Famulor
Famulor is a no-code conversational AI platform that automates inbound call reception, outbound voice campaigns, and omnichannel messaging across voice, chat, and email.
Famulor is a no-code conversational AI platform that automates inbound call reception, outbound voice campaigns, and omnichannel messaging across voice, chat, and email.
What the product does and how it is positioned
Famulor provides an AI voice and messaging agent platform developed by BEK Service GmbH. The platform enables organizations to design automated voice agents that answer inbound calls, conduct outbound calling campaigns, and execute text-based follow-ups across messaging channels including WhatsApp, SMS, and email.
Agents are constructed in a visual browser-based flow builder and draw information from centralized knowledge bases comprising uploaded files and synchronized website crawls. The platform supports multilingual interactions, integration with multiple calendar systems and customer relationship management tools, and live call supervision tools such as listening in, whispering, and taking over calls.
Source-supported ways to use the product
Handling inbound inquiries, screening callers, answering questions from knowledge documentation, and booking calendar appointments directly during the call.
Placing automated outbound voice calls from CRM records within designated time windows, retrying unanswered calls, and transferring conversations to WhatsApp or SMS.
Addressing routine support questions across phone calls, website widgets, and messaging tools with live transcript generation and post-call sentiment analysis.
The documented workflow, where available
Design conversational logic visually in the browser flow builder, choosing from voice models and setting multi-language handling.
Connect documentation such as PDFs, run automated website crawls, and integrate target calendar systems for scheduling.
Provision phone numbers across supported countries or connect an existing telephony setup via SIP trunk integration.
Execute a verification test call to evaluate the agent before publishing and routing live production customer calls.
Famulor centralizes agent behavior by running a single conversation design and knowledge repository across telephony and digital communication channels. An agent built within the flow builder can converse over standard phone lines while coordinating follow-up messaging over WhatsApp, SMS, email, Slack, and Microsoft Teams without maintaining disparate configurations.
Operational oversight includes live call monitoring capabilities where human operators can listen in, whisper guidance to the agent, or take over calls. Transcripts feature automatic redaction of personally identifiable information on write, accompanied by post-call sentiment scoring, goal completion tracking, and configurable data retention.
Checks to run with your own material and workflow
What was checked and when
Answers based on the source-checked product record
Famulor routes incoming calls to an AI agent designed via the visual flow builder. The agent answers callers, references the shared knowledge base, gathers required information fields, and schedules appointments on connected calendars.
Yes, Famulor supports outbound voice campaigns that parallel-dial contacts from CRM records or lead lists within designated calling windows, handle voicemail retries, and trigger follow-ups across messaging channels.
The platform supports 120 languages with mid-call switching capabilities and includes a catalog of over 10,000 voices powered by providers like Cartesia, ElevenLabs, and OpenAI, alongside voice cloning options.
Call recording begins only after the caller grants consent. Transcripts have personally identifiable data redacted upon write, and workspaces can select specific AI processing regions such as EU Only, US Only, or Global.
Famulor connects with calendar systems including Cal.com, Calendly, and eTermin, as well as CRM platforms such as Salesforce, HubSpot, and HighLevel, alongside support for REST APIs, webhooks, and MCP connectors.