How to choose an AI readiness assessment provider (and what to pay)
Hiring someone to assess your team is a strange purchase: you are paying for a judgement, and the people selling it also sell the work it recommends. That conflict is workable as long as you know it is there, and it makes the questions you ask before signing matter more than usual. Here is what to ask, what an assessment costs going into 2027, which answers should end the conversation, and when to skip the provider entirely.
Part of the AI for event planners playbook
First, decide whether you need one
If you already know which task takes up most of your team's time, you do not need an assessment. Go fix that task. Assessments earn their place in two situations: your work is spread across many workflows and the team cannot agree which to tackle first, or you need a defensible number to get time and budget from someone above you.
If neither is true, a provider will sell you a diagnosis for a problem you have already diagnosed. Run the free assessment instead and keep the money. The AI readiness assessment guide covers what a good one measures if you want to run the whole thing yourself, and when to hire an AI consultant walks through the signs that outside help is worth paying for.
The questions to ask before you sign
- What exactly do I get at the end? Push for the artefact. "A roadmap" means nothing. "A ranked list of your workflows with a score and an hours estimate against each" means something.
- Who do you talk to? An assessment that only interviews the leader measures what the leader believes. The difference between what a manager thinks the team's week looks like and what the team reports is usually the most useful thing in the whole exercise.
- How long, and what happens during it? Ask what the weeks are spent on. If most of the calendar is analysis rather than waiting on responses, ask what is being analysed.
- What have you scored before that looks like us? Logos tell you little. Ask for a workflow they assessed at a team of your size and what the recommendation was.
- What would make you tell us not to hire you? A provider who cannot answer this has never turned work down, which tells you what the assessment will conclude.
- Where do our answers go? If the provider runs survey responses through an AI tool to sort and score them, ask which tool and which plan. Personal ChatGPT accounts can use conversations for training unless the user switches it off, and Claude's Free, Pro and Max plans leave that choice to each user. ChatGPT Business and Enterprise do not train on inputs by default. Your team's candid answers about their week belong on a business plan.
What an AI readiness assessment costs
Most providers do not publish a price, which makes the first quote you receive hard to judge. This is what was on the open web when I updated this guide in October 2026.
- Free self-assessments: $0. Cisco runs a free AI Readiness Index assessment tool, and the free assessment on this site scores event workflows. You get a band and a vocabulary, and you do the ranking yourself.
- Fixed-fee audits from small firms: the low thousands. The small firms that do publish a number tend to quote a fixed fee; one I found lists $3,500 to $8,500 for a two-to-four-week audit on a fixed scope.
- Large consultancies: rarely a published price. Expect a scoping call before you see a number, and a scope written for organisations with their own data teams.
A ten-person team should not be shopping in the third tier. The methodology was built for a different kind of organisation, and most of the cost is scope you will not use.
What drives the price
- How many people get surveyed: the single biggest driver, and the one most worth paying for. An assessment that only interviews the leader is cheaper and measures less.
- Whether hours are estimated per workflow: turning a score into a business case takes real analysis, and it is the part that makes the output usable.
- Live time with the buyer: calls cost more than async work. Some of that is worth it and some is theatre, so ask what each session is for.
- Whether a build is included: an assessment that ends with something working is a different product from one that ends with a document.
- Brand: part of a big-firm price is the name on the cover, which has value if the report has to survive a board meeting.
Duration and page count should not move the number. A multi-month readiness study before a single workflow improves is selling calendar time, and a sixty-page report is usually a twelve-page report with an industry overview bolted on the front.
Answers that should end the conversation
Some responses are a reliable signal to walk. A proposal where the assessment runs for months before anything improves is selling duration. A methodology built on maturity quadrants and industry benchmarks is selling market research; your team's position on someone's grid does not tell you what to do on Monday.
Be careful too with anyone who scores you on infrastructure you do not own. A small team assessed on model governance and data platform maturity will score badly on things it was never going to buy, and the recommendation that follows will be to buy them.
The conflict of interest, handled honestly
Almost every provider who assesses you also sells implementation. That is not automatically bad; the people who understand your workflows best after an assessment are the ones who just studied them. It becomes a problem when the assessment cannot produce any conclusion other than "hire us for phase two".
The test is whether the deliverable is useful if you never speak to them again. Ask directly: if we take this report and do the work in-house, is it complete enough to act on? A provider who hesitates is selling a lead magnet. I run assessments and I also sell the build, so treat that as disclosure rather than neutrality.
What good looks like
It surveys the team, not just the leader
The distance between what leadership estimates and what the team reports is where the real finding usually sits.
It scores your workflows by name
You should see your own run of show, your own budget process and your own survey analysis in the output, in place of a generic list of business functions.
It puts hours against each one
Hours are what turn a score into a business case. Without them you cannot argue for the time to act.
It names a first build
The week after the assessment should look different from the week before. If the report ends at insight, it ended early.
It tells you what not to automate
An assessment that finds every workflow suitable did not assess anything. Some tasks should stay human, and a good provider says which.
A generalist or an event specialist?
Most assessment providers are built for IT and operations teams at large companies, and their question banks show it: data infrastructure and model governance come first. An event team's hours sit somewhere else, in run of show, sponsor decks, attendee comms and post-event reporting. A generalist can still help, but you will spend the first week translating your work into their framework. A provider who has run event workflows scores them by name from the first call. That is what I built the Team AI Readiness Audit for, and the AI readiness assessment guide covers the five event workflows worth scoring.
When paying is worth it
Pay when you need hours attached to each workflow to make a case to whoever controls budget, when you want an outside read because teams soften their own answers on the questions that matter most, or when you want the work to end with something built. If none of those apply, the free version plus an honest afternoon will get you most of the way. The rollout that comes after is in AI adoption for event teams.
Frequently asked questions
- How do I choose an AI readiness assessment provider?
- Ask what artefact you get at the end, who they interview, and what they have scored for a team your size. Then ask what would make them tell you not to hire them. Choose the provider whose deliverable would still be useful if you never spoke to them again.
- How much does an AI readiness assessment cost?
- Free self-assessment tools cost nothing and give you a band and a vocabulary. Small firms that publish prices tend to quote a fixed fee in the low thousands; one published range in October 2026 was $3,500 to $8,500 for a two-to-four-week audit. Large consultancies rarely publish a price and scope for organisations with their own data teams.
- What drives the price of an AI readiness assessment?
- Mostly how many people get surveyed, whether hours are estimated per workflow, how much live call time is included, and whether a build is part of the deliverable. Duration and page count raise the price without improving the output.
- Do I need an AI readiness assessment provider at all?
- Only in two cases: your work spans many workflows and the team cannot agree which to fix first, or you need a defensible number to secure time and budget. If you already know which task is costing you the most hours, skip the assessment and go fix it.
- Is it a problem that assessment providers also sell implementation?
- On its own, no, since the people who just studied your workflows understand them best. It is a problem when the assessment cannot reach any conclusion other than hiring them for the next phase. Test it by asking whether the report is complete enough to act on in-house.
- What are the warning signs in an assessment proposal?
- A multi-month timeline before anything improves, a methodology built on maturity quadrants and industry benchmarks, and scoring a small team on enterprise infrastructure it does not own. Each one points to a recommendation to buy more rather than to change how the work runs.
Want to see how I run one?
The Team AI Readiness Audit surveys the whole team, scores your named workflows, and ends with an hours estimate and a first build.
See the audit