Developing a single AI agent that does one defined job typically costs $2,400 to $6,000, depending on complexity. An agent is software that does that job on its own, researching, drafting, processing, or monitoring, and hands you the result. It is not a chatbot or a dashboard. The build is a one-time cost. The full cost of an AI agent has three layers worth separating: building it, running it, and maintaining it.
Why AI agent pricing is so hard to find, and what “an agent” actually is
Search for what an AI agent costs and you will mostly find one answer: it depends, request a quote. True as far as it goes, but it leaves you with no number to take into a budget conversation. Most vendors do not publish a price at all. We just did, in the first line above, and the rest of this article breaks down where that number comes from.
Start with the unit, because half the confusion is about what you are buying. An agent does one defined job in your business on its own and hands you the result: researching, drafting, processing, monitoring, triaging. A daily digest of new RFPs is one agent. An order-processing automation is one agent. It is not a chatbot you have to babysit, and it is not a dashboard you read. If a job is bigger than one agent, a good partner tells you that up front and scopes it as more than one. Get the unit right and the pricing stops being mysterious. You are paying for a working agent, not a platform or a program. Agent Factory pricing is published on exactly that basis.
What drives the cost of an AI agent
Four things move an agent’s price inside that $2,400 to $6,000 range: how many systems it connects to, how sensitive the data and permissions are, how much human judgment it has to encode, and how much security review it needs. A simple agent that reads one source and produces one output sits at the bottom of the range. A complex agent that touches several systems, handles sensitive data, and encodes a lot of expert judgment sits at the top.
Build time tracks complexity too. The promise is an agent a week, so a straightforward agent is about a week of work. A more involved one may take a little longer, or be scoped as more than one agent.
| Complexity | What’s involved | Typical build cost |
|---|---|---|
| Simple | One data source, one output, light judgment | ~$2,400 |
| Moderate | A few integrations, some business logic, a security review | ~$3,000 to $4,500 |
| Complex | Multiple systems, sensitive data and permissions, heavy domain judgment | ~$5,000 to $6,000 |
The three cost layers buyers conflate: build, run, and maintain
Most cost questions blur three different numbers together. Separating them is the difference between a budget that holds and a surprise later.
- Build is the one-time cost to create the agent: the $2,400 to $6,000 above. You see it before any work starts.
- Run is what it costs to operate the agent once it is live: the environment it runs in and the model usage it consumes while working. For a single-job agent this is usually a modest recurring operating cost rather than a major line item, but it is real and worth scoping before you build. Because we build in an environment you own and control, like Claude CoWork or your existing stack, those running costs are visible to you and not buried in a proprietary platform fee.
- Maintain is what it costs to keep the agent working as the systems around it change. Some clients keep us on a simple maintenance arrangement. Others take full ownership, since every agent ships documented and handed over, with no dependency on us to keep it running.
Ask any vendor to separate these three. A quote that covers only the build, with run and maintenance left vague, is where total cost gets away from you.
Pricing models you will encounter
Beyond the number, the model matters. How you are charged shapes how much you ultimately pay, and how predictable that number is. Four models dominate the market.
| Pricing model | How it is structured | Best for | Watch-outs |
|---|---|---|---|
| Per-agent fixed (TomorrowToday) | A set price per working agent, billed weekly | Buyers who want a known number and fast delivery | Confirm what counts as one agent |
| Day-rate or hourly dev shop | Time and materials | Open-ended custom builds | Cost is unbounded until it ships; scope creep |
| Monthly platform or SaaS subscription | Per-seat or per-usage software fee | Off-the-shelf chatbots, not custom agents | Often a chatbot, not an agent that does the job; you pay forever |
| Enterprise project quote | A large fixed bid behind a sales process | Enterprise-scale programs | Wide, hidden ranges; no transparency until late |
The enterprise route is where you see the headline ranges, ten thousand to several hundred thousand dollars, that make AI agents sound unaffordable. Those are quotes for large custom programs, not the price of a single working agent. Our model is the opposite end: a fixed price per agent, published before we build.
Build it in-house or hire a firm? The real cost of DIY
You can build agents in-house. The tools are public, the models are good, and some internal builds succeed. So the honest comparison is not build versus buy on capability. It is which one costs you more once you count everything.
DIY has costs that never show up in a budget line:
- The time of the people who actually do the work. An agent only encodes good judgment if your subject-matter experts feed it, and their hours get borrowed from real jobs.
