Practical writing on ERP readiness, implementation, support, training, governance, testing, data migration, recovery, and Artificial Intelligence (AI).
The three main migration approaches trade speed for transformation in different proportions. Survey data shows most companies are choosing based on urgency, not strategy — and that has consequences.
Two independent studies, run a year apart, land on almost the same number. That kind of agreement is rare in ERP research, and it should worry anyone assuming their migration will be the exception.
Gartner's own tracking of the installed base shows a migration that is real, but nowhere near fast enough to clear the field before the deadline arrives.
SAP's mainstream maintenance clock on ECC is not a rumour or a negotiating tactic. Here is exactly what stops, what survives, and why the calendar matters more than most IT roadmaps admit.
Go-live is a milestone, not a finish line, and the discipline built during migration, clean data, governed code, continuous testing, real-time monitoring, has to become permanent practice for the investment to pay off, with AI-readiness following as one more benefit of keeping it up
SAP's mainstream maintenance for ECC ends December 31, 2027, and the business case that justifies an S/4HANA migration needs to hold up long after the budget meeting that approved it. Most get built early, on thin information, and never revisited, a habit that gets riskier with every month left before the deadline closes off options, AI-assisted modeling included.
As more organizations race to be live well before the ECC mainstream maintenance deadline, hypercare, the critical stabilization window right after go-live, is the phase most project plans still leave understaffed, with AI-assisted monitoring only helping teams catch problems a little faster.
Master data governance isn't a task you finish before go-live and file away. It's an operating discipline that has to run for the life of the S/4HANA system, built into the migration program from the start so the organization can hit the December 31, 2027 deadline without inheriting a second cleanup project eighteen months later, with AI-assisted tooling as one aid along the way.
Every study of ERP failure points to the same pattern: technology gets the budget, and the people who have to run the new system every day get what's left over. With SAP's 2027 support deadline compressing timelines across the industry, that imbalance is getting harder to absorb, even with AI tools helping stretch the training budget a bit further.