Visa

visa.com · Finance and Insurance · 35,092 employees

AI LeaderBuild-ready, weak eval#40

Score

86/100

Grade

A-

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Build-ready, weak eval with strong readiness signals: modern data foundation, retrieval/vector layer, agent framework signal; gaps: no eval/observability.

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.	11.5/13	Strong
04 · Eval, Observability, Governance LangSmith, Arize Phoenix, Helicone, DeepEval, guarded-agent language, cross-functional governance.	7.0/14	Partial
05 · AI Hiring Investment / Momentum AI job share & volume, JD tech mentions, AI/GenAI/LLM/agentic project mentions, team breadth.	18.0/22	Strong
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 frameworklegacy analytics

Matched technologies

AWS AthenaAWS BedrockAWS EMRAWS GlueAWS Glue Data CatalogAWS RedshiftAWS SagemakerAWS Step FunctionsAb InitioAgent FrameworksAgenticAgentic SystemsAi AgentsAnthropic ClaudeApache AirflowApache HudiApache IcebergApache OozieApache ParquetApache SparkApache SupersetAutoGenAzure Data FactoryAzure Data LakeAzure MLAzure SynapseBMC Control-MChromaDBClaude CodeClickHouseClouderaCrewAICursorDagsterDatabricksDatabricks Unity CatalogDelta LakeFAISSFigma MakeGCP Dataproc