Running intake automation across five or fifty clients requires structure. BizSage provides client-level separation and centralized oversight so agencies can scale AI receptionist deployments without tool sprawl.
An AI receptionist should follow the client’s real workflow. Agencies can configure qualification prompts, required fields, and escalation triggers so each deployment reflects how that business operates.
When the AI receptionist collects details, submissions appear inside the Lead Hub pipeline. Agencies can track stage movement, archive outcomes, and maintain visibility across clients.
An AI receptionist is an AI agent that handles inbound conversations, qualifies visitors, and captures structured information before escalation.
A customer service chatbot answers support questions. An AI receptionist focuses on intake, qualification, and routing new opportunities.
Yes. Agencies deploy the AI receptionist under their own brand.
It can handle repetitive intake and first-response workflows. Agencies can configure when escalation to a human is required.
Yes. AI receptionist deployments are common for service providers that rely on inbound leads.
Yes. Agencies define which fields are required during qualification.
Leads appear inside the Lead Hub where agencies can manage pipeline stages.
BizSage currently focuses on chat-based AI receptionist deployments. Voice AI agent workflows can be layered into future integrations
Most agencies charge a setup fee plus ongoing monthly management and optimization.
Most agencies can deploy an AI receptionist within hours using existing client service descriptions and qualification criteria.