Intervo AI

Intervo AI is an AI calls tool. Intervo is an open-source, no-code platform for deploying chat and voice AI agents. It covers lead qualification, customer support, receptionist duties and internal help desks, with knowledge training from uploaded files, ElevenLabs or Azure voices, and a choice of OpenAI, Claude or Gemini models.

Intervo is an open-source platform for building chat and voice agents that handle customer conversations. The pitch is aimed at businesses that want LLM-powered agents answering questions, qualifying leads and running first-line support without writing code. A prompt-based builder generates a starting workflow from a short description, and the same agent can appear as a website chat widget or take real phone calls through Twilio. The build process follows four stages: define the agent's purpose with a prompt, upload documents and files to train it on company knowledge, pick a voice, then publish and embed. Voice output comes from third-party engines, specifically ElevenLabs and Microsoft Azure, so tone can be set to professional, friendly or technical depending on the audience. On the reasoning side, Intervo connects to major models including OpenAI, Claude and Gemini, which lets teams swap providers or match model choice to task complexity. AI workflows extend the agent beyond conversation into routine task automation and context-aware responses. The tool is targeted at support and sales teams in growing companies. Named use cases include tier-1 support automation (FAQs, ticket routing, common issue resolution), onboarding walkthroughs, internal help desks for IT, HR and tool access questions, lead qualification against custom criteria, and an AI receptionist for call handling and scheduling. The site also advertises agency adoption, which suggests resellers building agents on behalf of clients are a core audience. Against hosted alternatives, the open-source positioning and self-hosted option are the main differentiators, alongside the ability to mix LLM and voice vendors rather than being locked to one stack. The integration layer is the weak spot today: CRM, telephony and automation connectors are marked as coming soon, with webhooks the practical path for now. Teams demanding deep native CRM sync should factor that into evaluation.