Buying guide · · 5 min read · Lurto · Updated
What a paid AI opportunity audit buys you, and when to skip it

Quick answer
A paid AI opportunity audit is a short, fixed-scope engagement producing four things: a workflow map showing how work actually travels through the business, a ranked list of opportunities with the arithmetic shown next to each build quote, a 30/60/90 day sequence, and fixed prices in dollars rather than estimates in hours. Published fees ran $999 to $7,500 in the US and £495 to £3,500 in the UK in August 2026. The fair version credits the whole fee against a build started within 90 days. We do not sell one: our first step is a free consultation that ends in a written proposal with a fixed price. If the deliverable is a slide deck about AI trends, you bought a brochure.
Every AI agency sells some version of an audit now. Discovery sprint, roadmap engagement, opportunity assessment, free consultation. The prices run from nothing to $25,000 for what sounds like the same thing, and when we went through 20 agency sites in August 2026 the ones that published a figure for it ranged from $999 to $7,500 in the US and £495 to £3,500 in the UK. The rest of that survey, builds and retainers included, is in what 20 agency price lists charge in 2026. Before you pay any of them, including us, it helps to know what the document should contain and what a bad one looks like.
What an AI opportunity audit contains
An audit is a short, fixed-scope engagement in which someone maps how your business runs today and writes down where automation would pay off and where it would not. If the deliverable is a slide deck about AI trends, you bought a brochure.
The version we sell has four parts.
- A workflow map. This is a different document from the org chart. It shows the path work travels: how a lead becomes an invoice, how a support email becomes a closed ticket, who touches what, where things sit waiting. Most owners have never seen this on paper, and more than one has told us the map alone was worth the fee.
- Ranked opportunities with the math shown. A task that happens 40 times a week and takes 15 minutes costs you 10 hours of someone's time. At $30 an hour that is $15,600 a year, and that figure sits next to the build quote so the two can be compared. Usually there are three to five of these. Sometimes there is one. Once there were none, which we will come back to.
- A 30/60/90 day sequence. What to build first, what depends on what, and what to leave alone for now. The first project either earns your team's trust in automation or spends it.
- Fixed quotes. A price in dollars. An estimate in hours is a way of declining to commit, and someone who has studied your operation for two weeks has no excuse for it. The reasons fixed price beats hourly on automation work apply to the audit's output as much as to the build.
When a free consultation is enough
For a business of ten to fifty people, two weeks of paid analysis is usually more ceremony than the problem needs. The owner or an operations lead can describe how a lead becomes an invoice in half an hour, and someone who has built these systems before can see which steps are worth automating while they listen. That is why our own first step is a free consultation rather than a paid audit.
What separates a useful free consultation from a sales call is what you receive afterwards. Ask for three things in writing: which workflows are worth automating and which are not, a fixed price and a date for each build, and a plain statement when automation will not pay back. If what arrives is a range, an hourly estimate or a proposal only its author could execute, the call was the pitch. The same reasoning runs through why we publish prices instead of quoting on a call.
A paid audit earns its fee in larger operations: many systems, several teams, and nobody who can describe the whole flow of work in one conversation. There the workflow map below is real work, and paying for it keeps the analysis independent of whoever builds.
How the credit works
The fair version takes the whole fee off a build started within 90 days. Read the mechanic carefully wherever you meet it, because it changes the arithmetic. Build with that agency inside the window and the audit cost you nothing net. Build with someone else and you paid the fee for the map and the quotes, which you are free to shop around. Build nothing and you paid the fee to find that out, which in our opinion is the cheapest of the three outcomes if the alternative was a build that never pays back.
That last case has happened once. A company came to us with the usual pain, we mapped the workflows, and the volumes were simply too low. Nothing on the list would have paid for itself within a year. We put that in the report, they kept the report, and as far as we know they have built nothing since, which was the right call.
Watch for imitations of the credit: a partial credit, or one that expires in 14 days, or one that only applies to the most expensive tier. Those are coupons.
Before you pay anyone
Whether you buy from us or a competitor, get four things on paper first.
- The deliverables, named. Map, ranked list with the math, sequence, quotes. "Strategic recommendations" is how an audit fee turns into a phone call and a PDF of generalities.
- A timeline. Two to three weeks is normal. An audit that takes two months is a consulting engagement wearing an audit costume, and the meter is running.
- Confirmation that the document belongs to you whatever you decide afterward, including hiring someone else or doing nothing. An agency that hesitates on this point is selling a sales process.
- The credit terms, if any.
One caveat. Most businesses that ask about AI do not need an audit yet. If you have one obvious, repetitive workflow and you already know roughly what it costs you, skip the audit and get a fixed quote for that single build. Audits are for owners who suspect there is money on the table and cannot say where.
That is also how we start. Instead of a paid audit, a free 30-minute consultation: you explain how the work runs today, and within two business days you get a written proposal with a fixed price, or a plain answer that automation will not pay back. If something is already broken, the written diagnostic, from $500, is the way in.
Questions people ask about this
Is a free consultation enough, or do I need a paid audit?
For most businesses under about 50 staff, a free consultation is enough: in 30 minutes an owner can describe how the work runs, and an experienced builder can see where automation pays. What matters is what comes after it. Ask for a written proposal with a fixed price that you are free to take to anyone. A paid multi-week audit earns its fee when there are many systems, several teams and nobody who can describe the whole operation in one conversation.
What does paying for the audit actually buy?
The right to hear that two of your workflows are not worth touching, and that a third should be done with an off-the-shelf tool. The agency was paid for the thinking and can afford to say so. It also produces a document you own outright: hand it to another agency or an in-house hire and they can build from it. Free audit reports tend to be written so that only their author can execute them, and that is by design.
How does the credit against the build work?
The fair version takes the whole fee off a build started within 90 days. Build with that agency inside the window and the audit cost nothing net; build with someone else and you paid for a map and quotes you are free to shop around; build nothing and you paid to find that out, which is the cheapest of the three outcomes if the alternative was a build that never pays back. Watch for imitations: partial credit, a 14-day expiry, or credit that only applies to the top tier. Those are coupons.
Do we actually need an audit?
Most businesses that ask about AI do not need one yet. If you have one obvious, repetitive workflow and you already know roughly what it costs you, skip the audit and get a fixed quote for that single build. Audits are for owners who suspect there is money on the table and cannot say where.
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