The automation pilot worked. So why does nothing follow?
The demo was good and the team was happy. Three months later, the workflow still runs for one team only. An automation pilot rarely fails on technology. It stalls on everything around it.
Short answer: An automation pilot stalls when it proves that a workflow can run, but nobody owns the next step. The five usual reasons are an unclear owner, a pilot too special to scale, no maintenance plan, no agreed measure of success and unplanned exceptions. Name an owner, a metric and a rollout plan before the pilot starts.
Here is a common story. A team automates one process as a pilot. It works. Everybody nods in the review meeting. Then the quarter ends, other priorities arrive, and the automation stays where it is: running for one team, known by few, owned by nobody. An automation pilot rarely fails because of the technology. It stalls because of everything around it.
What an automation pilot is for
An automation pilot is a small, time-limited test of one workflow with one team. Its job is to answer a question: does this work here, and is it worth doing more of it? A pilot that answers the question has done its job. Whether anything follows is a separate decision, and that decision often never gets made.
Why an automation pilot stalls: five reasons
1. Nobody owns the next step
During the pilot, one enthusiastic person drives everything. When the pilot ends, that person goes back to their normal job. Without a named owner for the rollout, the project belongs to everyone, which means it belongs to nobody.
2. The pilot was too special to scale
Pilots often run with the best data, the most willing team and a lot of manual help in the background. That makes the pilot succeed and the rollout hard. Ask what was done by hand during the pilot that would not scale.
3. There is no plan for maintenance
Every workflow breaks when a tool changes, a field is renamed or a process shifts. If nobody is responsible for fixing it, the first break ends the trust of the team. We described what happens then in When not to automate. 4 warning signs..
4. Success was never defined
If the goal was "let us try it", then "it works" is the only possible result. A decision needs a measure: hours saved per week, errors per month, days to answer a request. Agree on one number before the pilot starts and look at it at the end.
5. The exceptions were left for later
A pilot with clean test cases looks great. Real volume brings the odd cases. If nobody planned how to handle them, the team starts to work around the automation, and the workflow slowly loses its purpose.
What to decide before the pilot starts
Four decisions take about an hour and prevent most stalls:
Who owns the rollout if the pilot works?
Which one number decides success?
Which team or process comes next, and when do we look at it?
Who fixes the workflow when it breaks, and how do they hear about it?
Write the answers on one page and attach it to the pilot plan. If you cannot answer one of them, you have found the first thing to work on.
A pilot that is built to continue
A good pilot is not a smaller version of the final project. It is the first step of it. That means using real data, including a few messy cases, involving the person who will run it later, and writing down what was done by hand. It also means planning the review meeting as a decision meeting: continue, change or stop. All three are good outcomes. Only drifting is a bad one.
Start with the process, not the tool
Many stalled pilots start with a tool someone wanted to try. We start with the process: who does what today, where does it hurt, and what would be different afterwards? This is the idea behind Before you automate, understand the process. When the process is clear, the pilot has a purpose beyond the tool.
Conclusion
A pilot is a question, not an end point. Make sure somebody is responsible for answering it. Which of your pilots is running quietly for one team right now, and what would it take to decide about it?
Structure first, intelligence second.
Is one of your pilots stuck? Book a 30-minute call and we will look at what is missing.
FAQ
Why do automation projects fail after the pilot?
Usually not because of the technology. The common reasons are no owner for the rollout, a pilot that was too special to scale, no maintenance plan, no agreed measure of success and unplanned exceptions.
How long should an automation pilot run?
Long enough to see real volume and a few exceptions, usually a few weeks. Fix the end date and the decision meeting in advance so the pilot does not drift.
What should be decided before an automation pilot starts?
Who owns the rollout, which single number defines success, what comes next if it works, and who fixes the workflow when it breaks.
This Blogpost was created with the support of AI
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