See where AI actually creates value in your company.
A lightweight, operator-led read on how ready your organization really is, what your people believe about AI, where adoption will stall, where leadership's assumptions are off, and the first workflows worth rebuilding. It's the fastest, lowest-risk way to see how we work.
A clear read on where your organization actually stands.
The diagnostic maps five signals, the ones that decide whether AI compounds inside your company or quietly stalls. Each is grounded in what your people say, not in a maturity-model checklist.
Employee AI sentiment
How your people actually feel about AI, curiosity, fear, quiet skepticism, surfaced honestly in their own words, not through a survey they game.
Resistance & friction
Where adoption will stall: the workflows people protect, the tools they distrust, and the political and cultural friction that quietly kills rollouts.
Adoption potential
Which teams and individuals are ready to run with AI now, and where a small nudge unlocks disproportionate output.
Leadership assumptions
Where the leadership team's view of AI readiness diverges from what's happening on the floor, the gaps that derail top-down mandates.
First workflows worth rebuilding
The specific, near-term workflows and services where AI creates real value rather than incremental efficiency, a prioritized starting point, not a wish list.
Lightweight to run. Honest by design.
The diagnostic is built to be low-friction for your team and high-signal for you. It's led by voice interviews, not a self-assessment survey, because the truth about AI readiness rarely survives a form.
Scope & align
A short working session with you to frame the questions that matter, agree who we talk to, and set what a useful answer looks like.
Week 1Voice interviews across the org
Short, candid voice conversations with people at every level, not a form. This is where the real signal lives: how work actually happens and how people feel about AI touching it.
Core of the readMap leadership assumptions
We capture how the leadership team sees readiness, then hold it against what the interviews reveal, surfacing the gaps that quietly derail top-down AI mandates.
AlongsideSynthesize the signal
We turn the interviews into a clear read: sentiment, resistance, adoption potential, and the assumptions worth revisiting, grounded in evidence, stated plainly.
AnalysisReadout & first workflows
A working readout with your team: what we found, where it lands, and a prioritized shortlist of the first workflows and services worth rebuilding with AI.
DeliverableA decision you can act on, not a slide deck.
You walk away knowing where AI creates real value in your company, where adoption will meet friction, and what to do first. It's the fastest way to see how we operate. We're deliberate about what we promise: the diagnostic is a rigorous read and a starting point, not a guarantee of outcomes we haven't yet earned at scale.
A readiness read
A clear, evidence-based picture of sentiment, resistance, and adoption potential across your organization.
The leadership gap
Where your team's assumptions about AI diverge from the reality on the floor, named specifically.
A prioritized shortlist
The first workflows and services worth rebuilding with AI, sequenced by value and feasibility.
A working readout
A live session with your leadership team to pressure-test the findings and agree what happens next.
Built for operator-CEOs who want the truth first.
This is for leaders running real companies with real teams, where AI has to earn its place against the work that already pays the bills. If you want a clear-eyed read before you commit budget and political capital, the diagnostic is the right first step.
Operator-CEOs of companies between $5M and $60M in revenue.
Leaders who want an edge from AI, not a pile of tools, and who value a straight read over a sales pitch.
You sense AI matters, adoption feels uneven, and you want to know where to place the first real bet.
AI-readiness diagnostic FAQ
What the diagnostic answers.
The practical questions leadership teams ask before choosing an AI starting point.
What is an AI-readiness diagnostic?
- Nasarai's AI-readiness diagnostic is an operator-led assessment of how prepared a company is to adopt AI in real operating work. It examines employee sentiment, resistance, leadership assumptions, adoption potential, and candidate workflows.
How does the diagnostic work?
- The diagnostic uses focused leadership input and voice-interview-led employee research to identify where AI adoption is likely to compound, where it may stall, and which workflows deserve attention first.
What does the diagnostic evaluate?
- It evaluates AI sentiment and resistance, the gap between leadership assumptions and operating reality, the organization's capacity for change, and the value and feasibility of early workflow opportunities.
Who is the diagnostic for?
- It is designed for operator-CEOs and leadership teams at companies with roughly $5 million to $60 million in revenue that know AI matters but need a disciplined starting point.
What comes after the diagnostic?
- The output is a prioritized read on the organization's readiness and the first workflows worth rebuilding. It can stand alone or become the starting point for hands-on operating and implementation work with Nasarai.
Book your AI-readiness diagnostic.
Tell us where to reach you and a little about your company. Elliot will follow up personally to scope the read and get it scheduled.