BYTEC Guides · Article 4 of 8
The first AI pilot: measure in 30 days instead of guessing
A good pilot is small, clearly defined and measured beforehand. After about a month, it then shows whether expanding is worthwhile.
1. Choose the right workflow
Well suited are workflows that occur often, repeat themselves, follow clear rules and are easy to measure. The necessary data should be accessible and the risk manageable. Do not start with the most sensitive process in the company.
2. Measure beforehand
Record cases per month, minutes per case, error rate and follow-up questions. Ideally over two weeks, so that outliers do not mislead.
3. Define success criteria in advance
For example: processing time drops noticeably, the error rate does not rise, a certain share of cases runs without human intervention. Also define what happens if the target is missed.
4. Start small and controlled
- In parallel with the existing workflow, so that nothing is lost.
- People approve before anything goes out.
- Every action of the agent is logged.
- The agent can be switched off at any time.
5. Evaluate honestly
Measure the same figures as before, and include checking time and corrections. Five questions help:
- Is the work at least as accurate as before?
- How many cases still need a person?
- What does the agent cost in ongoing operation?
- Which time is really freed up for other tasks?
- Can the company use this time economically?
6. Decide
Expand, adjust or deliberately stop. All three outcomes are valuable, because they are based on figures rather than hope.
Six examples of a first pilot: use cases. For your own workflow: book an initial conversation.
