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The SAP AI business case and value tracking

As of 2026-09-25

Edited by Cédric-Olivier Mâry, sole editor and publication director — 27 years in the SAP ecosystem. How these pages are produced, and where automation is used.

What is The SAP AI business case and value tracking?

SAP's own 2026 survey of 2,600 business leaders shows ROI expectations climbing (21% this year, projected 38% in two years) while governance readiness lags badly (only 12% call themselves fully ready to govern AI) — the gap between those two numbers is exactly what a business case has to close before a client signs, and exactly what C148's post-go-live tracker has to keep proving after they do.

The number a business case has to earn

SAP's own commissioned research gives a business case both its opening hook and its credibility test. A July 2026 SAP study of 2,600 business leaders across 13 countries found average global business spending on AI at US$28 million in 2026, with an expected ROI of 21% this year (US$6.3 million), up from 16% the year before, projected to reach 38% in two years (US$15.9 million). Agentic AI carries a steeper curve: expected average ROI from agentic AI in two years is US$17.6 million, up from a US$4.3 million prior-year estimate, and 83% of businesses call agentic AI's potential moderate to very high — while only 3% say they are fully prepared for it. The number worth quoting in a business case is not the headline ROI percentage; it is the gap between ambition and readiness. The same survey found only 46% of companies have a dedicated AI leader, 52% have a clear AI development framework, and just 12% call themselves fully ready to govern AI effectively. A business case that promises the 38% two-year ROI without addressing why 88% of the market is not yet ready to capture it is not a business case a CFO should sign.

Why it matters

SAP's own 2026 survey shows the real gap a business case has to close is not the ROI number — it is that only 12% of businesses call themselves fully ready to govern AI, against 21%-to-38% ROI ambitions.
The SAP Business AI catalog's value figures are benchmark ranges built from industry data, not client-specific commitments — a business case that skips the baseline-and-adjustment step collapses the first time someone asks "compared to what."
A business case with no named post-go-live tracking owner is structurally indistinguishable from the AI investments most companies, per SAP's own research, are not actually measuring — naming the owner is what separates a case from a wish.

Key points

SAP's Jul 2026 survey (2,600 leaders, 13 countries): average AI spend US$28M in 2026; ROI 21% this year (US$6.3M) up from 16%, projected 38% (US$15.9M) in two years.
Agentic AI ROI expectation: US$17.6M in two years, up from US$4.3M prior year; 83% see moderate-to-very-high potential but only 3% feel fully prepared.
Readiness gap: only 46% have a dedicated AI leader, 52% a clear AI development framework, 12% call themselves fully ready to govern AI.
SAP Business AI catalog value estimates come from industry expertise, benchmarking data, third-party research and early customer feedback — a benchmark range, not a client commitment.
SAP describes catalog-based structuring as cutting the time to build a value case by up to 70% — the saving is in structure, not in skipping client-specific adjustment.
Three cost categories that must sit on the same page as benefits: AI Unit consumption (C333), AI CoE/governance overhead (C149), data-readiness cost for strategic-bet use cases (C352, via C374).
Five-step build sequence: measured client baseline -> catalog range as hypothesis -> costs on the same horizon -> named governance/adoption prerequisites -> named post-go-live tracking owner.
Handoff to C148: the business case's assumptions and named owner become the first rows of the post-go-live TCO/ROI tracker.

Terms used on this page

Value case: SAP's term for the structured document linking a specific use case's catalog-benchmarked value to a client's own numbers.
Governance readiness: A business's demonstrated capacity to govern AI effectively — per SAP's Jul 2026 survey, only 12% of businesses rate themselves fully ready.
Value Advisory: SAP's practice producing the benchmarked value estimates behind the Business AI catalog's use-case entries.
Post-go-live tracking owner: The named role responsible for measuring a business case's claimed value after production go-live — the handoff point to C148's tracker.

Sources

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