What AI Consulting Actually Costs in 2026 (With Our Real Prices)
AI consulting runs from about $75/hr for a freelance engineer to $1,000+/hr at the big strategy firms, and most vendors will not tell you their number until you are on a sales call. We do it differently: our prices are fixed and published below, starting at a $1,500 workflow audit and a working pilot from $7,500.
How much does an AI consultant cost in 2026?
An AI consultant costs between $75 and $1,000+ per hour in 2026, and where a firm sits in that range is driven almost entirely by brand and overhead, not by the quality of the engineering. Large strategy and consulting firms also rarely sell hours; their AI programmes commonly start at $500,000. Here is the honest market picture by tier:
| Provider tier | Typical hourly rate | Notes |
|---|---|---|
| MBB / strategy firms | $500 – $1,000+ /hr | Programmes commonly start at $500K |
| Big-4 consultancies | $300 – $600 /hr | Blended teams, senior sign-off, junior delivery |
| Mid-tier (Accenture-class) | $250 – $500 /hr | Systems-integrator scale and process |
| Boutique AI consultancy | $125 – $300 /hr | Specialist teams, mixed seniority |
| Freelance AI engineer | $75 – $150 /hr | One person, variable availability and depth |
| Fire In Belly (fixed price) | ~$90 – $130 /hr effective | One senior engineer plus the best AI models, fixed quotes, no hourly billing |
We do not actually bill by the hour. The blended figure in the last row is what our fixed prices work out to per hour of senior engineering time, shown so you can compare like for like. The rest of this page breaks the cost down by engagement type and then lays out our exact rate card.
Cost by engagement type
Hourly rates only tell part of the story, because AI consulting is usually sold as a packaged engagement. A lightweight proof of concept typically costs $15,000 to $30,000, while a full enterprise pilot can reach $300,000. Here is what the market charges by the shape of the work:
| Engagement | Typical market price | What it buys |
|---|---|---|
| Lightweight POC | $15,000 – $30,000 | A narrow proof that one idea works |
| Standard pilot | $50,000 – $100,000 | One workflow built and tested with real data |
| Enterprise pilot | $150,000 – $300,000 | Multi-team programme, heavy governance |
| AI automation agency retainer | $2,000 – $8,000 /mo (avg ~$3,200) | Ongoing builds and maintenance |
| Fractional Chief AI Officer | $2,500 – $15,000 /mo | Part-time senior strategy and oversight |
The spread inside each row is real. A "standard pilot" at $50,000 and one at $100,000 can deliver the same working software; the difference is often the number of people between the buyer and the engineer. That is the gap our model is built to close.
Our actual prices
Here is our full rate card, published in public, which is a rare thing: almost no AI vendor will show you real numbers before a sales conversation. Every stage is a fixed price agreed before work starts, and every stage is optional. You decide at each step whether to continue.
AI Workflow Audit
$1,500 fixed
1 week
A senior engineer maps your workflows and hands you a costed roadmap. The fee is credited toward a pilot if you continue.
Working Pilot
from $7,500 fixed
2 weeks
One workflow automated end to end and measured against one KPI. You see real software, not a slide deck.
Full Implementation
typically $15,000 – $40,000
scoped after pilot
A fixed quote after the pilot, so the total is known before you commit. No surprise invoices.
Ongoing Partner
from $2,000 /month
optional
Monitoring, iteration, and new automations once the first build is live and proven.
Across these engagements, the effective blended rate works out to roughly $90 to $130 per hour of senior engineering time. That is freelance-tier pricing for senior engineering, amplified by the best AI models, that ships production software, and it is the whole point of how we are structured. You can start with the $1,500 audit and stop there if the numbers do not justify a build.
Why we cost 3 to 5x less than the firms above
We cost 3 to 5x less than a Big-4 or mid-tier firm because our overhead is structurally lower, not because the work is lesser. It is the same class of engineering, delivered with almost none of the cost that a large firm has to recover from your invoice. Here is exactly where the difference comes from:
A senior engineer does the work
The person who scopes your project is the person who writes the code. Nothing is handed down to a junior team learning on your budget.
No project-manager layer
There is no coordinator billing hours to relay messages between you and the engineers. You talk to the builders directly.
No sales organisation
We do not carry a team of account executives whose commissions have to be recovered from your project price.
No junior analysts
Large firms staff pyramids: a few seniors on top, many juniors underneath, all billed to you. We are just the seniors.
No brand premium
You are not paying extra for a logo on the invoice that a board recognises. You are paying for working software.
Tallinn cost base
We operate from Tallinn, Estonia, where our cost of doing business is lower than a US or UK firm's, and we pass that through in the price.
To be clear, we are not claiming the big firms overcharge or that their engineers are worse. For a global rollout across dozens of business units with heavy governance, that scale is worth paying for. For automating one workflow well, most of what their price covers is overhead you do not need. If you are weighing this against building an internal team, we wrote a full breakdown at AI consultant vs in-house.
What drives AI consulting cost up or down
Five factors move the price of an AI project more than anything else. Understanding them helps you scope a build you can actually afford, and helps you read anyone's quote more critically.