- The week-3 maintenance cliff. The internal builder returns to their day job, something upstream changes, and the agent breaks or quietly produces wrong output with no one assigned to fix it.
- The cost of a failed experiment. A stalled internal build typically eats a meaningful slice of a capable employee’s year, and stalls are common: S&P Global found the average organization scraps 46% of its AI proofs-of-concept before production. A dead pilot also leaves organizational skepticism that taxes the next AI proposal.
Add those up and a $2,400 agent often costs less than the DIY attempt that never shipped. We wrote up the full pattern, with the failure-rate data, in why internal agent builds fail. None of this means never build in-house. It means price the real cost honestly before you decide.
What you actually get for $2,400 to $6,000
In our Agent Factory, agents typically cost $2,400 to $6,000 each depending on complexity, and you see each agent’s price before we build it. We deliver about an agent a week, bill weekly, and ask for no retainer and no minimum commitment. Every Friday you review the agent that shipped, and you can stop any week. The entry point is a single agent at $2,400.
What ships is a working agent in an environment you own: documented, handed over, and yours to keep running or hand back to us to maintain. No platform lock-in, no six-month roadmap, no transformation program. One agent with one job, in production, doing work a person used to do by hand.
Is an AI agent worth the cost?
The right way to judge the cost is against the work the agent replaces, every day, for as long as it runs.
Kear Civil Corporation, a civil construction contractor, needed to track public RFPs across the country. We built them a research agent on Claude CoWork that searches 15+ public procurement platforms and emails the team a digest every Monday, early enough that the report is in their inboxes when they get in. It went to production in under two weeks, as a $2,000 fixed-fee early-program build. The same agent prices at $2,400 today. That one-time cost replaced a manual search someone used to run by hand, and it has run every Monday since.
That is the math that matters. A working agent is a one-time build cost set against the recurring hours it gives back, week after week. Judged as a monthly subscription it can look like an expense. Judged against the labor it removes and keeps removing, a single agent usually pays for itself quickly. You can see more outcomes in our client results.
Frequently asked questions
How much does it cost to run an AI agent each month?
Running cost is separate from build cost and usually much smaller. For a single-job agent it covers the environment it runs in and the model usage it consumes while working, typically a modest recurring operating cost rather than a major line item. Because we build in an environment you own, like Claude CoWork or your existing stack, you can see those costs directly instead of paying them inside a bundled platform fee. We scope expected run cost before the build, so there are no surprises after it ships.
How long does it take to build an AI agent?
About a week per agent. That is the promise behind an agent a week: a straightforward agent is roughly a week of work, and a more complex one may take a little longer or be scoped as more than one agent. Kear Civil’s RFP research agent reached production in under two weeks, including the work of connecting it to more than 15 data sources. Internal builds usually take longer, not because building is slow, but because access, permissions, and expert time are not scheduled.
Is it cheaper to use an AI agent or hire someone?
For a defined, repeating task, an agent is usually cheaper. A person doing that task costs a salary every year. An agent is a one-time build of $2,400 to $6,000 plus a modest running cost, and it does the task every day without adding headcount. The honest caveat: agents are best at well-defined, repetitive work, not judgment-heavy roles. The point is not to replace people, but to take the repetitive task off their plate so they can do higher-value work.
What is the cheapest way to get started with an AI agent?
Start with one agent. There is no retainer and no minimum, so the entry point is a single agent at $2,400, billed weekly, that you can stop after if it is not working. Before you spend anything, a free 30-minute assessment will look at your workflows and identify your first three agent candidates with a price for each, whether you hire us or not. That gives you a real number to plan around instead of a quote-shaped maybe.
How much does agentic AI cost for a mid-market company?
Agentic AI, meaning software agents that carry out tasks on their own rather than just answering questions, is priced per agent in our model: $2,400 to $6,000 for each working agent, depending on complexity. A mid-market company does not need an enterprise program to start. Most begin with one or two agents aimed at a specific repetitive workflow, prove the value, and add more from there. That keeps spending tied to working results rather than a large up-front platform commitment.
Start with your first three agents
Waiting has a cost too: every week a working agent does not exist, the manual work continues and compounds. Starting does not take a transformation budget. It takes one well-chosen agent, which is exactly what Agent Factory builds. To find yours, a free 30-minute assessment will identify your first 3 candidates and price each one.