SAP

sap.com · Scientific and Technical Services · 116,386 employees

AI LeaderAgentic with governance#22

Score

89/100

Grade

A-

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Agentic with governance with strong readiness signals: modern data foundation, retrieval/vector layer, agent framework signal; gaps: low AI hiring share (14%).

Pillar breakdown

01 · Data Foundation Modern MDS, warehouse/lakehouse, orchestration, ELT, BI, vector/retrieval infra.	21.5/23	Strong
02 · AI-Native Build Capacity LangChain, LlamaIndex, Semantic Kernel, LangGraph, CrewAI, AutoGen, DSPy, MCP, agent-builder tools.	16.0/16	Strong
03 · Stack Balance / Tool Mix Quality AI-native vs MDS ratio, modern vs legacy MDS, coherent data→retrieval→agents→eval sequence.	13.0/13	Strong
04 · Eval, Observability, Governance LangSmith, Arize Phoenix, Helicone, DeepEval, guarded-agent language, cross-functional governance.	9.3/14	Competitive
05 · AI Hiring Investment / Momentum AI job share & volume, JD tech mentions, AI/GenAI/LLM/agentic project mentions, team breadth.	16.9/22	Competitive
06 · Talent + Leadership Senior agentic roles, AI leadership, senior data roles, Head of Data, exec data-platform roles.	12.0/12	Strong

Stack signals

Tool-mix flags

warehouse/lakehousetransformationdata orchestrationBIretrieval/vectorLLM provider/modelagent frameworkeval/observabilitylegacy analytics

Matched technologies

AWS BedrockAWS RedshiftAWS SagemakerAgent FrameworksAgenticAgentic FrameworksAi AgentsAnthropic ClaudeApache AirflowApache ParquetApache SparkAutoGenAzure Data FactoryAzure Data LakeAzure MLBERTBentoMLChromaDBClaude CodeClouderaCollibraCrewAICursorDVCDagsterDataRobotDatabricksDatabricks Unity CatalogDelta LakeFAISSFigma MakeGCP DataprocGCP Vertex AIGitHub CopilotGoogle BigQueryGoogle GeminiHaystackHuggingFaceIBM CognosInformatica PowerCenter / Suite