¶ Guide
What AI consulting costs.
For a small business.
Published rates, the four pricing models and what each one tells you about the seller, cost by workflow type, and a method for working out your own payback before you sign anything. Written by someone who charges for this work, with his own prices on the page.
Jake Pereira, M.Sc. Economics & Finance · Published August 8, 2026
Key takeaways
- Most small-business AI work lands between $2,000 and $75,000 per project, and multi-workflow pilots run higher. Below $2,000 you are buying advice, not a build.
- Four pricing models exist — hourly, fixed project, monthly retainer, and fractional AI lead. Which one you are quoted tells you more about the seller than the price does.
- Cost tracks workflow complexity, not company size. A single support-triage automation costs roughly the same for a 6-person firm as a 60-person one.
- Payback is the number that matters, not price. Recovered hours divided into the fee, in weeks.
- Deloitte surveyed 3,235 leaders and found 37% are using AI with little or no change to existing processes. That is the real risk — not overpaying, but paying for something that changes nothing.
- Payback depends on whether you keep paying. Running costs are $50–$400/month; an optional support retainer is $1,000–$8,000/month. The second one can triple your payback period, and it is the number sellers leave out.
Where the money goes
What you are actually
paying for.
Every AI consulting engagement is some mix of four things. Knowing which phase a quote is heavy on tells you what you are buying, and whether the price is reasonable for it.
- 01
Discovery and readiness
$0 – $12,000
Somebody maps how you actually work now and finds where AI fits. Cheap end: a free audit call, which is genuinely common and genuinely useful. Expensive end: a formal readiness assessment with a prioritised workflow list. If you are paying five figures for this phase and walking away with a slide deck, you have bought a deck.
- 02
Strategy and scoping
often bundled
Deciding which workflows to automate, in what order, with which tools. On a small engagement this should be folded into discovery or the build. It is billed separately mostly by firms whose business model is strategy rather than delivery.
- 03
Build and integration
$8,000 – $75,000
The actual work: connecting systems, writing the automations, handling auth, testing the failure paths. This is where the money goes and where the cost variance lives. Integration with an old system nobody documented costs more than the AI part.
- 04a
Running costs
$50 – $400 / month
What it costs to keep the thing switched on: model and API usage, the automation platform, any vendor seats. Small, unavoidable, and the number most proposals forget to mention. This is the figure to subtract when you model payback.
- 04b
Ongoing support retainer
$1,000 – $8,000 / month · optional
A different thing entirely, and genuinely optional. This buys somebody to fix it when an API changes, a vendor deprecates a model, or an edge case arrives that nobody predicted. You can also own that yourself — take the handover documentation and handle it in-house. Do not let anyone present a support retainer as if it were the running cost.
How AI consulting is priced
Four pricing models,
and what each one tells you.
The model you are quoted is a signal about the seller’s business, not just a billing preference. Read it that way.
| Model | Typical range | Good for | Wrong for | What it signals |
|---|---|---|---|---|
| Hourly | $100 – $600 / hr | Small, well-defined tasks. Advisory. Second opinions. | Open-ended builds. You carry all the overrun risk. | A seller who only bills hourly may not be confident scoping outcomes. |
| Fixed project | $2,500 – $95,000 | A defined build with a defined deliverable. Most SMB work. | Work where the requirements genuinely cannot be known yet. | The healthiest default for small business. Risk sits with the builder. |
| Monthly retainer | $1,000 – $8,000 / mo | Ongoing iteration, maintenance, a standing advisor. | A first engagement. You are paying for access before proof. | Watch for retainers with no deliverable attached. That is a subscription. |
| Fractional AI lead | $2,000 – $8,000 / mo | You need a decision-maker, not a builder. 8–20 hrs/month. | You need something built. This buys judgement, not hands. | Increasingly common. Genuinely useful, frequently mis-sold as delivery. |
2026 rate ranges
What AI consultants
charge, by type.
