The assessment looks at your organization from the outside. This is the half that looks out from the inside, and it is measured rather than assumed.
Half of any strategy rests on what an organization is genuinely good at and where it is exposed. In most AI strategy work that half is one person's answer typed into a form, while the external half carries full evidence discipline. The Leadership Lens closes that gap.
Ask one executive what the organization is good at and you get one executive's view, stated with the confidence of fact and carried through every downstream recommendation. Nothing marks it as a single opinion, and nothing shows whether the rest of the leadership team would say the same.
That matters most where it is least visible. A strategy built on a strength only one person believes in is a strategy with an unmarked hole in it.
Eighteen questions, about ten minutes. Each member of the leadership team gets their own link. There is no login and no account to create, and answers save as they go, so it can be done on a phone between meetings.
The questions cover readiness across six maturity dimensions, data, technology, capabilities, governance, culture and strategy, plus ambition, beliefs about the competitive picture, priorities and concerns. Two of them ask the team to allocate 100 points: once across where AI should be applied first, and once across what is actually holding the organization back. Forcing a total is deliberate. It converts a wish list into a ranking, and rankings are where teams turn out to disagree.
Two open questions ask for strengths and weaknesses in the respondent's own words. Those are the hardest to answer honestly and the most valuable when they are.
This is the part that makes the reading worth having. Averaging a leadership team's scores hides the finding. Two teams can average identically while one agrees completely and the other is split down the middle, and those two organizations need entirely different first moves.
So alignment is calculated on how far apart the answers are. A team that all rate data readiness low is aligned: they have a shared, accurate view of a real weakness, and they can act on it tomorrow. A team split between “we are fine” and “we are nowhere” is not aligned, and no amount of roadmap fixes that until the disagreement is resolved.
The reading comes back as Aligned, Mixed or Fragmented, with the subjects your team sees least alike ranked worst first.
It never publishes a score, and it never moves the assessment's scores. What your team believes is reported as what your team believes, with the disagreement left visible rather than averaged into a number that hides it.
Below three completed responses there is no alignment reading. You get the written answers on their own, and we say so rather than drawing a conclusion from too few people.
Three is a sample-size rule, not a policy preference: two answers have almost no spread to measure, and reporting a team as aligned on that basis would be arithmetic dressed up as a finding.
The AI Disruption Snapshot researches your position from public evidence. The Lens asks the people running the organization. Read together, the useful part is where the two disagree: the strengths your team is confident about that the evidence does not support, and the exposure the evidence shows that nobody inside has named.
A completed round carries into the strategy work that follows: the strengths and weaknesses your team named are offered there to confirm, edit or discard, so the moves are built on both halves rather than on research alone. How the assessment itself works.
The Leadership Lens is a capability inside an engagement rather than something bought on its own. Partner firms run it with their clients; organizations assessing themselves can run it on their own leadership team.