Choosing Your Path to S/4HANA: Fit-Gap Analysis and the Greenfield-Brownfield Decision
Before a program can commit to a realistic timeline, someone has to decide how the business will actually get to S/4HANA: redesign around the new defaults, carry the existing configuration forward, or take a selective path through specific processes. That call has to be made early enough to still hit the December 2027 deadline, and AI-assisted tools can help teams get through the underlying analysis faster.

Choosing Your Path to S/4HANA: Fit-Gap Analysis and the Greenfield-Brownfield Decision
Before a program can commit to a realistic timeline, someone has to decide how the business will actually get to S/4HANA: redesign around the new defaults, carry the existing configuration forward, or take a selective path through specific processes. That call has to be made early enough to still hit the December 2027 deadline, and AI-assisted tools can help teams get through the underlying analysis faster.
7 min read | Orpington Technologies Insights
SAP's mainstream maintenance for ECC ends December 31, 2027. That date alone would be reason enough to act, but the pressure builds from another direction too. As more of the installed base moves off ECC, the network of consultants, systems integrators, and third-party tools built up around that platform thins out with it. Specialist ECC support is already harder to book than it was a few years ago, and that will likely keep going as attention and staffing shift toward S/4HANA.
Long before a program sets a go-live date, it has to answer a harder question: what does S/4HANA actually change about how this specific business runs, and how much of that change is the organization prepared to absorb. That is the job of fit-gap analysis, working through SAP's roughly thousand-page simplification list to find which items apply and what they mean for existing processes. The result of that work is what determines whether the right path is greenfield, brownfield, or something selective in between, and putting off that decision eats directly into the runway a program has left before 2027. AI-assisted matching tools are increasingly used to speed up the early pass through the list, which helps, but the decision itself still belongs to people who understand the business.
A Thousand Pages, One Business at a Time
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