EY

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AI LeaderAgentic with governance#2

Score

94/100

Grade

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Agentic with governance with strong readiness signals: modern data foundation, retrieval/vector layer, agent framework signal; gaps: no major caps.

Pillar breakdown

01 · Data Foundation Modern MDS, warehouse/lakehouse, orchestration, ELT, BI, vector/retrieval infra.	22.5/23	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.	12.3/13	Strong
04 · Eval, Observability, Governance LangSmith, Arize Phoenix, Helicone, DeepEval, guarded-agent language, cross-functional governance.	14.0/14	Strong
05 · AI Hiring Investment / Momentum AI job share & volume, JD tech mentions, AI/GenAI/LLM/agentic project mentions, team breadth.	17.5/22	Competitive
06 · Talent + Leadership Senior agentic roles, AI leadership, senior data roles, Head of Data, exec data-platform roles.	11.8/12	Strong

Stack signals

Tool-mix flags

warehouse/lakehousetransformationdata orchestrationELT/ingestBIretrieval/vectorLLM provider/modelagent frameworkeval/observabilitylegacy analytics

Matched technologies

AWS AthenaAWS BedrockAWS EMRAWS GlueAWS LexAWS QuickSightAWS RedshiftAWS SagemakerAWS Step FunctionsAb InitioAdobe FireflyAgent FrameworksAgenticAgentic WorkflowsAi AgentsAlationAlteryxAnthropic ClaudeApache AirflowApache HudiApache IcebergApache OozieApache ParquetApache SparkArizeArize PhoenixAstronomerAutoGenAutoSysAzure Data FactoryAzure Data LakeAzure HDInsightAzure MLAzure SynapseBERTBMC Control-MBentoMLChromaDBClaude CodeCloudera