Respond.io: AI Agents for Chat & Voice - Human-style conversations, automated at scale

Hi everyone! 👋 We’re excited to share a major update to respond.io.

Over the past few years, many of our customers told us the same thing:

“We’re getting more messages than our team can handle.”

Chats were growing faster than teams, and delivering a consistent experience at scale was becoming harder.

So we made a big decision:

Expand respond.io with major new AI and voice capabilities that act like real team members, across both chat and calls. These updates are a result of that work.

What’s new in respond.io (and our AI agents) 🤖
Our AI agents can now:

• Answer voice calls, speak naturally, and generate call records

• Transcribe and summarize calls for clear handovers

• Manage full chat interactions: answer questions, follow up, close chats, and add comments

• Route conversations to humans or other AI agents

• Understand audio notes, read PDFs, and update contact fields

• Use GPT-5.1, multi-agent orchestration, and advanced reranking for accurate responses

• Pull from multiple knowledge formats, including websites with scheduled re-crawls

• Use respond.io’s MCP server or integrate with tools like n8n to extend AI capabilities

• Run inside a robust testing environment for experimenting with instructions and file inputs

And, of course, human agents can step in at any time.

Who this is for 🎯
Teams that market, sell, or support customers over chat at scale — especially high-volume B2C businesses on WhatsApp, Messenger, Instagram, Telegram, and more.

We’d love your feedback
This update represents months of engineering, customer conversations, and iteration.
Try a free trial, book a demo, or tell us what features you’d love to see next.

Thanks so much for checking us out! 🚀