DX vs SAP

DX AI is a conversational interface for exploring an organization's engineering data held in DX, described by the vendor as 'the copilot for engineering leaders.' It answers natural-language questions with generated charts, summarizes qualitative snapshot data into themes and sentiment, and diagnoses the drivers behind metric changes. Its data can also be streamed into external LLM clients via the DX MCP server.

AI Code Insights measures what AI coding agents produce inside an engineering organization, tracking AI-generated code by commit, PR, team, agent and repo from IDE to production. It attributes authorship by monitoring supported coding agents' edits and links them to commits, pull requests and deployments, reporting adoption, delivery velocity, code-quality signals and session-level agent performance. It includes the Agent Experience report, which scores requirements clarity, steering and task scope from the agent's perspective.

Command-line interface to a DX instance, built so coding agents can drive it: it ships an agent skill telling an agent when and how to call the CLI, and covers the same catalog, scorecard and self-service operations a human uses the dashboard for.

Fabric is DX's context layer for AI agents, marketed as 'the context engine for AI-native engineering.' It turns an organization's software catalog into structured, live context that agents can query, and adds scorecards and self-service automation so agents can create services, provision infrastructure and resolve failing standards checks. Context is exposed to any MCP-compatible agent via the DX MCP server.

Natural-language generative-AI copilot embedded across SAP's cloud applications, answering questions and taking actions across HR, finance, supply chain, procurement and customer-experience data.

Embedded machine learning that automates matching of incoming payments to open invoices in accounts receivable, learning continuously from accountants' correction behaviour.

End-to-end intelligent document processing for structured and unstructured business documents, using OCR, pretrained transformers and LLMs to extract and validate data, embedded across SAP applications such as Ariba, S/4HANA Cloud and Concur.

AI assistance for consultants working on SAP implementation and cloud-transformation projects, grounded in a knowledge base of SAP-focused content.

SAP's AI-first development environment for building custom AI agents, apps and workflows with low-code and pro-code tools, powered by the SAP Business AI Platform.

Embedded AI capabilities in SAP Build and ABAP Cloud that generate application code, data models, tests and UI from natural-language prompts, including an SAP-trained ABAP large language model.