Half day
Compact hands-on session for teams that want to get up to speed fast. Ideal as a deep-dive after a keynote.
Design, build and govern agents — from experiment to production.
Every organisation is experimenting with AI agents — but moving from demo to reliable production proves to be an enormous step. In this training we make that step: from agent architecture and tool-calling to evals, guardrails, monitoring and governance. Participants design and build agents for real tasks in your organisation, and learn how to govern agents once they run: what are they doing, what do they cost, and where do you intervene. Including the organisational part that is often underestimated: roles, responsibility and human oversight.
Response within 1 hour on workdays
Compact hands-on session for teams that want to get up to speed fast. Ideal as a deep-dive after a keynote.
Complete training with exercises on your own cases. Every participant leaves with working output.
Multiple sessions spread over weeks, with assignments in between and personal guidance.
We went from five loose agent experiments to one well-designed platform with two agents in production. The evals module was an eye-opener.
Both variants exist. For engineering teams we go deep into the technology; for management we focus on design principles, business cases and governance.
Depending on your stack: from Copilot Studio and custom agent frameworks to Claude, OpenAI and open-source options. We align during the intake.
With the two-day format we aim for a working agent in a controlled environment, with a clear path to production.

Tell us briefly about your event. Remy's team (PA Vivian Goudkuil) replies on his behalf as quickly as possible — usually within 1 hour on workdays — with a tailored proposal, availability and rate.
Remy's speaking schedule is fully booked; his team (PA Vivian Goudkuil) replies on his behalf as quickly as possible — usually within 1 hour on workdays, otherwise next workday before 10:00.