Planning guide
What drives the cost of an AI pilot
Last updated
Six factors set most of the effort in an AI pilot, and a short discovery phase can narrow nearly all of them before anyone writes code.
The six factors behind pilot cost
The cost of an AI pilot in Australia depends mainly on six things: how ready your data is, how many systems the pilot must connect to, the hosting model, your security and compliance needs, how many sites and users are in scope, and whether you need managed support afterwards.
None of these is a fixed number. Each can be narrowed during discovery, which is why a credible firm does not quote blind. This guide gives no prices. It explains what moves the effort up or down so you can scope a pilot well.
Cost drivers at a glance
| Cost driver | What increases effort | What reduces it |
|---|---|---|
| Data readiness | Scanned documents, inconsistent formats, no history to test against | A clean sample set and a named data owner |
| Systems to integrate | Several systems, older platforms without APIs, writing back to records | One system to read from, with a person entering the result at first |
| Hosting model | Private models on your own servers, disconnected sites | A cloud region you already run, with approved services |
| Security and compliance | Personal, health or financial data, new vendor assessments | IT and risk involved early, existing approved patterns |
| Sites and users in scope | Every site at once, a different process at each branch | One site and one team first, then roll out |
| Managed support | Constant monitoring, frequent change in documents and suppliers | Your team running it with runbooks and training |
What a well-scoped pilot includes
One named process
With a process owner who will use the result.
A measured baseline
Time, errors or backlog today, so improvement can be shown.
An accuracy bar
Agreed in advance by the people who will approve the output.
Real data, alongside your team
It runs on live work before anything reaches your systems.
Fixed scope and fee
What is in, what is out, agreed in writing.
A go or stop decision
At the end of the pilot, on your numbers.
How phase gates keep cost in check
Discover
Map one process at one site. Measure it. Decide to go or stop.
Prove
A working version runs alongside your team until it meets the accuracy bar.
Build
Connected to your systems, with people approving and every action logged.
Run
Your team receives the code, runbooks and training. Ongoing support is optional.
Costs that come after the pilot
Hosting and compute
Running the models and connections in your environment.
Model usage
Usage fees where a commercial model is part of the design.
Monitoring and support
Keeping accuracy up as documents and processes change.
Change management
Training, updated procedures and time for staff to adopt it.
Questions
How much does an AI pilot cost in Australia?
There is no honest single figure, because cost depends on data readiness, the systems to connect, hosting, security needs, sites in scope and support. Expect a fixed fee per phase, agreed before work starts and after a discovery session, with discovery itself the smallest commitment.
How long does an AI pilot take?
Duration depends mostly on data readiness and how many systems the pilot must read from or write to. We confirm a timeline after discovery and keep the pilot to one process at one site, so results can be measured quickly and the next decision is not delayed.
What should an AI pilot prove before we scale it?
It should meet an accuracy bar agreed in advance, on your own data, while running alongside your team, and show a measurable gain against the baseline. If it cannot show both, stop or rescope before spending on integration and rollout.
Why do AI pilots fail to reach production?
Common reasons are no named process owner, data that was never checked, no agreed measure of success and nobody responsible after go-live. Integration with live systems is often left until last, when it is hardest to fix.
Is a fixed-scope pilot better than time and materials?
For most first pilots, yes. A fixed scope and fee forces agreement on the process, the measure and what is out of scope, and a phase gate lets you stop before committing to later phases. Time and materials suits open-ended research.
What ongoing costs come after an AI pilot?
Model usage is the cost that surprises people most, because it scales with document and transaction volume. Ask for a cost per transaction at your expected volumes, alongside hosting, monitoring and staff adoption time, and have it in writing before the build phase is approved.
Scope a pilot properly
A short discovery session gives you a written scope and a fixed fee for the first phase.
Fixed-fee phases, agreed before we start. Stop after any phase.