Many service organisations are working toward more proactive, condition-based, and predictive maintenance models. Progress is rarely limited by the technology. Connected assets generate the data, remote monitoring is feasible, the technical case holds. What holds progress back is something harder: customers don't always see the value, resist connectivity, or prefer to keep maintenance capabilities in-house.
The variation matters. Maintenance value differs strongly by industry, asset type, and customer context. Customers differ in what they want to keep in-house, co-manage, or outsource. Solutions designed around technical sophistication rather than customer value logic consistently miss, not because they aren't clever but because they answer the wrong question.
This Sprint works across the parts of the Service Transformation Framework most relevant to the question: innovation and growth in winning service strategies, innovation and revenue generation in service business models, and the always-on base of a resilient, learning organisation.
