“We want to use agents!” If your CEO keeps saying that, you’re not alone. Many organizations are racing toward autonomous agents and AI driven workflows. But the fastest way to derail an AI transformation is to jump straight to agents and skip the foundations. Just like with traditional automation, you first need to understand the real problem and the constraints before you can automate it successfully.

In this session, I’ll use a real-world Service Desk case study to show the four stages of AI evolution:
1. Simple prompting
2. Structured and repeatable workflows
3. Controlled agents to assist your workflows
4. Proactive agents which trigger autonomously
Each stage solves a different challenge. You’ll see how governance and data boundaries become more important as automation increases, and why higher levels of autonomy require stronger business cases to manage cost and risk. This step-by-step approach helps you avoid the common pitfalls that derail AI projects and ensures your workflows deliver real value.

Join this session to learn a practical, repeatable framework for transforming real processes with AI: one stage at a time, without skipping the parts that make it succeed.