AI Readiness Assessment
How exposed is your business to the AI it already runs?
In about 8 minutes, get a scored report card on your AI governance: policy, visibility, vendors, people, and what happens when something goes wrong.
24 questions · Six domains · Built on the NIST AI Risk Management Framework · Instant score
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Free AI Readiness Check
- 24 questions, about 8 minutes, built on the NIST AI Risk Management Framework
- Instant score on screen, with no login
- Full report emailed to you (email required for the report)
Price: Free
Take the Free AI Readiness Check →Go deeper
Hynds AI Readiness Assessment
- John personally reviews your Readiness Check results
- Interviews with your team
- Process mapping of the workflows that matter most
- Deliverables: a prioritized AI roadmap plus a NIST-aligned AI governance plan
Price: Contact for pricing
Book Your Readiness Assessment →Start free. If the score shows gaps, the paid assessment turns them into a plan.
You’re already using AI. Is anyone governing it?
AI rarely arrives as one big project. It shows up a piece at a time:
- Your CRM turns on AI lead scoring.
- Your ERP vendor adds a “predictive” module.
- An employee pastes customer details into a chatbot to write a proposal.
No one decided to adopt AI, but it’s running, and it’s touching your data, your customers, and your decisions.
The Free AI Readiness Check shows you where you stand, in plain language, before a vendor contract, a customer complaint, or a bad automated decision shows you the hard way.
Six domains, scored 0–100
The first four come from the NIST AI Risk Management Framework, the federal standard that regulators, procurement teams, and insurers increasingly reference. The last two are areas we’ve added because they’re where small and mid-sized businesses are most exposed.
NIST AI RMF
Govern
Does anyone own AI in your company? Is there a policy, and does leadership know what it says?
NIST AI RMF
Map
Do you know where AI is running, including inside the tools you already pay for, and what data it touches?
NIST AI RMF
Measure
Can you tell whether your AI is accurate, fair, and still performing the way it did when you started?
NIST AI RMF
Manage
When something goes wrong, is there a plan, an owner, and a way to shut it off?
Hynds AI extension
Vendors
Do you know what your software vendors’ AI is doing with your data, and what your contracts say about it?
Hynds AI extension
People & Culture
Do your people know how to use AI responsibly, spot a problem, and raise it?
How it works
01
Answer 24 questions
About 8 minutes, right here on this site. No login required.
02
Get your score instantly
A score for each domain, your strongest and weakest areas, and what each low score means in practice, on screen right away.
03
Get the full report
Enter your email to receive the full report, then keep it as your own checklist or talk it through with us.
What it looks like in practice
Illustrative examples, not real companies.
A small manufacturer
AI lead scoring in the CRM, a predictive inventory module the ERP vendor switched on, and salespeople using ChatGPT on customer specs. No policy and no inventory of what’s running.
Expect low Govern and Map scores.
An independent insurance agency
A carrier or vendor tool uses AI in quoting or underwriting. No one has asked how the model was trained, how it’s monitored, or what happens when its output is wrong.
Expect low Measure and Vendors scores.
A professional services firm
Staff use AI for drafting and research, client information included. No training, no guidance, no incident plan.
Expect low People & Culture and Manage scores.
Who it’s for
Owners and leaders of businesses doing roughly $5M–$100M in revenue that use AI anywhere in the business, knowingly or not. It’s especially useful for manufacturers and for regulated or trust-based industries like insurance, financial services, or healthcare, or if an OEM customer’s supplier questionnaire, an insurer, or an acquirer has started asking how you use AI.
A low score isn’t a failure. It’s a starting point.
Most businesses score low somewhere, because almost no one has been asked these questions before. Your weakest domains tell you exactly where to start.
If you want help with them, the next step is a conversation. If it makes sense from there, John Hynds will come out for an in-person assessment of how your business runs and where AI fits, governed properly.
Book Your Readiness Assessment →Frequently Asked Questions
Is the Free AI Readiness Check really free?
Yes. It runs on this site with no login, and your score shows on screen as soon as you finish. To receive the full report, enter your email address and we’ll send it to you.
Who is it for?
Owners and leaders of businesses doing roughly $5M–$100M in revenue that use AI anywhere in the business, knowingly or not. It’s especially useful for manufacturers and for regulated or trust-based industries like insurance, financial services, or healthcare, or if an OEM customer’s supplier questionnaire, an insurer, or an acquirer has started asking how you use AI.
How long does it take?
About 8 minutes for 24 questions.
Is this a NIST certification?
No. The Free AI Readiness Check is built on the structure of the NIST AI Risk Management Framework and extended with vendor and workforce domains. It’s a self-assessment, not an audit or a certification, and it isn’t endorsed by NIST.
Will I see how I compare to other companies?
Not yet. We’ll add industry comparisons once enough companies in each sector have taken it to make the comparison meaningful.
What happens to my answers?
Your answers are used in aggregate, for example to build industry comparisons. When you request the full report, your email address (and company name, if you give it) is stored with your score so we can send the report and follow up. Nothing is sold or shared.
We’re a small company. Does this apply to us?
Yes. A 10-person company with an AI chatbot on its website or AI features in its software has the same kinds of exposure as a larger one, often with less in place to manage it.
What does Hynds AI do with low scores?
We help you fix the ones that matter most: putting a practical AI policy in place, mapping what’s running, reviewing vendor terms, and building AI systems with controls designed in from the start.