In many SAP programs, significant time and cost are absorbed by documentation, implementation alignment, testing preparation, and iterative review cycles. Functional requirements are often translated inconsistently, technical artifacts vary across teams, and manual validation introduces delays and rework that increase delivery risk and inflate development costs.

See how an AI-driven Software Development Lifecycle (SDLC) platform designed for SAP environments embeds structured intelligence directly into development workflows to standardize requirement analysis, generate consistent technical documentation, support disciplined code review, and streamline test preparation while improving traceability across the lifecycle. Understand how to apply these capabilities within existing governance models by walking through use cases such as translating functional specifications into structured technical artifacts and accelerating interface modernization, including migrating from MuleSoft to SAP Integration Suite.

Attendees will learn how to:

• Introduce structured, AI-assisted requirement-to-technical translation within SAP projects.

• Standardize documentation and technical artifact generation across teams.

• Embed guided review and validation workflows into SAP development cycles.

• Automate test case creation and traceability documentation • Reduce rework by enforcing consistent SDLC checkpoints.

• Support structured interface migration from MuleSoft to SAP Integration Suite.

• Track improvements in cycle time, quality, and development cost efficiency.