Choose one useful AI workflow pilot
· Veylund B.V.
Start with a recurring task and a person who can judge the result. Choose the tool after you understand the work.
Choose a task you can check
A possible starting point is preparing a draft report from approved source material for a person to review. Keep the task bounded: one input set, one output and one owner. Do not begin with “automate the department”.
- The task repeats often enough to observe before and during the pilot.
- You can access representative examples with permission to use them.
- Someone can recognise a correct result and explain unacceptable errors.
- A failed output can be held back, corrected or discarded before it causes harm.
Compare the simpler options
Ask whether a clearer process, a template or a conventional integration would solve the problem. If fixed rules are sufficient, introducing an AI model may add work rather than remove it.
Write a short pilot brief
- Task: what starts the work, what the output must contain and where the pilot stops.
- Baseline: current handling time, review effort and recurring errors, measured on agreed examples.
- Data: approved inputs, access limits, permitted tools and retention arrangements.
- Checks: acceptance criteria, missing or conflicting input cases, and who approves the output.
- Boundaries: time and spend limits, actions the system must not take, and a manual fallback.
Measure the whole job
Include preparation, corrections and approval when comparing effort. A fast draft is not a saving if checking it takes longer than doing the original task. Keep examples that failed, not just the convincing demonstrations.
At the end, decide whether to proceed, revise or stop. Before everyday use, agree an owner, operating cost, monitoring, staff guidance and maintenance responsibilities. A successful pilot is evidence for that decision, not proof of production readiness.