Case Study · Technology / AI · Paris, France
A tailored SuperCollaboration™ keynote that moved 55 strategic partner managers and senior leaders from using AI for email and document review to using it on purpose — for the high-judgement work at the heart of their role.
At a Glance
| Detail | Information |
|---|---|
| Client | One of the world's largest technology companies — and one of the most AI-forward organisations in the world |
| Industry | Technology / AI |
| Event | EMEA Partner Team Offsite |
| Event Type | Tailored keynote |
| Audience | 55 strategic partner managers and senior leaders from across EMEA |
| Location | Paris, France |
| Challenge | A team that already used AI every day, but mainly for email and document review — rarely for the high-judgement work at the heart of their role. The brief: no tool tutorials, no generic productivity tips, no AI-and-jobs clichés. |
| Solution | Tailored keynote: "SuperCollaboration™: Cyborgs, Centaurs and the Rise of Human+AI Collaboration" |
| Outcome | The team left with a shared language for both AI hesitation and over-reliance, plus practical tools for mapping stakeholders before a pitch and clearing space for the relationship work only they can do. Team feedback was strong. |
The Challenge
One of the world's largest technology companies brought its strategic partner managers from across EMEA, together with senior leadership, to a team offsite in Paris. These 55 attendees manage the company's most important partner relationships — work built on complex negotiation, influence without direct authority, and connecting partners with the right people and products inside a large, siloed organisation.
This was a team that already used AI every day, inside one of the most AI-forward organisations in the world. But they used it mainly for email and document review — rarely for the high-judgement work at the heart of their role.
The organisers wanted a shift in mindset: a session that raised ambition and changed behaviour. The brief was clear about what to leave out — no tool tutorials, no generic productivity tips, no AI-and-jobs clichés.
What is the Competency Penalty in AI adoption?
The Competency Penalty describes why capable people hold back from using AI: research shows identical work is rated lower when reviewers believe AI was involved. Professionals protect their reputation by keeping AI to low-judgement tasks — which means the work where AI could add the most value is often where it is used least.
Bespoke by Design
An audience inside one of the world's most AI-forward companies doesn't need to be told AI matters. It needs to see where it is under-using AI — and where it might be leaning on it too much.
James's research with the organisers and the partner manager team uncovered exactly that gap, and the keynote was refined with the organisers until it fitted the brief.
Learn about the Taylor-Made Process →Calls with the event organisers and a member of the partner manager team revealed that even highly capable people were using AI mostly for low-judgement tasks.
A full walkthrough of the keynote with the organisers, refined on their feedback.
When organisers raised concerns about the quality risks of over-reliance on AI, James added new material on cognitive atrophy.
No tool tutorials, no generic productivity tips, no AI-and-jobs clichés — every section focused on mindset and behaviour.
The Delivery
The keynote opened with Nobel Prize winners, who tend to cross boundaries between disciplines, and applied the idea to the team's role as the connective tissue of their company. It then examined why capable people hold back from AI — and what happens when they lean on it too far:
Research showing identical work is rated lower when reviewers believe AI was involved — the hidden reason capable people hold back.
Research from surgeons to an MIT brain-imaging study showing the cost of leaning on AI too far.
James's answer to both problems: use AI on purpose, not on autopilot.
The session closed on practical ground — AI prediction engines that simulate synthetic stakeholders as digital twins, a modern companion to force field analysis; the Three Lists exercise to remove, reduce or simplify work; and a closing story about climbing a Scottish mountain.
Frameworks & Tools Delivered
A way to use AI on purpose, not on autopilot — choosing deliberately how human judgement and AI work together on high-stakes partner work.
Explore →The Competency Penalty and cognitive atrophy research gave the team words for both failure modes — holding back from AI, and leaning on it too far.
Explore →Simulating synthetic stakeholders as digital twins — a modern companion to force field analysis for mapping stakeholders before a pitch.
Explore →Remove, reduce or simplify work — clearing space for the relationship work only partner managers can do.
Explore →The Results
Strategic Partner Managers and Senior Leaders Equipped to Use AI on Purpose
James Taylor's keynote for one of the world's largest technology companies shows that even the most AI-forward teams can under-use AI where it matters most. By pairing Competency Penalty research with new material on cognitive atrophy, and answering both with the Centaur / Cyborg Model, the session gave 55 EMEA partner managers a shared language for AI hesitation and over-reliance — plus practical tools for the high-judgement work at the heart of their role.
"James was absolutely phenomenal! He was so easy to work with, very collaborative, was responding quickly to emails and he really listened and understood the brief and provided an amazing session for us. Our team provided great feedback about James and we would certainly consider working with him again in a future event."— Event Owner and Senior Partner Manager, Global Technology Company
About the Speaker
James Taylor MBA FRSA is one of the world's leading keynote speakers on creativity, innovation, and Human+AI collaboration — with over 3,000 keynotes delivered across 50 countries. His SuperCollaboration™ framework has been delivered to team offsites, Fortune 500 leadership summits and global technology conferences, including audiences who already use AI every day. A Fellow of the Royal Society of Arts and author of SuperCreativity, James specialises in shifting how capable people work with AI — not teaching them which buttons to press.
James specialises in bespoke AI keynotes for technology companies and high-performing teams — from regional offsites to global leadership meetings. His preparation process ensures every story, framework and example is built for your team, not borrowed from someone else's.
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