Start as a productized implementation service that builds and tunes one production RAG^? workflow for a buyer’s highest-value knowledge use case. The service includes source discovery, ingestion design, chunking strategy, vector or hybrid search setup, reranking, guardrails, citation accuracy testing, and an evaluation harness. Over time, repeatable templates for connectors, eval suites, permission-aware indexing, and retrieval diagnostics can become a reusable product layer.

Enterprise AI efforts are moving from demos to deployed agents, and retrieval quality is becoming the bottleneck. The signals show demand for RAG^?, GraphRAG, agentic retrieval, evaluation, and grounding across tech, public sector, marketing, construction, compliance, security, and support workflows.