Aggregated from rates published openly by AI consulting practices during 2026, plus our own. Sources are listed at the foot of this page. Ranges, not quotes — nobody can price your build without seeing your systems.
| Who you hire | Hourly | Typical project | The trade |
|---|---|---|---|
| Freelance AI developer | $100 – $200 | $5,000 – $30,000 | Fast and cheap. You are the project manager. |
| Solo specialist / founder-delivered | $150 – $300 | $2,500 – $40,000 | One person, senior, no handoff. Capacity is the limit. |
| Boutique firm (5–20 people) | $150 – $300 | $15,000 – $75,000 | Depth and redundancy. You may not meet who builds it. |
| Enterprise consultancy | $300 – $600 | $100,000+ | Governance, procurement, scale. Rarely right for an SMB. |
Context worth holding onto: in McKinsey’s State of AI global survey, 88% of respondents said their organisation uses AI in at least one business function, up from 78% a year earlier. That is a self-report from a survey panel rather than a census, but the direction is not in dispute: adoption is no longer the differentiator. What you do with it is — which is exactly why the cheapest engagement is not automatically the best value and the most expensive is not automatically safe.
Cost by workflow
What specific automations
cost to build.
More useful than a company-size table, because cost tracks the workflow, not your headcount. Payback columns are planning estimates, not promises.
| Workflow | Typical build cost | Modelled payback |
|---|---|---|
| Lead intake, qualification, CRM update | $8,000 – $25,000 | 1 – 3 months |
| Customer support triage and draft replies | $10,000 – $28,000 | 2 – 4 months |
| Phone answering and appointment booking | $8,000 – $20,000 | 1 – 3 months |
| Document extraction (invoices, contracts, forms) | $15,000 – $35,000 | 2 – 5 months |
| AI assistant answering from your own documents | $7,500 – $30,000 | 3 – 6 months |
| Multi-workflow pilot (3 workflows + integration) | $45,000 – $95,000 | 4 – 8 months |
Cost drivers
What moves your
number up or down.
If you want a cheaper engagement, these are the levers. Four of them are yours to pull before you even start talking to anyone.
↑ raises cost
Legacy systems with no API
The single biggest multiplier. Scraping a screen instead of calling an endpoint can double a build.
↑ raises cost
Regulated data
Health records, financial data, anything with a retention rule. Compliance work is real work.
↑ raises cost
Nobody owns the process internally
If no one can describe how the task is done today, discovery becomes archaeology.
↑ raises cost
Human-in-the-loop approval steps
Every approval gate is an interface, a notification path, and a failure mode.
↓ lowers cost
The workflow is already documented
A written SOP can remove a week of discovery.
↓ lowers cost
Modern tools with real APIs
A stack built in the last five years is dramatically cheaper to automate.
↓ lowers cost
You start with one workflow
Scope discipline is the cheapest cost control that exists.
↓ lowers cost
You accept 80% automation
Chasing the last 20% of edge cases often costs more than the first 80%.
Do the math yourself
How to model
your own payback.
Five steps. Do this before you take any proposal seriously, including ours — it is the fastest way to tell a real quote from an expensive one.
- 01
Count the hours, honestly
Not the hours you think the task takes. The hours it actually takes, including the context-switching and the re-checking. Ask the person who does it.
- 02
Use loaded cost, not salary
Salary divided by 2,080 understates it. Add payroll tax, benefits, software, and the overhead that person carries. For most SMB roles the loaded figure lands 25–40% above base.
- 03
Assume partial automation
Almost nothing goes to zero. 60–80% absorption is a realistic planning assumption for a first build. If someone models 100%, discount their whole proposal.
- 04
Divide the fee by the weekly saving
That gives you payback in weeks. Under 12 weeks is strong. Twelve to 26 is normal. Past a year, ask what else that money could do.
- 05
Subtract the running cost — and the retainer separately
A build that saves $400 a week and costs $300 a month in tools and API usage is saving $331 a week, not $400 ($300 × 12 ÷ 52 = $69). Most proposals skip this. Then, if you are also paying an ongoing support retainer at $1,000 to $8,000 a month, run the number a second time with that included — it changes the answer dramatically, and it is the step that separates a real payback estimate from a sales one.
Worked example
Two people spend six hours a week each on manual lead follow-up. Loaded cost $45 an hour. An automation realistically absorbs 70% of it. That is 2 × 6 × $45 × 0.70 = $378 a week gross, or about $19,650 a year.
