How much does it cost to build a custom AI agent?

A custom AI agent has two costs: building it once, and running it every month. At SynthesisLogic, projects start at US$1,000 for a focused agent doing one job in one or two systems. The price rises with the number of systems, how messy the input is, the approval rules, the hosting and the volume. Running costs are hosting and model usage, which grow with volume, plus upkeep when your systems change.

Updated 8 November 2026.

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How much does it cost to build a custom AI agent?
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What moves the price

Factor	Lower cost	Higher cost
Systems to connect	One or two, with APIs	Several, or systems without an API
Input	Forms and structured data	Free-text email, scans, voice notes, handwriting
Rules and exceptions	Few, and written down	Many, held in people's heads
Approvals	One approver	Several roles, limits and escalation
Hosting	A cloud model through an API	Your own servers with a local model and a GPU
Languages	One	Several, such as English, Arabic and Persian
Volume	Tens of cases a day	Thousands, with queues and parallel workers

Build cost and running cost

Build (one-off): Mapping the job, writing the agent and its tools, connecting your systems, testing on your real cases, and going live with approvals.
Model usage (monthly): Paid per use to the model provider, and growing with volume. With a local model there is no per-use fee, but there is hardware.
Hosting (monthly): A small server is enough for most agents; a GPU server is needed to run a model locally.
Upkeep (when needed): Changes when a system updates its API, a document layout changes or you add a rule.

Our prices

Projects start at US$1,000. The lower end is a focused agent: one job, one or two systems, tested on your real cases, with approvals on the actions that need them. Agents that span several systems, several agents working together, and setups on your own servers are priced per project.

After a first call you get a written estimate of cost and time for your case. Ask any builder, including us, for the build cost and the expected monthly running cost as separate numbers, so you can compare like with like.

How we keep running costs low

Rules before the model: totals, dates, codes and lookups are done in plain code, and the model reads only what rules cannot.
A small model for routine sorting and extraction, a larger one only for hard cases.
Only the text a step needs is sent to the model, not whole documents or histories.
Repeated lookups are cached and work is batched.
At high volume, a local model can replace per-use fees with a fixed hardware cost.

Custom agent or subscription software?

Subscription tools charge per user, per document or per task every month, for as long as you use them. A custom agent costs more on day one and then only its running costs. Put both into the formulas on our ROI page for your volume; the cheaper start is not always the cheaper year.

Questions

Why do AI agent prices vary so much?

Because the work does. An agent that reads one kind of web form into one CRM is a small project; one that reads scanned invoices in three languages into an on-premise ERP with approvals is a large one.

Is there a monthly fee?

There are running costs: hosting and model usage, which depend on your volume. Upkeep is optional and quoted once the agent is live, if you want us to look after it.

Who owns the code?

You do. You receive the source code and documentation, and can run or change it without us.

Can we start small?

Yes. Most projects start with one job. The next jobs reuse the connections, rules and logs already built.

What does an AI agent cost compared with an employee?

It is not a replacement cost. Count the hours of repetitive work it removes and the errors it avoids, and compare that with its build and running costs; the ROI page shows how.

Agents for these jobs

Want an agent built for this?

We build AI agents in code, connected directly to your systems, with no per-task fees. Write a few lines about the work you want to automate and the systems you use; we reply to set up an online intro call.