Scope
One clearly-defined workflow is cheap to automate. Automating your whole operation is not a scope, it is a programme, and the price reflects that. Narrowing scope is the single biggest lever on cost, which is why we push you to start with one workflow.
Data readiness
If your data is already digitised, structured, and accessible, the build is fast. If it lives in PDFs, scanned documents, or people's heads, most of the budget goes to getting it usable before any AI touches it.
Integrations
Reading and writing to systems that have clean APIs is straightforward. Old software with no API, or tools that need screen-scraping and brittle workarounds, adds real engineering time and cost.
Compliance
Regulated data (health, finance, personal data under GDPR) requires extra controls, audit trails, and review. This is legitimate cost, not padding, and it is worth knowing about before you scope.
On-prem vs API models
Using a hosted model API (OpenAI, Anthropic) is the cheapest path for most projects. Running models on your own infrastructure, for data-residency or privacy reasons, raises both build cost and ongoing running cost substantially.
How much does it cost to automate a business workflow with AI?
Automating a single, well-scoped business workflow with AI typically costs $7,500 to $40,000 with us, end to end, versus $50,000 to $150,000 or more at a typical agency. The range depends on the five cost drivers above, above all how ready your data is and how many systems the automation has to touch.
The way to find your real number without guessing is the pilot. For a fixed $7,500 we build one workflow end to end and measure it against a KPI you care about, such as hours saved per week or error rate. If it works, we quote the full implementation as a fixed price, usually in the $15,000 to $40,000 band. If it does not clear the bar, you have spent $7,500 to learn that instead of $80,000.
Common examples are automating a repetitive back-office workflow or building an internal tool that wraps an AI model around your own data. You can see a real one we shipped at i18n-agent.
When you should NOT hire an AI consultant
In several common situations you should not hire us, or anyone, because the cheaper option genuinely solves your problem. We would rather say so now than take your money for work you did not need.
A no-code recipe covers it
If a Zapier or n8n automation already does the job, use it. Connecting two apps to move data on a trigger does not need custom AI engineering, and paying for consulting would be pure waste.
Off-the-shelf SaaS exists
If a mature product already does exactly what you want, buy it. A custom build only makes sense when no existing tool fits, or when the workflow is core enough to your business to own.
Your data is not digitised
If the information the AI would need still lives on paper or in people's heads, fix that first. AI cannot automate a process whose inputs it cannot read, and a consultant charging to build around missing data is selling you a problem.
The $1,500 audit is designed to catch exactly these cases. If the honest answer is that a $20/month tool solves your problem, the audit will say so, and that is a good outcome for you.
Frequently asked questions
Is a cheap AI consultant lower quality?
Not necessarily, and price alone tells you almost nothing. A $1,000/hr rate at a strategy firm pays for brand, a sales organisation, and layers of analysts and project managers, not for better engineers. A low rate can signal offshore junior labour, or it can signal a small senior team with low overhead. The real quality signals are who actually writes the code, whether they show you working software early, and whether prices are fixed or open-ended. Ask to speak to the person who will do the build, not the person selling it.
Do you work with small businesses?
Yes. A large share of our work is small and mid-sized businesses automating one painful workflow at a time. The $1,500 audit and the $7,500 pilot exist precisely so a smaller company can find out whether AI is worth it without committing to a six-figure programme. If your budget is genuinely below that, we will tell you honestly whether an off-the-shelf tool would serve you better.
What is a realistic budget for a first AI project?
For a first, well-scoped project, budget $7,500 to $40,000 with us end to end: a $1,500 audit, then a pilot from $7,500, then a fixed implementation quote usually between $15,000 and $40,000. At a typical agency the same first project often runs $50,000 to $150,000. If someone quotes you a first AI project at $250,000 or more, that is a full enterprise programme, and you should ask hard questions about whether you need that scope to prove value.
How long does an AI project take?
The audit takes one week. A working pilot takes about two weeks. A full implementation is usually four to twelve weeks depending on integrations and data readiness. We deliberately keep the first two stages short so you see real, measured results within a month instead of paying for a multi-quarter engagement before anything ships.
Do prices include software and API costs?
No, and be wary of anyone who bundles them silently. Our fees cover engineering time. Third-party costs like model API usage (OpenAI, Anthropic), hosting, and any SaaS licences are passed through at cost and estimated up front in the audit. For most single-workflow automations, ongoing model and hosting costs run tens to a few hundred dollars a month, not thousands, and we size them for you before you commit.
Why do you publish prices when almost no one else does?
Because hiding prices is a negotiating tactic, not a service to you. Most consultancies quote per-client so they can charge what they think you will pay. We publish a fixed rate card because it saves everyone time and keeps us honest: the audit is $1,500 whether you are a two-person startup or a listed company.
What if the audit says AI is not worth it for us?
Then we tell you, and that is the end of the spend. The audit exists to answer the question honestly, including when the answer is no. We would rather lose a pilot than sell you an automation that costs more than it saves. See the section above on when you should not hire an AI consultant at all.
Know your real number before you spend a cent on a build
Start with the $1,500 audit. One week, a costed roadmap, and an honest answer about whether AI is worth it for you. If it is not, we will tell you that too.