Find out if your firm is ready to operate AI — not just try it.
A free three-minute assessment for professional firms. Score your firm across five pillars of AI readiness and get a straight operator’s read on the workflows worth putting a supervised AI Team on first.
What is an AI readiness assessment?
An AI readiness assessment is a structured check of whether your business can safely and usefully put AI to work. It looks past the model at the things that actually decide whether AI sticks: how work moves through your firm, whether sensitive work is governed, whether your people would operate it, and who owns it after launch.
Most assessments hand you a generic grade. This one ends somewhere useful: the two or three workflows in a firm like yours where AI earns its keep, and an honest read on whether you can run them yourself. Start with the work, not the model.
The five pillars of AI readiness
Readiness isn’t one number. It’s five separate questions, and most firms are strong on some and exposed on others. Here’s what the assessment measures and why each one decides whether AI holds.
- 01
Integration drag
How much of the day do people spend moving information between systems?
The hidden manual work — copying, checking, chasing, retyping between tools that were never connected. The more glue your people are, the more a supervised AI Team has to earn.
- 02
Document surface
How much work runs through documents, and how much of it is drafting from a known pattern?
Repeatable drafting from a known pattern is where AI prepares well and a human approves fast. It is the natural place to start.
- 03
Governance & data safety
Has AI already entered the firm, and is sensitive work flowing through unmanaged tools?
AI is usually already loose in a firm before anyone decided it should be. Whether confidential work sits behind an approval gate is the difference between an operating model and an exposure.
- 04
People & adoption
If you put an AI Team on a real workflow, how would your people take it?
Tools do not change a firm. People operating them do. A workflow your staff would resist is a workflow that fails quietly, no matter how good the model is.
- 05
Ownership
Who inside the firm would own operating it after launch?
The gap where most AI projects die. Without a named owner who has real time to run it, even a good pilot stalls the week the consultant leaves.
Three minutes to an operating-model read
Pick your firm type
Law, accounting, engineering, and the rest each have different workflows worth operating first. It shapes your result and carries no score.
Answer nine questions
Three minutes. Plain questions about how work actually moves through your firm today, not a quiz on AI trivia.
Get an operator’s read
A score across the five pillars, the tier you land in, and the two or three workflows where a supervised AI Team earns its keep. We email a copy so it’s not lost in a tab.
Three tiers, one honest answer
Your score across the five pillars lands you in one of three tiers. The point isn’t the number. It’s knowing whether the operator’s move is to contain, to start one workflow, or to operate at scale.
Score 17 or below
Exposed
AI may already be in your firm without rules. The first move is containment and a clear operating model, not a firm-wide rollout.
Score 18–28
Ready for one
You have real manual glue and enough process to do this safely. Put a supervised AI Team on one workflow, keep a human approving everything that leaves, and prove one measurable outcome before you scale.
Score 29 and up
Ready for managed
You have the workflows, the governance instinct, and an owner. You’re ready to operate AI as a managed system across more than one workflow.
Built for professional firms of 10–50
Owners, partners, managing partners, COOs, ops leads, and the practical tech champion inside a firm of roughly 10 to 50 people. Not “businesses.” You. It’s the thinking behind our approach to AI consulting for small businesses, and the assessment tunes its result to your kind of firm:
AI readiness assessment FAQ
What is an AI readiness assessment?
An AI readiness assessment is a structured check of whether your business can safely and usefully put AI to work — looking at your workflows, your data governance, your people, and who would own AI after it launches. A good assessment tells you which specific workflows to start with, not just a generic score.
What are the five pillars of AI readiness?
In our framework: integration drag (how much manual glue your people are), document surface (repeatable drafting work), governance and data safety (whether sensitive work sits behind approval gates), people and adoption (whether staff would operate it), and ownership (who runs it after launch). Most firms are strong on some pillars and exposed on others.
How long does the assessment take?
About three minutes. It’s nine questions plus a firm-type selector. You get your result immediately on screen, and a copy by email.
Is the AI readiness assessment free?
Yes. The self-assessment is free and gives you a straight read on where AI belongs in your firm. If you’re a high-fit firm, a real operator follows up personally — there’s no sales sequence to sit through.
How do I choose an AI readiness assessment provider?
Look for an assessment that ends in named workflows and an operating model, not a vendor pitch. The useful ones tell you when you can run AI yourself, weigh governance and ownership as heavily as technology, and are built by people who operate AI, not only advise on it.
Who is the assessment for?
Owners, partners, managing partners, COOs, ops leads, and the practical tech champion inside a professional firm of roughly 10–50 people. It’s written for a person making the call, not for “businesses” in the abstract.
See where AI belongs in your firm.
Three minutes, no sales sequence. You’ll leave knowing the first workflow worth operating — and whether you can run it yourself.
Proof over promises: the Operator’s Log publishes real numbers from running supervised AI Teams across five ventures. What shipped, what it cost, what we had to fix.