How much does an AI automation agency cost? How Kaishift prices a project

Because a price list would be wrong for most of the people reading it. “An automation project” can mean a small site where a visitor books a car wash in one WhatsApp message, as we built for Lavage Askjour. It can also mean the web presence, internal systems and back office of a franchise network growing across Morocco and France, as with ConciergElite.

A fixed list fails in one of two directions. Set the price for the small job and the large one gets squeezed: testing, security review or documentation quietly disappear to fit the number, and you find out after launch. Set it for the large job and the small client pays for work they never needed. Published packages usually dodge this by narrowing what each one covers and billing the rest as extras.

What we do instead: a free 30-minute call, then within 72 hours a written proposal with one price for one defined scope, and a free demo running on one of your real tasks.

Six inputs, roughly in order of how much they move the number.

Connections are usually the hidden cost. Wiring an agent into the five tools your team already uses, with the right permissions, and keeping those links alive when a vendor changes an export format, often takes longer than building the agent. Count your systems before asking for a quote.

Data quality decides whether the AI works at all. An agent reading a CRM full of duplicates gives confident wrong answers. A quote that skips cleaning is only cheaper on paper.

Model usage is paid by you, on your own keys. The provider bills you directly, so we design our AI agents for that bill: a small model for sorting, a larger one only where judgment is needed, and a spending limit on the key.

Compliance is scope, not a checkbox. A patient journey for a medical tourism company handles health data; a booking page for horse rides does not, and the first needs stricter access rules and logging. Ihab Ait El Caid, our CISO, reviews what we ship before it goes live, more deeply as the data gets more sensitive. See our security approach.

Public data covers software projects in general, much less AI automation. Clutch's software development pricing guide (2026), built from verified client reviews, says custom software projects reviewed on the platform typically cost $10,000 to $49,999, while the average is $132,480. Most firms listed there charge between $25 and $49 an hour, and the usual project runs about 13 months.

Two lessons for anyone estimating custom software development cost. First, the typical project and the average project are far apart: a few very large engagements drag the average up, so the average says little about your project. Second, an hourly rate says nothing about how many hours a team will need.

For AI agents specifically, we found no independent survey of project prices, only vendor blog posts with ranges that contradict each other, so we give no figure. What is documented is the failure rate. Gartner expects more than 40% of agentic AI projects to be cancelled by the end of 2027, citing escalating costs and unclear business value (Reuters, 2025). That is the real cost risk: an agent nobody uses is the most expensive line in any budget.

The model changes how you pay more than how much.

The cost of outsourcing software development is not only the invoice. It is also the time your team spends explaining, answering questions and testing. A fixed project concentrates that time at the start; an embedded AI engineer spreads it over months.

Our decision rule: if you are unsure, start with a fixed project, and move to an embedded engineer once the list of work is real. Paying monthly for a list that runs out after six weeks is the mistake we talk people out of.

It contains everything you need to say yes or no without another meeting.

1. Scope. What will be built, in your own terms, and a list of what is explicitly out.
2. Price. One number for that scope, a price per phase for multi-track work, or a monthly fee for an embedded engineer.
3. Timeline. Milestones, each with something you can see working.
4. What runs where. Every component and the account it lives on: your cloud, your repositories, your API keys. Self-hosted parts are named and stay open source.
5. The demo. A working version on one of your real tasks, so you judge the work and not a slide deck.

The proposal and the demo are yours to keep, with no commitment. If a smaller project, or no project, would serve you better, the proposal says so.

You pay the running costs directly to the providers, because everything runs on your accounts. They fall into three groups:

• Hosting. The cloud or platform where the software and automations run, billed to your company.
• Model API usage. The AI provider bills per use on your own keys, and every request shows on your own dashboard.
• Software licences. Your CRM, automation platform seats or other tools, in your name.

This matters for price. An agency that resells hosting or AI usage with a margin earns more when your agent uses more, which is the wrong incentive. When the bill is yours, you can check it, cap it and set it against the hours the automation saves. And if the work with us ever ends, nothing has to be migrated, because nothing was held by us. More in own your automation stack.

Ask every agency the same questions and put the answers side by side. A quote that cannot answer them is not cheaper, only vaguer.

• A price before anyone asked about your systems. If the number came before the questions, it was not built for you.
• “Unlimited” anything. Unlimited revisions or automations usually means undefined scope, settled later in an argument.
• Agent washing. The same Reuters report notes Gartner's warning about vendors rebranding chatbots and assistants as agents without real agentic capability. Ask what the agent decides on its own, and what it does when it is unsure.
• No line for data work when your data plainly needs it.

If your purchasing rules require a public price list before any conversation, we are not a fit. The same goes if the job is one connection between two tools that your team could set up in an afternoon with an off-the-shelf automation platform: do that, and call us when it outgrows itself. And if you want an agency to hold your accounts and keys, look elsewhere: we only build on accounts you own.

Book a free 30-minute call. Within 72 hours you receive the written proposal with a price, and a free demo running on one of your real tasks. Kaishift's team, led by our CTO Amine Lamfichekh with more than 12 forward-deployed engineers, works with clients in Europe, Morocco, the Arab world and North America, in French, Arabic, English and Spanish. See what we have shipped in the portfolio, then book the call.