The Decision Experiment
Dr. Lisa Palmer's flagship keynote
Same AI. Different People. Different Results.
You own the decision.
Your AI assistant cut resolution time 40%. Legal just found 3% of its responses make commitments you can't honor.
Quarter ends in three weeks.
Make the call.
Cheap to make.
Expensive to decide.
AI made producing work cheap. It made decisions expensive.
Every organization can buy the same AI — the same models, platforms, and tools. What they can't buy is how well their people decide with it.
Why judgment matters now
As AI floods organizations with ideas, options, and prototypes, decisions once reserved for seasoned leaders are landing on every desk. Deciding what good looks like, where to invest, which process to change, which partner to trust — every employee now needs decision skills once reserved for executives. The bottleneck has moved from ‘can you create it?’ to ‘can you tell whether it's good?’
What happens live
Your audience doesn't hear about this problem. They experience it. Within the first five minutes, every person in the room makes a real AI business decision from their phone. The results appear instantly on screen — and the room watches itself split on identical facts. Later, after a shared decision lens, they vote again and watch their own judgment become visible, discussable, and manageable. No two audiences produce the same result, because the audience is the experiment.
What your audience leaves with
You just experienced the five-minute version. Here's what your audience takes from the full keynote:
A shared language for how people approach AI decisions — four instincts your leaders will recognize in themselves and each other.
A practical method: make judgment visible, nudge the system, measure what moves.
An introduction to AI Adoption Engineering — the discipline behind this experience.
Ideal audiences
Leadership meetings, customer conferences, executive summits, sales kickoffs, and partner events where the room holds the people whose decisions carry your AI investment.
Beyond the stage
Wondering how your own leadership team would split?
That question is where our advisory work starts. The Decision Experiment is the five-minute version of what Neurocollective does inside organizations: we measure how your leaders actually approach AI decisions, make the differences visible, and build the shared judgment that turns AI investment into results.
Proof
Dr. Lisa Palmer has watched enterprise AI from every chair: buyer (technology executive and CIO), seller (enterprise leadership at Microsoft and Splunk), advisor (Gartner VP serving hundreds of CIOs; board director), and researcher (doctorate in AI in enterprise environments).
She led 36 global bank CIOs through AI planning in Basel, Switzerland, sponsored by the CIO of the US Federal Reserve.
Author of Show AI—Don't Tell It (Wiley, 2026).
Built on behavioral data from 500+ enterprise leaders.
For event planners
Program copy, ready to paste
Describing The Decision Experiment to your team or your attendees? Use this.
The Decision Experiment — Dr. Lisa Palmer's flagship keynote In the first five minutes, this room will divide. Every person in your audience gets the same AI decision — same facts, same stakes, same three weeks until quarter-end — and makes the call from their phone. Then the screen lights up, and the room watches itself split four ways. Nobody's wrong. That's the point. Because everyone can buy the same AI — what they can't buy is what this room is about to see: the invisible judgment that determines who turns AI investment into measurable value and who struggles to. Dr. Lisa Palmer — former CIO, Gartner VP, Wiley author, and the advisor who led 36 global bank CIOs through AI planning in Basel — reveals what the split means, gives the room a shared decision lens, and then does the thing no one forgets: the audience votes again, live — and sees itself clearly for the first time. Your audience won't watch this keynote. They'll be in it — and they'll be talking about where they landed long after the lights come up. Same AI. Different People. Different Results.