Services
AI readiness assessment services
AI readiness assessment services are usually sold with no scope, no duration, and no price until you've sat through a sales call. Ours has all three, and they're on this page.
What the assessment is
We take one part of your operation and examine it directly: the systems, the data feeding them, the people running them, and the rules they run under. Not a questionnaire, not a workshop with sticky notes. Nick reads the actual integrations and data; Isaac sits with the teams who do the work. After 3–6 weeks you get a written document: where AI genuinely pays off in that operation, what will break first if you try, and what fixing it costs. Sometimes the recommendation is to build. Sometimes it's to buy. Sometimes it's to leave it alone.
This is also how every Tillerbridge engagement starts. Implementation and advisory only follow when the assessment has shown the work is worth doing, because neither of us should commit to a big project on a hunch.
How the weeks run
The first week is access and mapping: we get read access to the systems in scope and sit with the teams who run them. The middle weeks are the examination itself: data quality checked directly, integrations traced, the workflow documented as it actually runs rather than as the manual says it runs. The final week is the write-up and a working session with your leadership to walk through it. You see findings as we go; nothing is saved up for a reveal.
What it costs, and why the number is published
$20,000 to $80,000, fixed before we start; where in that range depends on scope: how many systems and teams we assess, company size, and regulatory exposure. Published market ranges for comparable boutique assessments run $15,000–$50,000, so we're in the band, not under it. We publish ours because most firms won't, and we think a company about to spend real money deserves the number before the meeting, not after it.
What it can and cannot tell you
There's fair skepticism about readiness assessments, and some of it is earned: plenty are thinly disguised sales funnels for whatever the firm sells next. So here is the honest boundary. An assessment cannot tell you that AI will work. It can tell you, with evidence from your own systems, which processes are automatable, where the failure points are, what the fix costs, and whether the return justifies it. We resell nothing and take no vendor commissions, so the recommendation has one reason behind it.
When not to buy one
If you haven't tried anything with AI yet, or you just want a first directional read, don't pay anyone. Work through our free AI readiness checklist with your own team; it's the same six dimensions we examine, self-scored, ungated. And if what you're missing is ongoing AI leadership rather than a point-in-time read, a fractional chief AI officer is the better-shaped engagement. If the question is where AI fits in the business at all, AI strategy consulting starts one step earlier.
We work with established companies, from a few hundred to tens of thousands of employees. The work is done by the senior people you'd meet on the first call, which is also why we take a limited number of these at a time.
Questions people ask
- How long does an AI readiness assessment take?
- Ours takes 3–6 weeks, fixed at the start. The length depends on how many systems and teams are in scope. Firms that quote "it depends" indefinitely are usually selling a discovery phase for a bigger project; ours ends with a document and no obligation.
- What does an AI readiness assessment cost?
- Our fixed-scope assessment is $20,000 to $80,000; where in that range depends on scope: how many systems and teams we assess, company size, and regulatory exposure. For context, published boutique ranges for AI readiness assessments run $15,000–$50,000. Most firms won't state a number until you're on a sales call, which is why we put ours on the page.
- What is an AI readiness audit?
- Mostly another name for the same engagement: an evidence-based examination of whether your data, systems, people, and governance can support AI in production. If your concern is specifically what could go wrong rather than what to build, our AI risk assessment is the sharper instrument.
- Can an assessment tell us whether AI will actually work for us?
- Not with certainty, and be wary of anyone who says otherwise. What it can tell you: which of your processes are genuinely automatable, what will break first if you try, what fixing that costs, and whether the numbers justify the attempt. Sometimes the honest recommendation is to not build anything, and we have no problem writing that down.
- What happens after the assessment?
- Whatever the recommendation supports. Some companies take the document and run it with their own teams; you own it either way. Where it makes sense, the next step is implementation or ongoing advisory, and that work only starts because the assessment showed it's worth doing. There's no obligation past the document.
Tell us about the work.
A few lines is enough. We read every enquiry ourselves and reply within one business day.