Most conversations about advanced maintenance start with the technology: connected assets, predictive models, prescriptive analytics. This Sprint starts a step earlier. When does advancing maintenance actually create value, and when is it spending money where it won't earn a return? Predictive and prescriptive maintenance are proven, but they only pay where they fit. For many assets, preventive or condition-based maintenance is enough; for some, running to failure is the right economic call. The useful question is which of the customer's value drivers matter most: uptime and throughput, maintenance cost, the capital tied up in the asset, or safety and compliance, and which maintenance approach actually moves them. And even where prediction is justified, the value is only realised when the insight becomes work that gets executed. That is where most programmes stall.
That reframing opens a far wider field. Once maintenance is treated as a system for creating value rather than a cost to control, a broader set of jobs comes into view: deciding which assets matter and what each one needs, turning condition insight into executed work, and owning the strategy and governance layer above day-to-day operations. That is where the value is decided, where customers struggle most, and where competition is thinnest. This is a portfolio of services well beyond prediction, delivered the way the customer prefers: do-it-yourself, do-it-with-me, or do-it-for-me, and carried through to how the value is priced and captured.
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.
