Context
Network claims and adjacent flows (OPD reimbursement, FinOps, customer service, audit) span multiple systems and teams with overlapping data.
Business problem
End-to-end visibility was weak. Automation attempts stalled because no one owned the workflow map from intake to settlement and audit.
User or operational pain
PMs and ops leads could not prioritize AI investments without a clear picture of failure modes, handoffs, and blast radius.
Product intervention
Agentic workflow mapping: decompose journeys, identify tool-ready steps, define HITL checkpoints, and sequence pilots by economic and risk leverage.
AI capability used
Tool-calling agents for retrieval, validation, and draft actions; RAG over policy and SOP corpora; structured outputs for downstream systems.
Samadhan's role
Samadhan led product discovery, agent scope definition, success metrics, and cross-functional governance for production pilots.
Business outcome
Clearer automation roadmap, prioritized use cases with cost-per-run estimates, and initial production agents with observability and rollback plans.
Lessons for other companies
Map the workflow before buying models. Agent value is bounded by tool quality and permissions—not prompt cleverness alone.
Related service: AI Agents Consulting · Insights
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