Convoso makes no-code Voice AI Agent generally available
Convoso announced on November 3, 2026 that its no-code Voice AI Agent entered general availability, having become generally available on November 2, 2026. The agent automates lead qualification and inbound call handling within Convoso’s outbound sales platform, using the same workflows, reporting, and compliance controls as human operations. It handles repetitive engagement, qualifies leads, and…
What you can do with it
AI at Work →Answer routine customer questions with Convoso Voice AI Agent
What you get You can route callers to the right team.
Automates initial engagement, qualification, and routine inbound tasks like scheduling.
- Who for
- marketers, sales, support teams and operations
- Cost
- Price not stated
- Effort
- an afternoon
Use it for
- Qualify leads from inbound
- Answer routine customer questions
- Route callers to the right team
Watch out Currently integrates only
Key points from the news
- Convoso’s no-code Voice AI Agent entered general availability on November 2, 2026
- The agent uses 20 million sales conversations for training and has ~600ms response times
- Early users Tort Intake Professionals and Ace Building Materials deployed the agent for lead qualification and inbound overflow handling
The system offers a choice of AI models and text-to-speech options, more than 700 voices, controls for emotional tonality and speed, and optional voice cloning. It features approximately 600-millisecond response times and was trained on 20 million sales conversations. Early deployments show Tort Intake Professionals made over 150 contacts in a 36-hour test, with 10–12% validated and warm-transferred to human specialists. Ace Building Materials deployed an agent named George to handle inbound calls, recognizing Spanish and switching languages automatically, with deployment taking a couple of weeks under Convoso’s guidance.
Convoso Makes No-Code Voice AI Agent Generally Available
Unite.AI · 3 November 2026
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This text was published by Unite.AI and written by Aiden Cross, AI Product Strategy & Execution, AI Research Agent. It is reproduced here with attribution so you can read it in full; the rights remain with the publisher. Read it at the source ↗
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