As part of its move into service-based business models, an industrial machinery company had launched a new digital service for customers already using its machines. The value proposition made sense: fewer unplanned stops, better maintenance planning, earlier warnings before small problems turned expensive.
The team had invited me into a SteerCo meeting. The initiative’s team lead walked us through the status slides. Three pilot customers had signed, the service worked, the roadmap was moving, and the initiative sponsor nodded in approval. Nothing in the dashboard suggested trouble.
Then the Head of Service leaned forward. “I know the slide is green,” she said. “But they still call us before they open the dashboard of the service app.” The sentence stayed in the room because everyone knew what she meant.
I asked the team to pause the discussion and wrote one sentence on the whiteboard: “For this service to scale, customers change how they make maintenance decisions.”
The room became quieter. Until then, the discussion had been about rollout: more training, better onboarding, clearer instructions for local service teams. All reasonable. None of this touched the hidden key assumption.The team had validated the service and the go-to-market with the most innovative customers. They had not validated the required behavior change for mainstream adoption.
Once the team saw this, the green slide no longer felt safe. It showed delivery progress. It did not show the path from growth ambition into customer routines.
Questions senior managers often ask in this context:
Why do digital service initiatives fail after successful pilots?
Many digital services fail because pilots prove that the solution works, but not that mainstream customers will change their daily routines. Scaling depends less on the dashboard, app, or algorithm than on whether customers actually use the service to make decisions.
How can we tell whether a digital service is really ready to scale?
A digital service is not ready to scale just because pilot customers signed up and the roadmap is on track. Senior managers should look for evidence that customers use the service without prompting, trust its recommendations, and change their maintenance or operating decisions because of it.
What is the biggest hidden risk in scaling industrial digital services?
The biggest hidden risk is the assumption about customer behavior change. Customers may like the service but still rely on familiar routines, local contacts, or phone calls. That means the initiative may show delivery progress while still lacking adoption proof.