The short answer
Most automation projects fall somewhere between $2,000 and $50,000. A single-workflow fix, connecting two tools, cleaning up one broken process, usually lands in the $2,000 to $5,000 range. A multi-system integration or a production AI agent typically runs $5,000 to $15,000. A full operations build, the kind that replaces dozens of manual touchpoints across an entire team, can run $15,000 to $50,000 or more. Ongoing monitoring and support, if you want someone on call after delivery, is usually a few hundred dollars a month.
That is a wide range, and for good reason. The number depends on what you are actually solving, not on a flat rate per hour of work.
What actually drives the price
Number of systems involved. A workflow that moves data between two tools is a different project than one that has to reconcile data across five. Every additional system adds edge cases: different data formats, different rate limits, different failure modes. Price scales with the number of places something can go wrong, not with how impressive the end result looks.
Volume and error tolerance. A workflow that processes 20 records a day and can tolerate an occasional manual fix is simpler than one that processes 2,000 records a day and cannot fail without someone noticing immediately. Higher volume and lower error tolerance both mean more retry logic, more monitoring, more testing before launch.
How much of the process is undocumented. If you can describe exactly what should happen in every case, scoping is fast. If the process lives in someone’s head and has exceptions nobody wrote down, the diagnostic takes longer, because we have to surface those exceptions before we can quote a number that will not move later.
What “done” includes. A quote that only covers the happy path is cheaper and also incomplete. Ours include error handling, monitoring that alerts before failures reach your customers, documentation, and 30 days of post-delivery support. Those are not add-ons priced separately. They are why a project that looks similar on the surface can cost more from one shop than another. See our breakdown of what “production-grade” includes if you want the full list.
Why we quote fixed price instead of by the hour
Hourly billing puts all the financial risk on you. You do not know the final number until the invoice arrives, and the developer has no structural incentive to solve the problem in the simplest way, since a more complex solution takes longer to bill. We scope fixed price instead: a 30-minute diagnostic call, a specific quote based on what we found, and a number that does not move unless the scope changes and you agree to it first.
A real example of the range in practice
One professional services client came to us running 12 disconnected tools with no automation between them. The diagnostic mapped 180 individual manual touchpoints across the team, a number nobody had actually counted before we did it. That was a large build: 16 workflows, sequenced so the pieces everything else depended on went first. It sat at the higher end of the range, and it paid for itself in 2.3 months, because the manual labor it replaced was 48 hours a week across the team.
Not every project is that size. Plenty of clients come to us with one specific process, a lead that is not getting followed up, two CRMs that disagree with each other, and the fix is a single workflow at the lower end of the range. The diagnostic is what tells you which one you have before you commit to a number.
How to find out where you land
The fastest way to know what your specific problem costs is a 30-minute diagnostic call. We look at your current setup, ask about volume and error tolerance, and give you a specific quote, not a range, based on what we actually found. The call is free, and the scoping notes are yours to keep even if you do not hire us. See the full pricing breakdown for what is included at each level, or book a diagnostic to get your number.