RingCentral

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AI LeaderAgentic with governance#44

Score

86/100

Grade

A-

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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.	14.8/16	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.	10.7/14	Competitive
05 · AI Hiring Investment / Momentum AI job share & volume, JD tech mentions, AI/GenAI/LLM/agentic project mentions, team breadth.	13.5/22	Partial
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 orchestrationELT/ingestBIretrieval/vectorLLM provider/modelagent frameworkeval/observabilitylegacy analytics

Matched technologies

AWS GlueAWS QuickSightAWS RedshiftAWS SagemakerAWS Step FunctionsAi AgentsAlationAlteryxAnthropic ClaudeApache AirflowApache OozieApache SparkArize PhoenixAutoGenChromaDBClickHouseCollibraDatabricksFAISSFivetranGCP DialogflowGCP Vertex AIGoogle BigQueryGoogle GeminiHuggingFaceIBM CognosInformatica PowerCenter / SuiteLangChainLangGraphLangSmithLlamaIndexLookerMicrosoft Power BIMicrosoft PurviewMistralNVIDIA TensorRTONNXOpenAI ChatGPT / GPTPineconeQdrant