Building the Business Case for S/4HANA Migration Before the 2027 Deadline
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.

Building the Business Case for S/4HANA Migration Before the 2027 Deadline
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.
8 min read | Orpington Technologies Insights
SAP's mainstream maintenance for ECC ends December 31, 2027. Past that date, organizations that haven't moved lose more than a support contract: the third-party consultants, staffing pools, and specialist vendors built around ECC-era SAP also thin out, as the installed base shifts toward S/4HANA and the people who know ECC best move with it. That combination, shrinking support and a shrinking bench of people who can help, is what turns migration from a project some organizations might eventually get to into one with a real deadline attached.
Under that deadline, the business case that justifies a migration deserves more scrutiny than it usually gets. Most are built before anyone has a precise view of what the project involves: the data profiling hasn't run yet, the custom code assessment hasn't scoped the technical debt, and fit-gap analysis hasn't confirmed which simplification items even apply. Instead the business case gets assembled from industry benchmarks and comparisons to similar projects, submitted for approval, and then left alone until the project wraps and someone checks whether it landed where it was supposed to. That's a reasonable way to get budget approved. It's a poor way to manage a decision with a hard deadline behind it, and AI-assisted modeling is one of the more useful tools for closing that gap, letting the business case update as real project data comes in instead of standing on the original guess.
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