Three production-ready POC designs addressing critical data engineering and AI challenges for Salesforce's Employee Success (ES) People Analytics team.
Salesforce's ES team manages employee data across 15+ HR systems, struggles with inconsistent metric definitions, and needs agentic AI to move from static reporting to conversational, proactive insight delivery.
| POC | What It Solves | Key Pattern |
|---|---|---|
| ES Data360 Unifier | Siloed HR data, PII governance overhead, identity resolution | Metadata-driven integration with automated governance |
| ES Metrics Semantic Layer | Conflicting metric definitions, reporting bottleneck | Centralized, versioned metric engine with lineage tracking |
| ES Pulse Agent | Static reports, no proactive alerting, unused unstructured data | Agentic RAG with adaptive reasoning and guardrails |
Together they form a complete data-to-AI pipeline: integrate the data → define trusted metrics → deliver intelligent insights.
Each POC includes detailed architecture diagrams, technical approach with code samples, Salesforce platform mapping, phased implementation roadmaps, and expected impact metrics.
Prepared by Roopmathi (Ruby) Gunna — Senior Data Engineer specializing in enterprise data platforms and agentic AI.