A documented executive thesis tied to enterprise strategy, with named accountability, not a delegation to IT.
If we removed every AI tool tomorrow, which three business outcomes would suffer first?
AI Readiness Diagnostic
A senior-led readiness assessment for asset managers, mid-market banks, insurers, and PE-backed financial firms. Ten dimensions. Five maturity levels. One executive conversation that surfaces where AI is actually getting stuck, and what to do about it in the next ninety days.
The Premise
Tool access is the easy lever. Absorption capacity, the culture, manager fluency, talent practices, workflow design, and operating model around the tools, is what separates firms whose AI investment compounds from firms where it disperses.
Licenses are not adoption. The firms with the highest AI license penetration are not the firms with the highest measurable AI value. We see the gap on every engagement.
Manager fluency is the throttle. Front-line managers who cannot coach AI use are the constraint on adoption, not employees, not infrastructure.
Workflow redesign beats workflow acceleration. Speeding up a broken process is a small win. Redesigning the work around the model is where compounding value sits.
Operating model decides the ceiling. If no business leader owns the outcome of AI, no amount of platform investment closes the gap.
What We Measure
The diagnostic is twenty questions across the ten dimensions below. We publish the dimensions, the signal we look for, and the executive question that surfaces it. The instrument itself (the full question set, rubric, and scoring math) is the proprietary part we run live with you.
A documented executive thesis tied to enterprise strategy, with named accountability, not a delegation to IT.
If we removed every AI tool tomorrow, which three business outcomes would suffer first?
Active permission to redesign work, not just to use tools as-is. Anchored in real workflows, not generic training.
When did someone last change how they worked because of AI, and was that change recognized?
Front-line managers who can coach, not just authorize. Manager fluency drives adoption more than user training does.
Could your managers, today, hold a credible one-on-one about how someone should be using AI?
A current view of which roles are most exposed to AI redesign over the next 18 months, with a plan tied to that view.
Which three roles will look most different two years from now, and what are you doing about that today?
Use cases framed around the workflow and the outcome, with the AI capability chosen second. Not tool-first.
Walk us through one workflow you would redesign first if AI were free and unlimited. Why that one?
A defensible data foundation with clear ownership and quality baselines for the domains AI actually needs.
If you built a high-value AI use case tomorrow, would the data exist, be accessible, and be trustworthy?
Right-sized governance: enough to defend, not so much that nothing ships. Tiered by risk, not blanket-applied.
How long does it take, end to end, for a new AI use case to get approved here? Is that the right answer?
Selective, role-aware deployment with adoption signals tied to real workflows, not licenses purchased.
Of the AI licenses you have purchased, what percentage are actively used each week, and by whom?
Use cases with named value owners and metrics that surface in the business reviews that actually matter.
Show us your most successful AI use case. Where does its value show up on a P&L or operating metric?
A named AI operating model (who decides, who builds, who runs, who governs) accepted across business and technology.
Who, by name, owns the business outcome of your most important AI initiative?
Where Firms Land
Most mid-size financial services firms we meet sit at Level II or Level III. Very few are at Level IV; almost none at Level V. The level itself is less interesting than the dimension-level pattern that produces it, which is why the readout we leave behind is dimensional, not a single number.
Note: we deliberately do not publish the score-to-level math, the per-question rubric, or the question set itself. Those are the parts of the instrument that produce a defensible result, and they belong inside the engagement. What we publish is the framework you can use to talk to your own leadership team about where you think you sit.
How It's Run
The diagnostic is the same instrument in each mode. What changes is the depth of evidence we collect alongside it. Most engagements start with a workshop and either stop there or convert into a paid readiness assessment with executive interviews and a formal readout.
Walk a leadership team through 5-8 questions live. The conversation itself surfaces the gaps and the disagreements, which are the most useful finding.
The full assessment with the leadership team in the room. Score together; the variance on scores is the alignment finding worth capturing.
The diagnostic as the baseline output of a paid readiness assessment. Includes interviews, the workshop, and the formal executive summary.
Scoring, Practically
Not from interviews compiled later. The conversation is the evidence; the variance across the table is the most useful data we collect.
Disagreement on a dimension is an alignment gap. Until that gap is closed, the higher scorer’s position is not the firm’s position.
A firm at Level IV overall but Level II on governance has a specific, addressable problem. The dimension-level shape is what gets written into the readout.
What You Walk Away With
Three pages or fewer, written in the language your board already speaks. Designed to be forwarded between executives, not reread by you alone.
One sentence the executive team can repeat in their next board update. Specific, defensible, and actionable.
The three things this organization is meaningfully ahead on, and the three places it is most exposed. Ranked by impact, with evidence.
A 10-dimension readout showing where the firm is consistent, where it is uneven, and where the executive team disagrees with itself.
Five named moves the executive team can make in the next month without a full transformation program.
The structural moves (Align, Prioritize, Operationalize) sequenced so each phase makes the next one easier.
Adoption is concentrated in two desks. Manager-level fluency is the binding constraint, not data, and not governance, though governance will become one inside six months if the use-case pipeline is not actively managed.
Get In Touch
Half a day, in the room with your executive team. We bring the instrument and the moderator; you bring the leaders whose disagreement actually matters. You leave with a readout your board will read.
Start the conversation →