Use case

Grounded customer support assistant

Radiantze grounds support answers in product documentation so agents and customers get cited, accurate replies.

Customer answers grounded in product documentation

Radiantze builds a RAG assistant over product docs, FAQs, and release notes that suggests replies or self-service answers with citations.

Low-confidence queries escalate to agents. Product-scoped retrieval and a freshness cadence keep answers tied to the right SKU docs as manuals and policies update.

Illustration of a grounded customer support assistant answering product questions from documentation

Insight

Product-scoped

Retrieval. Answers limited to relevant SKU or product line docs.

Insight

Agent assist

Workflow. Suggested replies agents edit before sending.

Insight

Escalation

Safety net. Low-confidence queries route to human agents.

Partnership

Radiantze rollout pattern

Support retrieval stays current through document freshness, product-level filtering, and agent feedback that closes content gaps.

  • Consolidate KB, manuals, and release notes per product line.
  • Define escalation thresholds and handoff to live agents.
  • Pilot as agent-assist before customer-facing self-service.
  • Track deflection, handle time, and citation accuracy.

Outcome

Enterprise outcome

Faster resolution on routine questions with fewer incorrect spec answers reaching customers.

Radiantze capability stack

Doc ingestion

KB articles and product manuals indexed with version metadata for product-scoped retrieval.

Agent assist UI

Suggested replies with editable citations inside the ticket view agents already work in.

Self-service widget

Optional customer chat that returns grounded, cited answers and escalates when unsure.