How much does it cost to build an AI agent▌
An honest estimate, not a teaser. Pick the agent type, integrations, data volume and complexity - see a real cost range and timeline, with the drivers spelled out below. No email wall, no "book a call to find out".
# indicative AUD, design + build + ship. operating costs separate.
$ book --type discovery --duration 30m --cost $0
Book a free 30-min discovery call -># the range narrows the moment the spec does. exit code 0 either way.
What actually drives the cost
- agent type
- The floor. A single-task automator is a weekend of work; an internal co-worker that reasons across ten systems is a production program.
- integrations
- Every system you connect is surface area - auth, error handling, rate limits, edge cases. Each one adds time, not just tokens.
- data volume
- Retrieval quality at scale is engineering: chunking, indexing, ranking, evals. Thousands of records is a config; millions is a system.
- complexity
- Reasoning depth, branching, guardrails, evals, security and compliance. This is where a demo and production diverge.
- ongoing (separate)
- Model tokens, hosting, monitoring and maintenance are operating costs, not build costs. Scoped separately so you are never surprised.
| agent type | typical build | timeline |
|---|---|---|
| single-task automation | $8k - $18k | 3-5 weeks |
| document intelligence | $18k - $45k | 4-7 weeks |
| customer support agent | $35k - $90k | 5-9 weeks |
| multi-agent pipeline | $50k - $140k | 7-12 weeks |
| internal co-worker | $90k - $250k+ | 9-16 weeks |
# ranges are indicative AUD for design + build + ship. operating costs (models, hosting, maintenance) are scoped separately.
Asked often
How much does it cost to build an AI agent?
Most production AI agents land between $30k and $150k. A single-task automator can be $8k-$18k; a deeply integrated internal co-worker can run $90k-$250k+. The number is driven by agent type, integrations, data volume and complexity - the estimator above turns those into a rough range.
Why is the range so wide?
Four things move the number: what the agent does (type), how many systems it connects to (integrations), how much data it reasons over (volume), and how much reasoning, guardrails and security it needs (complexity). A single-path workflow is a different product to a multi-agent pipeline with evals and compliance.
How long does it take to build an AI agent?
Typically 3 to 16 weeks depending on complexity. A single-task automator is 3-5 weeks; an enterprise internal co-worker is 12+ weeks. We ship in ASDLC stages - specify, architect, build, verify, ship - so you see working software early, not at the end.
What about ongoing costs after launch?
Model tokens, hosting, monitoring and maintenance are operating costs, separate from the build. We scope them up front so the monthly number is never a surprise - and we design agents to use the right model for the job, not the most expensive one.
Can you give a fixed quote?
Only after a scoped spec. The estimator is an honest indicative range - a fixed quote requires pinning the problem, the integrations and the acceptance criteria first. That is exactly what the free 30-min discovery call is for.
$ book --type discovery --duration 30m --cost $0
Thirty minutes.
Zero dollars. Real answers.
Bring the problem, the half-built prototype, or just the hunch that agents could change how you work. We’ll tell you straight what’s worth building — and what isn’t.
Book a free 30-min discovery call-># no deck, no pressure, no obligation. exit code 0 either way.