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A ChatGPT pilot for business: how to measure the results
Short answer
A ChatGPT pilot measures finished work: accepted quotes, reports or replies. The number of messages in the tool shows only use. Set a unit of work and a sign-off criterion, then time the current method and the work with ChatGPT, corrections included. In a scenario of 200 tasks a month at 30 and 18 minutes, €1,008 a month is left after process care and licences.
- net per day of closed training for the team
- from €1,150
- people in one training group
- up to 15
- after this time, we measure the effect on the same tasks
- 30 days
We belong to the OpenAI and Anthropic partner programmes and learn through their official courses. What this means ↓
Author: Syntalith · 4 min read
Statistics
ChatGPT at work: statistics 2026
€1,008
a month is left at 200 tasks cut from 30 to 18 minutes, after process care and licences for 8 people. Scenario.
25.1%
According to a Harvard Business School study (2023) of 758 consultants, tasks within the model's capabilities were done 25.1% faster with AI.
14–56%
According to Anthropic (2025), AI cut task time by 14 to 56% in studies with a control group.
Source: Anthropic, Estimating AI productivity gains (2025) ↗
15.1%
According to Eurostat (2025), 15.1% of people aged 16 to 74 in the EU used generative AI tools for work.
32.7%
According to Eurostat (2025), 32.7% of people aged 16 to 74 in the EU used generative AI tools in the previous 3 months.
Figures checked: 22 October 2026
Set a unit of work and a sign-off criterion
A pilot has to answer one question: does the team do the chosen task more efficiently at the same quality and an acceptable cost. The number of messages sent to ChatGPT does not tell you that.
A quote for a customer
a quote approved by the manager
a wrong price, a missed requirement
A monthly report
a report with agreed totals
the wrong period, a duplicated transaction
A reply to a customer
a reply ready to send
wrong information, the question left unanswered
The same criterion applies to the current method and to the work with ChatGPT. Otherwise a better time comes from lower standards. Check critical limits separately, for example no access to another customer's documents. A good average does not make up for breaking them.
Time the current method on comparable tasks
Gather ordinary cases, hard exceptions and tasks with missing data. Mark their type before the test. Do not pick only the cases where the new instruction already worked well.
If you can, split comparable new cases between the two methods and vary their order. Doing the same task a second time is often faster thanks to memory, whatever the tool. Match the schedule to the work cycle: a monthly process needs at least one full month.
What to record in the pilot sheet
| Field | Why you collect it |
|---|---|
| Task ID and type | Comparing similar cases without copying confidential data |
| Way of working and instruction version | You know what was tested |
| Preparation and execution time | Supplying the data counts too |
| Checking and correction time | The work must not shift to the manager |
| Sign-off result and type of error | Judging quality and the reasons for rejection |
| Retries and finishing by hand | The cost of failed attempts stays in the result |
Keep a person's active work apart from waiting for a result. OpenAI recommends checking numbers, sources and files before use (guidance on reviewing results). That check is part of the process and goes into the measurement.
How to count the time given back
- Tasks a month
- 200
- Time today
- 30 min per task
- Time with ChatGPT, with preparation and checking
- 18 min
- Difference
- 200 × 12 min = 40 h
- Process care
- 6 h
- Time given back
- 34 h × €34.90 = €1,187
- ChatGPT Business licences, 8 people
- $200 (€178)
Left after licences
€1,008 a month
The volume and the times are the scenario's assumptions. €34.90 an hour is the EU average hourly labour cost for 2025 according to Eurostat. Licences with monthly billing, at the ECB rate of 1.1205 USD per euro on 22 October 2026. At this result a €1,150 rollout pays back in 1.1 months.
The value of time is not yet a saving on the company's bill. Decide how the team will use the hours given back: cut overtime, take on more volume or shorten the queue.
In the summary, show the median and the spread of times. An average of a few easy tasks and one very long case blurs a typical day. Do not remove a hard case from the report just because the tool could not handle it.
Count the cost of learning and of running
A pilot needs one-off preparation of materials, accounts and people. A running process needs licences, the owner's time and possibly care. Show these costs separately, so that the first month does not pose as every month after it.
| Item | Cost |
|---|---|
| ChatGPT Business, annual billing | $20 per person a month |
| ChatGPT Business, monthly billing | $25 per person a month |
| 8 people, monthly billing | $200 a month |
| Rollout with measurement for a team of up to 10 people | from €1,150 net, once |
| Review of an existing account and 5 tasks in 1 day | €450 net |
We use this way of measuring in our ChatGPT rollout: we record task times before the training and measure them after 30 days. The cost breakdown is in the article what a ChatGPT rollout costs.
A decision by the conditions you set
- What drop in time or rise in volume justifies the cost
- The acceptable error rate, with critical errors counted separately
- Who judges the result and on which sources
- After how many tasks you make the decision
Extend use when new tasks meet the criteria without constant help from the person running the pilot. If the benefit disappears once corrections are counted, change the scope or end the trial. When the result is good but there were few tasks, gather more observations. The plan for the whole rollout is in the article on the ChatGPT Business rollout.
Worked example · Scenario
How we count the payback: board meeting notes
We run the same count for your team's tasks in the free process review: how many there are, how long they take and what an hour of work costs.
€1,309
a month for writing notes after 50 meetings
Payback: 1.4 mo.
Our assumptions are 45 minutes for the note from a board meeting and the update of the task list, and checking in 25% of the old time. €34.90 an hour is the EU average hourly labour cost for 2025 according to Eurostat, for companies with 10 or more employees. Licence: ChatGPT Business or Claude Team at 20 USD per person a month on annual billing, about €17.85 at the ECB rate of 1.1205 USD per euro on 22 October 2026. We count the whole licence against notes here, although the team also uses it for other work. Rollout: from €1,150 for up to 10 people, from €2,300 for 11 to 40 people.
See the full calculation →
