Anvik AI
Case study

Customer support copilot

Use grounded product and process knowledge to improve first-response quality and escalation flow.

Support teams often switch across tickets, product notes, known issues, SOPs, and internal guidance. Anvik connects those sources into a response layer that helps teams act faster without losing accuracy.

Impact snapshot
First response
faster and more grounded
Escalations
cleaner handoff quality
Consistency
better across teams
What made the problem difficult

Why this problem is hard.

The answer to a ticket often lived across product notes, prior cases, handling SOPs, and internal discussions.

Teams needed guidance that was fast enough for operations but still grounded in approved knowledge.

Escalation quality depended heavily on who handled the ticket first.

What Anvik delivered

What we built.

Ticket-aware retrieval
  • Ticket context classified into product area, issue type, and operating signals
  • Relevant SOPs and handling notes surfaced with evidence snippets
  • Grounded recommended next steps based on approved material
Agentic first-response workflow
  • Suggested clarifying questions when evidence was incomplete
  • Structured escalation with attached context and evidence path
  • Consistent handling templates across support teams
Operational feedback loop
  • Repeated failure patterns identified for knowledge-base improvement
  • Coverage reporting on playbooks and issue categories
  • Governance over what the assistant could and could not say
Operational outcomes

What changed.

Faster first-response assistance for recurring issues

Cleaner escalations with better context transfer

More consistent customer-facing responses across agents