Now run step 5 properly, because the answer changes a lot depending on what you keep paying for:
- Running costs only ($150/mo in tools and API = $35/wk): net $343/wk, so a $2,500 build pays back in just over 7 weeks.
- Plus a $1,000/mo support retainer ($231/wk): net $113/wk, and payback stretches to about 22 weeks.
Same build, same savings, and a payback period three times longer — decided entirely by whether you retain ongoing support or take the handover and run it yourself. Anyone quoting you a payback figure who has not told you which of those two they assumed has not given you a number.
Illustrative model, not a guarantee · substitute your own inputs
The build-versus-buy question
Consultant, agency,
in-house, or yourself.
Hiring a consultant is one of five options and it is not always the right one. The honest version, including the cases where you should not hire me.
| Option | Cost | Time | Right when | The real risk |
|---|---|---|---|---|
| Do it yourself | $0 – $200 / mo in tools | Weeks of your time | One task, no integrations, and you have the hours. | The hours are never free. Founder time is the most expensive line on the page, and it is the one nobody costs. |
| Freelance developer | $5,000 – $30,000 | 2 – 8 weeks | You can write the spec yourself and just need hands. | You are the project manager, the QA, and the person who notices in month three that it stopped running. |
| Solo consultant | $2,500 – $40,000 | 2 – 10 weeks | You need the judgement and the build from one person. | Capacity and continuity. One person has a calendar and can get ill. Ask what happens if they disappear. |
| Agency or boutique firm | $15,000 – $75,000 | 6 – 16 weeks | Multiple parallel workstreams, or you need redundancy. | Whoever sold it is rarely who builds it. Ask to meet the builder before signing, not after. |
| Hire in-house | $90,000 – $160,000 / yr | 3 – 6 months to hire | AI is core to the product, not a back-office fix. | Only rational above a certain volume of ongoing work. For three workflows it is dramatically more expensive. |
The line that matters: hiring in-house only becomes rational when the ongoing volume of AI work justifies a salary. For a business automating three workflows, a $2,500 to $30,000 project is not a cheaper version of a $120,000 hire — it is a different purchase entirely, and the hire is usually the wrong one.
Before you sign
Red flags when hiring
an AI consultant.
Two of these are things I have been guilty of myself early on, which is how I know they matter.
- A fixed price quoted before anyone has looked at your systems. The integration is the cost; nobody can price it blind.
- A guaranteed ROI figure. Nobody who has not measured your baseline can promise you a return, and the ones who do are selling on hope.
- No mention of what happens when it breaks. Silent failure is the most common way automations cost more than they save.
- Deliverables that are all documents. A strategy, a roadmap, a framework — and nothing running.
- A retainer with no attached deliverable, proposed before any build exists.
- Vagueness about who does the work. On a small engagement, "our team" often means a junior you will never meet.
- Tool-first answers. If the recommendation is identical before and after they hear your problem, it was never about your problem.
Use these verbatim
Seven questions to ask
before you hire anyone.
Including on a call with me. The last two are the ones that separate a builder from a seller.
- 01Which specific workflow would you automate first, and why that one?
- 02What percentage of that task do you expect to absorb, and what stays manual?
- 03Who physically does the build, and will I speak to them?
- 04What happens in month four when something upstream changes?
- 05Show me something you built that did not work, and what you learned.
- 06What does handover look like — do I own the system, the credentials, and the documentation?
- 07What would make you tell me not to do this?
Frequently asked
AI consulting cost
questions.
- How much does AI consulting cost for a small business in 2026?
- Most small-business projects land between $2,000 and $75,000, with the bulk of genuinely useful single-workflow builds falling between $8,000 and $30,000. Hourly rates run $100 to $600 depending on who you hire. Monthly retainers for ongoing work run $1,000 to $8,000. Anything under about $2,000 is advisory rather than a build, which can still be the right purchase — just know which one you are making.
- Why do quotes for the same project vary so much?
- Three reasons, in order of size. First, integration difficulty: connecting a modern tool with a real API is a fraction of the cost of working around a legacy system that has none. Second, who is doing the work — a solo senior operator and a four-person agency team carry very different overheads. Third, scope honesty: a low quote often excludes the failure handling, the edge cases, and the maintenance, which arrive later as change requests.
