What an AI project actually costs in 2026 (the real numbers)
May 24, 2026 - by Themba Mahlangu - 7 min read
Most AI quotes you'll get in 2026 are wrong in the same direction: too vague, too high, or both.
Vendors hide pricing for a reason. They want to find out what you'll spend before they tell you what it costs. That's a tax on you and a sign you're talking to the wrong people.
Here's how we actually price work — and the honest brackets for the rest of the market based on what we see founders sending us as second opinions every week.
The four buckets
Almost every AI engagement falls into one of these four. If a vendor is trying to sell you something that doesn't, ask why.
1. Discovery — figure out what to build.
2. Internal AI operations — automate one or more workflows your team already runs.
3. AI products / SaaS — build a customer-facing product with AI inside.
4. API productization — turn an internal workflow into a sellable API.
The price brackets below are 2026 market rates for serious work. Cheaper is available — it just doesn't ship.
1. Discovery
Market range: $5,000 – $25,000 for 1–3 weeks. What we charge: $5,000 for a 5–10 day Discovery. What you get: A SOW that says exactly what we'll build, in what order, on what timeline, and what it costs. Refundable if you don't love it.
If a vendor wants more than $25k just to write you a SOW, they're either selling you a slide deck or they don't actually know how to scope the build. Walk away.
If a vendor offers Discovery for free, that's worse. Free Discovery means the scope is going to grow during Build to make up for it. You're being upsold before you sign.
2. Internal AI operations
Market range: $15,000 – $80,000 for a first workflow live in production, plus $3,000 – $15,000 / month to operate. What we charge: Most first builds land in $15k – $40k. Ongoing operate is $5k – $15k / month. What you get: Real agents wired into your stack — Slack, email, your CRM, your data warehouse — doing real work. Standup digests, inbox triage, customer-signal pipelines, weekly reports, support deflection, whatever.
The savings from one of these usually pays back the build within 60 days. We've had clients save 15 hours / week / role within the first month.
Red flag: any quote that doesn't include an operate option. The agent will need to be maintained. If a vendor doesn't say how, they're either dumping the maintenance back on your team or expecting you to come back for emergency fixes at higher rates.
3. AI products and SaaS
Market range: $30,000 – $250,000+ for a first production version. What we charge: $15k – $50k for a first version live in 2–4 weeks. Bigger scope ships as multiple phases at the same per-phase rate. What you get: A production app — auth, payments, mail, file storage, AI features, admin tools — that you fully own. We don't write boilerplate. The expensive part is the part that's actually yours.
If you're being quoted $150k+ for a first version, ask what's in there. Often it's $50k of build plus $100k of "discovery, design, and project management" that should have been done for $5k. Make the vendor show their unit economics.
4. API productization
Market range: $20,000 – $120,000. What we charge: Usually $20k – $60k. What you get: A clean, sellable API around your existing workflow — auth, billing, docs, dashboards, the lot. Same playbook we used on Vanty.ai.
This is the highest-leverage thing most founders aren't doing. If you have an internal workflow that other people would pay for, packaging it as an API is often a faster path to revenue than building a whole new product.
The actual hourly math, since people ask
The honest hourly rate for senior AI engineering in 2026 is $200 – $400 / hour. Studios that ship fast charge at the top of that range and use AI agents internally to do 3–5x the work. Studios charging $100 / hour are subcontracting to junior offshore developers — fine for some things, not fine for production AI.
Fixed-price beats hourly every time when the vendor knows what they're doing. If they don't, fixed-price means they pad to protect themselves. Same total cost to you — they just hide it.
What "cheap" actually costs
We get called in to clean up failed AI builds roughly once a month. The pattern is identical:
- The original vendor quoted half the market rate.
- The original SOW was vague.
- The first version "worked" in a demo but fell over in production.
- Six months later, the client has spent the original budget twice and still doesn't have a shipped product.
The cheapest AI vendor in your inbox is almost always the most expensive choice you can make. The cost of a failed AI build is the money you spent plus the six months of opportunity cost plus the credibility hit with your team and your investors.
How to scope it yourself before you talk to anyone
Three questions to write down before you take a single call:
1. What's the one workflow or product you want shipped first? Not three. One.
2. What does "shipped" mean to you? Live with real users? Internal beta? Prototype? Be specific.
3. What's your timeline tolerance? If you can wait 6 months, you have different options than if you need it in 6 weeks.
If you can answer those, any decent vendor can give you a real bracket on the first call.
If you can't — that's exactly what Discovery is for.
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Want it scoped properly?
We do this every week. One Discovery slot per week. $5k. Refundable if you don't love the SOW.
You'll leave with a fixed-price SOW for your project — exactly what we'll build, on what timeline, and what it costs. No deck.