Results

Real workflows. Real production. Real ops teams.

Every Sprint delivers a live agent before the 2 weeks are up. Here is what that looks like across verticals — challenge, solution, and results.

All cases below are illustrative examples based on the types of workflows we deliver. Real client names are kept confidential.

The challenge

The ops team was handling 300+ daily patient queries across WhatsApp and internal Telegram groups manually. Queries ranged from appointment scheduling and document requests to insurance clarification — all routed through 4–5 admin staff with no structured triage system.

What we built

A Telegram-first agent was deployed in Week 1 of the Sprint to handle structured intake: appointment type, patient ID, and query category. The agent triages, routes to the right department or staff member, and coordinates follow-ups. Clinical questions are explicitly out of scope — the agent escalates to a named human immediately.

Results

  • 60% reduction in manual support queue backlog within 3 weeks
  • Admin team redirected ~2 hours/day to higher-value coordination tasks
  • Zero clinical decision-making by the agent — all escalation guardrails held
  • Audit trail of all conversations stored in Supabase for ops review
Stack: Telegram Bot · OpenClaw · Supabase · Human escalation queue

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