- Is a cheaper consultant a false economy?
- Not automatically. A freelance developer at $120 an hour who builds exactly the one thing you specified can be excellent value if you know precisely what you want. The false economy is buying cheap when you cannot specify the work, because then you are paying for execution while still needing the judgement, and you will pay twice.
- What should I expect to pay for just an assessment?
- Zero to about $12,000, and the zero end is common and legitimate — plenty of practices run a free audit call because it is also their sales process. A paid readiness assessment makes sense when you need something defensible to show a board or a lender. It rarely makes sense as a first purchase for a ten-person business.
- How long until an AI automation pays for itself?
- On the workflow types small businesses actually automate, published payback estimates cluster between one and eight months, with lead intake and phone handling at the fast end and multi-workflow pilots at the slow end. Model it yourself rather than trusting a range: weekly hours saved, times loaded hourly cost, times the share the automation realistically absorbs, divided into the fee. Then subtract monthly maintenance.
- Should I hire a fractional AI lead instead?
- If your problem is deciding what to do, yes — $2,000 to $8,000 a month for 8 to 20 hours of senior judgement is often better value than a build you have not yet justified. If your problem is that something needs building, a fractional lead is the wrong purchase. The model gets mis-sold as delivery capacity fairly often.
- Does company size change the price?
- Less than people expect. Cost tracks workflow complexity and integration difficulty, not headcount. Automating support triage for a six-person firm and a sixty-person firm involves broadly similar work; what changes is the volume of data flowing through it and, sometimes, the compliance surface.
- What is the most common way this money gets wasted?
- Automating the wrong thing first — usually the task that is most annoying rather than the one that is most repeated. The second most common is building something that fails silently, because a workflow that quietly stops working is worse than one that never existed: you keep trusting it. Deloitte’s State of AI in the Enterprise 2026 report (3,235 leaders, fielded August–September 2025) found 37% of organisations are using AI with little or no change to existing processes, which is a polite way of describing spend that produced nothing.
- Can I just do this myself with ChatGPT?
- For a single task, frequently yes, and a consultant worth hiring will tell you so. Where it stops working is anything that must run unattended, touch more than one system, or fail safely when something upstream changes. That gap is the thing worth paying for. If the honest description of your situation is "I have not sat down and learned the tools yet," start there and save the money.
- Do I need an AI consultant who knows my industry?
- Usually not, with one real exception. The workflows small businesses automate — intake, triage, follow-up, document handling, reporting — are structurally similar across industries. The exception is regulated data: health records, financial data, legal privilege. There, industry knowledge is not a nice-to-have, because it determines what is permissible to automate at all.
- What should be in the contract?
- A named deliverable rather than a named activity, a defined scope with an explicit list of what is excluded, ownership of the built system and its credentials, documentation as a deliverable rather than a favour, and a stated position on what happens when something breaks after handover. If maintenance is not addressed, that is not an oversight.
- What does SABS charge?
- Starter from $2,500, Growth from $7,500, Premium from $20,000, and one workflow built free before any of them. Those are starting points; final scope is set on a 30-minute call. The full breakdown of what each package includes is on the AI Consulting page.
Sources
Last checked August 8, 2026
- McKinsey, The State of AI: Global Survey — 88% of respondents report AI use in at least one business function, up from 78% a year earlier.
- Deloitte, State of AI in the Enterprise 2026 — 3,235 leaders across 24 countries, fielded August–September 2025. 37% report little or no change to existing processes; 66% report productivity or efficiency gains.
- Rate and workflow ranges are aggregated from pricing published openly during 2026 by Layer3 Labs, The AI Consulting Network and AI Adoption Agency, cross-checked against our own quoted engagements. Where published ranges disagreed, the wider range is shown.
- Payback columns are modelled from those cost ranges, not measured outcomes. They are planning estimates and should be recalculated with your own inputs.
Our side of it
Starter from $2,500.
One workflow built free.
If you want this scoped for your business rather than estimated from a table, the AI Consulting packages page has the full breakdown of what Starter, Growth and Premium each include. Before any of them, I will build one workflow for you free — you keep it either way.