ToolsThe story, in brief

Conversation design: How to make your AI Agent communicate like your team

Your AI agent sounds like ChatGPT. Here's why that's costing you.

Illustration of independent geometric mechanisms passing paper tasks along branching amber tracks.
AI agents and the coordination of work.AI illustration by KeyNews
The KeyNews take

Why it matters

As AI agents proliferate in enterprise workflows, conversation design—the discipline of shaping how agents communicate—is becoming a competitive differentiator. Teams that don't own agent voice risk inconsistent, generic interactions that erode brand trust and user adoption.

The key facts

7 to know
  1. Conversation design emerging as distinct discipline for AI agent deployment

  2. Risk of default LLM communication patterns undermining enterprise adoption

  3. Brand voice consistency tied to agent effectiveness in team workflows

  4. Conversation design as a discipline for AI agent deployment

  5. Risk of default LLM communication patterns in enterprise agents

  6. Team ownership of agent communication strategy

  7. Distinction between generic LLM outputs and branded/customized agent behavior

Go to the source

Intercom Blogintercom.com

Publisher excerpt: If nobody on your team owns how your AI Agent communicates, it defaults to sounding like an LLM. Conversation design is the discipline that fixes that.
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