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LegenyxLEGENYX
Research
Think Engine9 min read

The Agent Routing Problem: Why Generic Chatbots Fail in Production

Sales, support, architecture, and scoping are fundamentally different conversations. We solved this with intent-classified agent routing.

Austin Kalaydjian
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The Agent Routing Problem: Why Generic Chatbots Fail in Production

One Chatbot, Many Problems

A single AI assistant trying to handle sales inquiries, technical support, project scoping, and architecture consultation will fail at all of them. These are different domains with different tones, knowledge bases, and goals.

The Routing Solution

The Legenyx Think Engine classifies every inbound message into one of seven agent categories:

  • Sales Agent: Qualification, pricing, demos
  • Support Agent: Troubleshooting, documentation queries
  • Audit Agent: System analysis, code review
  • Architecture Agent: System design, technical decisions
  • Research Agent: Deep analysis, market intelligence
  • Project Scoping Agent: Requirements gathering, estimation
  • Proposal Agent: Scope-to-proposal generation

Measured Impact

Intent classification accuracy: 96%. Average time to correct agent routing: under 200ms. User satisfaction by agent alignment: +35%.