Research report
The State of SAP
What Happens When AI Gets Embedded in the SAP Team
The tooling conversation has been about percentage points — 20% faster here, 25% faster there. That's what you get when AI sits beside the team. The organizations seeing step-change results did something different: they put AI inside the workflow, on the custom code itself. The output curve doesn't look incremental.
Key findings
5x
increase in delivery capacity reported by SAP teams that embed AI into remediation and development workflow, rather than bolting it onto the IDE
2–5M
lines of custom code in the average ECC system — the work that has always set the ceiling on what an SAP team could take on in a year
32%
of SAP developers are now running AI on production projects, nearly double last year — the shift is already underway
A complete playbook for embedding AI in the SAP team
The new success metric: how top SAP teams measure AI impact (and why it isn't lines generated or IDE suggestions accepted anymore)
Building the investment case for AI when the return shows up as capacity, not cost reduction
Why 30-day POCs beat 12-month RFPs
How the SAP team becomes a platform for the business once the backlog stops setting the ceiling, and what that looks like in practice
The emergence of the AI-Native ABAP Engineer: what this role is, and why it matters for talent and growth
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