For Support

AI Agents for Customer Support

Tier-1 deflection with confidence-routed handoff — humans get full context, no re-asking the customer. 65% deflection rate with quality preserved.

Support teams use LeafMesh ADK to orchestrate a tier-1 AI agent (mix of GPT-4 and Claude via capability routing) that handles common requests. When confidence drops below threshold, LeafMesh hands off to a human with the entire conversation, customer history, and the agent's reasoning attached. The result: 65% deflection with no quality drop on escalated cases.

Challenges in Customer Support

  • Quality: deflection must not degrade resolution quality
  • Context loss: humans should never re-ask what the customer already said
  • Multi-channel: agents coordinate across email, chat, voice
  • Escalation paths: clear thresholds for when to route to a human

Production agent patterns

Tier-1 deflection with confidence routing

Pattern

Triage agent → confidence threshold → handoff with context

Outcome

65% deflection rate; full context on escalation

Multi-channel agent coordination

Pattern

Channel-specific agents share state through LeafMesh memory

Outcome

Customer doesn't repeat themselves across channels

Voice + text agent crews

Pattern

Voice agent + transcript-aware text agent + supervisor

Outcome

Consistent quality across modalities

Governance built in

  • ·Confidence threshold drives human handoff
  • ·Full conversation history preserved on escalation
  • ·Human override always wins; override logged for retraining
  • ·Sentiment and quality scoring on every agent interaction

Vendor-agnostic LLM mix

  • ·GPT-4 (reasoning)
  • ·Claude (long-context)
  • ·Smaller fast models for routing

Frequently asked

How does confidence-based handoff work?

Each agent decision includes a confidence score. LeafMesh policy compares the score to a threshold; below threshold, the conversation is routed to a human with full context (transcript, customer history, agent reasoning). The human sees what the agent saw.

Can LeafMesh route to humans across channels?

Yes. LeafMesh integrates with support platforms (Zendesk, Intercom, Salesforce) so escalations route to the right human queue with full context attached. The agent also leaves a clear summary so the human is up to speed in seconds.

Want to deploy AI agents in Support?

Talk to our team about your support use cases — or try the platform yourself.

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