The Problem
Most AI investment can’t be proven. So it gets cut.
You bought the tools. You ran the trainings. Leadership still asks the same question. What did we actually get for it?
The honest answer is that most companies have no way to measure AI capability. They track license counts and usage logs (aka tokenmaxxing). Neither tells you whether your team makes better decisions with AI in hand. The ROI gap isn’t a tech problem. It’s a behavior problem, and behavior was never measured.
When capability isn’t measured, adoption can’t be defended. And what can’t be defended gets defunded.
What It Is
A baseline, a target, and proof you moved between them.
The AI Capability Index reads your team across individual readiness and team capability, then scores the pillars that actually predict whether AI adoption holds. It is grounded in neuroscience, built on Dr. Nicole Gravagna’s research into how people make decisions under pressure. That is the same research that explains why most AI rollouts fail.
We map where AI is working, where it isn’t, and where capability and ambition are furthest apart. No assumptions. Only personalized outputs your leadership can act on.
Six pillars behind every score
Pillar
What it scores
Fluency
Can people use AI tools well, not just open them
Judgment
Do they know what to build, what to kill, what to trust
Decision rights
Is it clear who owns what across the workflow
Workflow integration
Is AI in the real work, or sitting beside it
Adoption durability
Does usage hold under pressure, or revert to the old way
Governance
Are policies followed because they were built with the team
The Difference
Most agencies hand you a system. We train your team to run one.
And provide measurement that proves it.
WHY THIS ISN'T A SURVEY
Surveys measure opinion. The Index measures capability.
A survey asks people how confident they feel. Confidence is not capability, and feelings don’t survive a budget review. The Index is built on Dr. Nicole Gravagna’s research on decision-making under pressure, because under pressure the brain defaults to the familiar. That is exactly where AI adoption breaks, and exactly what we measure.
A survey
Measures opinion
Asks how confident people feel. Confidence isn’t capability — and feelings don’t survive a budget review.
The Index
Measures capability
Built on Dr. Nicole Gravagna’s research on decision-making under pressure — exactly where AI adoption breaks.
We don’t score how people feel about AI. We score whether they reach for it before they reach for the old way.
PROOF
Built by operators, backed by neuroscience.
Travis Tallent spent 15 years inside the organizations most companies benchmark against — Microsoft, LEGO, adidas, Capital One, and Aspen Snowmass. Dr. Nicole Gravagna, PhD, neuroscientist and Founding Advisor, built the decision-science the Index runs on. No agency can claim this pairing.
Operator
Travis Tallent
Fifteen years running the operations AI is supposed to change — not studying them from the outside.
Neuroscience
Dr. Nicole Gravagna, PhD
Neuroscientist and Founding Advisor. Built the decision-science the Index runs on, grounded in how people behave under pressure.
Nicole knows how to lead change within an organization to drive meaningful business impact
— Jerry, Director, Lockheed Martin
Operators trained inside
Microsoft
LEGO
adidas
Capital One
Aspen Snowmass
+70%
Average re-score improvement within two quarters.
Who It’s For
A number, not a narrative.
CEOs
Promised AI transformation before — and want a number, not a narrative.
COOs
Need cross-functional capability they can track.
CMOs
Need to show the team compounds in skill, not subscriptions.
