Builders, not consultants.

In the room: he names the elephant. For a decade his job was to sit in high-stakes leadership team situations and say what the room was not saying. He builds Challenger House because the pattern repeated everywhere: the system slows the very people it hired to move fast. His craft is making the unwritten explicit, so a team can build what it finds.

• 25 years of organisational development, facilitation and executive coaching.
• Inside the leadership systems of Microsoft, Telefónica, Sanofi and E.ON.
• Designed and led the E.ON Sprint, including the three-day Residency.

Will challenge you on treating AI as another tool rollout.

In the room: he takes the team through the process and makes it safe enough to go further than they planned. His work sits where the technology meets the people using it: what AI does to judgment and decision quality, and how a leadership team stays in charge of both. He developed the Plausibility Illusion framework and the cognitive-effects exercise that lets leaders feel how AI shifts their decisions before anyone explains why.

• 25 years in technology, from Yahoo! in Silicon Valley to Deutsche Telekom.
• Led Strategic Communications and the Think Tank for Telekom’s CTIO board member.
• Keynote speaker on AI and human-centred leadership; curates the DRANBLEIBEN newsletter and podcast.

Will challenge you when you use AI to do the old things faster and call it progress, when the plausible answer wins because it arrived first, and when nobody is asking who cleans up the polished output.

In the room: she builds. What the team designs, she makes work, and she makes sure it survives procurement, legal review and IT governance afterwards. She gets more out of the tools a client already owns than the client knew was there, and she brings the frontier tools in alongside them. She never worked inside a corporation, which is why she still asks the questions insiders stopped asking.

• Exited serial founder-operator.
• Ships AI in regulated environments: security, compliance, data governance.
• Runs autonomous agents daily on her own infrastructure.

Will challenge you to talk less, plan less, look at fewer slides, and get your hands dirty. Do it, do it together, learn fast.