Digital transformation programs fail not at launch, but in year two — when executive attention shifts, budgets tighten, and the organizational energy that drove go-live has dissipated. This post diagnoses the five root causes of the year-two stall and the governance mechanisms that mid-market organizations can put in place to sustain momentum and realize the value their original business case promised.
Digital transformation programmes routinely go live on time and over budget — and then stall at adoption, because the change management investment was either too late, too thin, or borrowed wholesale from frameworks designed for enterprises three times the size. This post breaks down a practical hybrid framework for mid-market organizations, covering stakeholder impact mapping, resistance diagnostics, coalition building, communication cadence design, and adoption measurement, with an honest critique of where Kotter and PROSCI fall short.
The short answer Use RPA when a task follows the same rules every time (data entry, form filling, moving information between systems). Use AI agents when a task requires reading, judgment, or context (analysing documents, drafting responses, making decisions). Most organisations need both — RPA for the repetitive movement of data, AI agents for the…
Practical thinking on project management, AI, and business transformation — straight to your inbox when we publish.
Or follow us on LinkedIn:
Follow StrategyPeeps on LinkedInNo spam. Unsubscribe any time.