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Should your company start AI now?

An expert answer you can defend to the board.

Where AI creates value in your business, what’s missing to capture it, and whether to start now — in writing, with the reasoning. Even when the honest answer is “not yet.”

The output
One verdict for the company — Proceed → Not Recommended, in writing
Engagement
from $20,000 · from 3 weeks
Scope and price fixed in a one-page proposal
Access
Descriptions, not data.
No access to your network, databases or code required.

The questions it answers

Business

Where will AI create measurable value?

Which processes should be automated first?

Which projects carry the biggest potential business effect?

Readiness

How ready is the company to adopt AI?

Which competencies are missing?

Who will own the AI program?

Constraints

What do your data, infrastructure, security requirements and organization actually allow?

Which constraints shape what can be built first?

Risks

What are the main barriers?

What are the risks of waiting — and the risks of starting too early?

The final questionShould you start now — and what are the risks of not starting?

What you get

01

Executive Summary · 5–10 pages

A concise verdict for the CEO, CIO and the board: main findings, key risks, main opportunities, the recommended adoption path, the cost of inaction, expected business impact.

02

AI Readiness Profile

An expert grade across six dimensions: Business, Data, Infrastructure, Security & Compliance, Organization & Skills, Technology.

Took the free AI Readiness Score? That was the self-reported preview — here the six dimensions are graded by experts, on evidence.

03

AI Opportunity Map

Prioritized AI opportunities — high-level use cases with expected business impact, including 3–5 Quick Wins: cheap, fast, measurable.

No roadmap — deliberately. The assessment decides whether to launch the program, not how to run it. Planning before that decision is guessing with dates.

The verdict

One verdict — for the company as a whole. One of five grades, with the reasoning behind it. (Which initiatives to run, and in what order, is a separate decision — that’s the AI Adoption Program.)

ProceedThe value and the readiness are there; start.
Proceed with PrerequisitesStart after closing specific gaps.
Proceed with PilotThe case is promising but unproven; start narrow.
PostponeThe risks of starting now outweigh the risks of waiting.
Not RecommendedAI won’t pay off here yet; we say so plainly.

“Postpone” and “Not Recommended” are real outcomes, not decorations. An honest “not now” is the cheapest result this assessment can produce.

How it runs

Phase 1Discovery Workshop · 2–4 days

Interviews of 60–90 minutes across both business and IT — this is not a technical audit. The owners of key business processes sit in the same round as the CIO/CTO and Head of Infrastructure, plus the AI Program Manager if there is one and the CISO where relevant. On the table: why the company is looking at AI, which business problems need solving, what has already been tried, what the constraints are, and what would count as success.

Phase 2Information Collection · from 2 weeks

You provide descriptions of your environment — not the data itself:

Business — current business and strategic priorities (the reference point AI value is assessed against), key processes, org structure (high-level), department KPIs, pain points
IT landscape — main systems (ERP, CRM, ECM, WMS, MES, BI), clouds, virtualization, data platforms, existing AI tools
Data landscape — where data lives, types, rough volumes, storage requirements, access constraints
Security & compliance — internal policies, regulatory requirements, data classification if any
Existing documentation — optional: architecture diagrams, application inventory, AI or digital-transformation strategy

The descriptions are cross-checked in the interviews — inconsistencies get probed, not passed through into the verdict.

DeliveryOne package, presented to your leadership

Executive SummaryAI Readiness ProfileAI Opportunity MapExecutive Decision
No access to your corporate network, databases, source code or commercial data is required.

Who does the work

A senior team that deploys AI in enterprise companies — infrastructure, data platforms and production AI systems. The people in your workshop are the people who write the verdict: assessed by people who deploy AI, not just advise. We’ll introduce the exact team on the scoping call.

What’s behind the price

The assessment is priced from $20,000 — visible on purpose. What stands behind it:

Senior experts only. The team above — no junior bench with a template.
Weeks of expert work across the whole surface. Business priorities, six readiness dimensions, constraints and risks — assessed together, because the answer lives in the intersections.
Board-grade output. Documents written to be put in front of the CEO and the board and survive questions — not a slide export.
Priced against the alternative. A wrong start costs multiples: six months of your best people, a failed pilot, and the credibility of the next attempt. The assessment exists so that mistake is never made blind.
What moves the price is the size of the organizational perimeter — how many business processes, systems and interviews are in scope. Fixed in the one-page proposal.

If the scale of your AI decision doesn’t justify a $20,000 diagnosis, start with the free AI Readiness Score → — that’s what it’s for.

The assessment answers “Should we start?”
The program answers “How do we transform?”

If the verdict is Proceed, the AI Adoption Program picks up exactly where the assessment stops: it takes the verdict, the readiness gaps and the opportunity map — and turns them into a prioritized transformation program: what to transform, in what order, with what team and budget. If it’s Postpone — you know exactly what to close and when to come back.

About the AI Adoption Program →

Ready for the verdict?

Start with a 30-minute scoping call — or go straight to a one-page proposal: scope, timeline and price. From $20,000, from three weeks.

Frequently asked questions

Do we have to share confidential data?

No. The assessment runs on descriptions of your environment, not the data itself. No access to your corporate network, databases, source code or commercial data is required. Everything you do share is covered by an NDA.

Who from our side needs to participate?

The CIO/CTO, Head of Infrastructure, the owners of the key business processes, plus the AI Program Manager and CISO where relevant. The load: one 60–90 minute interview each, and assembling the environment descriptions in Phase 2.

How long does it take?

The Discovery Workshop takes 2–4 days; information collection and analysis run from two weeks — typically three to four weeks end-to-end. The exact timeline is fixed in the one-page proposal before work starts.

What size of company is this for?

Companies where an AI program would be a real investment — mid-market and larger. If a $20,000 diagnosis is out of proportion to the decision you’re facing, start with the free AI Readiness Score.

What happens after the assessment?

You decide. If the verdict is Proceed, the AI Adoption Program turns it into a plan and execution. If it’s Postpone, you know what to close and when to return. The assessment stands on its own — no obligation to continue.

You sell the next step — isn’t the verdict biased toward Proceed?

That’s why the scale has Postpone and Not Recommended — and we ship them. Prerequisites never oblige you to buy the program from us. The verdict has to be defensible in front of your board, not ours.