Agentic software experience

AI agents work independently, take initiative and operate in parallel across your codebase. As a result, the real challenge shifts from tooling to the operating model: how do you organise collaboration between people and agents within a single delivery process?

This experience focuses on developing those skills by placing teams in a realistic working environment. It quickly reveals what agentic working means for governance, quality and team dynamics.

The challenge

Agentic AI primarily changes what you need from your team. For engineers, the focus shifts towards steering, adjusting and assessing work.

But this way of working does not emerge by itself. Most teams are organised around linear processes, individual tasks and full control over their own work. Agentic AI breaks through that pattern and introduces a multi-actor system in which people and AI contribute simultaneously.

For IT management, the challenge is therefore not tooling, but capability building and redesigning the delivery model. Your team needs to learn how to work with agents, and understand when this way of working is and is not effective.

Key questions

How do you train teams to collaborate effectively with AI agents that take initiative?

How do you develop the skills needed to steer agents, prompt effectively and assess AI-generated output?

How do you help teams experience what parallel, agent-driven working means in practice?

Training at scale

Agentic AI does not call for individual upskilling, but for a collective shift. It only delivers value when entire teams learn to think and act within an agent-driven process. Isolated experts do not create acceleration, but dependency.

That is why our approach focuses on training large groups at the same time. With shared frameworks, collaborative exercises and direct application to a common backlog. Teams experience how agents work in parallel on development, testing and documentation, and what this requires in terms of alignment and governance.

The result:

  • Less fragmentation, faster adoption and a consistent way of working across teams. At the same time, teams gain a clear understanding of where agentic development adds value, and where traditional ways of working are more effective.

Successful partnerships

Why choose Info Support?

100% Dutch

No foreign ownership or influence. Fully governed by Dutch law.

Expertise

Technical excellence combined with deep domain knowledge.

Guaranteed results

Results-driven. When we make a commitment, we keep it.

Financial strength

A profitable family-owned business since 1986. Your stable, long-term partner.

Get in touch

Would you like to explore what agentic AI means for your organisation and teams? Or assess where you stand today and what a logical next step could be?

Leave your details and we will contact you for a focused conversation about your situation.

Frank Thiele

Unit Manager Energy & Industry