and apply it across a whole organisation? What processes, tooling, and cultural shifts does that require?
Meet the speakers
Lea Renmarker: Senior Data & AI Consultant at imeto specializing in modern data platforms, Lea focuses on streamlining data workflows and building scalable, AI-ready platforms that accelerate development. Her work centers on making data more accessible across the organization, empowering teams to become more self-sufficient and drive faster insights.
Olof Bengtsson: AI Engineer at imeto, Olof has spent his career building AI systems that make it out of the lab and into production, across machine learning, computer vision, and language models. Today he focuses on agentic systems: the architecture, evaluation, and guardrails that decide whether an agent stays an impressive demo or becomes something a business can actually depend on.
Practicalities
Date: 2026-10-07
Time (start & end): 17.00 - 20.00, the presentations and discussions starts at 17.30 and will last for approx 1 hour. Followed by light meal and after work.
Included: Light meal and beer
Limited spots: 30