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The SAP AI business case and value tracking

As of 2026-11-07

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 “AI ROI Measurement Framework — TCO of AI Ownership”'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, AI CoE/governance overhead, data-readiness cost for strategic-bet use cases (via “AI use-case discovery and prioritisation for SAP clients”).
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 “AI ROI Measurement Framework — TCO of AI Ownership”: 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 “AI ROI Measurement Framework — TCO of AI Ownership”'s tracker.
Baseline-adjustment method: Narrowing SAP's catalog benchmark range to a client-specific figure using the client's own measured current-state number, volume and fully loaded unit cost — the step that turns a hypothesis into a defensible business case.
AI CoE overhead (cost category): The human cost of the AI Center of Excellence and governance work a use case requires to stay compliant — one of the three cost categories a credible business case must show alongside AI Unit spend and data-readiness cost.
Agentic AI ROI curve: SAP's July 2026 survey found agentic AI's expected two-year ROI (US$17.6M average) rising faster than overall AI ROI, while only 3% of surveyed businesses call themselves fully prepared for it — the gap this page treats as the real risk to price.

Sources

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Edited by Cédric Mary · How this page is made

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