An AI pilot is worth expanding when it improves the whole task, meets an agreed quality standard and leaves your team able to handle exceptions. Compare it with the current process using similar work. Include staff review, corrections and running costs, then decide whether to expand, change the approach or stop.
What should you measure before the pilot starts?
Measure the time, quality and cost of the current process before introducing AI. Choose one outcome the team cares about, then record what must stay at least as good as it is today.
Start by agreeing what counts as finished. If the task is preparing a job brief, the endpoint might be a brief that a colleague has checked and can use. A rough summary arriving quickly does not count if someone still needs to reconstruct the job from the original notes.
Follow a sample of typical work through the existing process. Record how long staff actively spend on it, how long it waits and what comes back for correction. Note which cases were straightforward and which involved incomplete information. A week with unusually tidy work makes a poor comparison for a pilot tested during a busy spell.
Pick a few useful measures instead of creating a second reporting job. Ask the people doing the work what they would consider a material improvement. A manager may see a shorter queue while staff are spending longer checking the output. Both observations matter.
How do you compare AI with the current process?
Compare similar cases from start to finish and include every step the pilot adds. Count the work people still do to check, correct or recover the result, alongside the time the assistant saves.
Here is an illustrative workflow, not a client case study. A maintenance team wants to turn free-text site notes into a handover brief. The current process involves a coordinator reading the notes and preparing a brief. The pilot drafts the same brief inside the existing job system. The coordinator reviews it against the notes before it is shared.
| Measure | What to record | | --- | --- | | Staff time | Minutes spent preparing, checking and correcting each brief | | Waiting time | Time from notes arriving to a usable brief being available | | Quality | Missing details, unsupported statements and material corrections | | Exceptions | Cases handed back to staff and the reason | | Running cost | Software charges and staff time needed to support the workflow |
Use the same review checklist on briefs from both methods. A mistake that could send a team to the wrong location matters more than a formatting error. Record it separately so it cannot disappear into an average quality score.
If you can, test both approaches on the same set of authorised historical examples before a live trial. Include routine cases, unclear notes and conflicting details. Then check whether the results hold up in daily work, where interruptions and handovers can affect performance.
When is simpler automation a better investment?
Use a fixed rule when the work follows a reliable pattern. If the pilot saves time mainly by moving information between fields, the useful part may be the connection between tools.
In the handover example, a standard form can carry across the job number, site address and appointment date. Staff should not have to verify that AI has guessed those details correctly. AI may still help turn a long note into a readable summary, provided the reviewer can check it against the original.
Try improving the form, removing duplicate entry or using a template before paying for ongoing AI processing. These changes give you a more meaningful comparison. The question is whether AI adds enough value over the best simple option you could reasonably put in place.
How should you decide whether to expand?
Agree the decision criteria before testing. Expand only if the pilot delivers a worthwhile improvement, errors remain within the limits you set and staff know how to handle problems.
- Expand when the whole task takes less staff effort or finishes sooner, quality holds up and the team can support it.
- Change the approach when the useful part is clear but errors cluster around a fixable issue, such as stale records or a confusing review screen.
- Stop when corrections cancel out the gains, important errors are hard to detect or a simpler method does the job.
Include recurring charges, support and the time needed to keep information current. Time released can give staff room to handle more work or focus on difficult cases. Do not assume those minutes translate directly into cash savings.
The NIST AI Risk Management Framework treats evaluation and risk management as part of using AI systems. In a small pilot, that can mean a named owner, a simple record of failures and a clear way to return to the manual process. Keep human approval where a mistake could affect a customer, a payment or an operational commitment.
Frequently asked questions
How long should an AI pilot run?
Run it long enough to see the normal mix of work and the exceptions that could change your decision. If important cases are rare, test those separately using authorised examples rather than waiting for them to happen.
Is time saved the most important measure?
It depends on the problem. If the main concern is incomplete handovers, count missing details and repeat work first, then check whether the improvement is affordable.
What if the pilot only works on easy cases?
It can still be useful if those cases are common and can be recognised reliably. Keep a clear route to staff for everything else, and count the effort needed to operate both routes.
Who should make the decision?
The person responsible for the workflow should decide with the staff who use it and anyone responsible for the affected information or systems. Review real examples together so the decision is based on the work rather than a polished demonstration.
2410 Studio is a UK studio that builds AI into the tools a business already uses, with the client keeping the custom code. See our AI projects, or bring one workflow and a sample of your current process to 2410 Studio. We can help you decide what to measure and what would justify expanding the pilot.
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