How does Conversagent differ from traditional chatbots?
Conversagent uses modern language AI with structured guardrails and approved knowledge, ensuring natural and accurate conversations. Unlike traditional chatbots that rely on rigid rules, it focuses on brand-safe interactions, measurable performance, and continuous improvement, rather than simple 'install and forget' solutions.
Can Conversagent handle both sales and support functions?
Yes, Conversagent deploys both AI Sales Agents to guide shoppers, recommend products, and increase conversion, and AI Support Agents to resolve common inquiries, reduce ticket volume, and triage complex cases to humans. It can also support omnichannel and in-store experiences.
What is the pricing model for Conversagent?
Pricing is typically usage-based, aligned to the number of customer conversations and channels. This model makes forecasting simpler than token-based billing. Custom builds may also have specific setup and managed service requirements.
Can Conversagent integrate with existing business systems?
Yes, Conversagent can integrate with CRMs like HubSpot for lead capture and workflow triggers, as well as calendar and appointment scheduling systems. It also supports custom integrations via APIs to look up customer/order details, availability, or other operational data.
Does Conversagent offer voice agents in addition to web chat?
Yes, Conversagent builds AI agents for both web chat and telephony. This includes inbound call answering and outbound calling use cases like reminders, surveys, and booking prompts, with a focus on natural voice quality and interruption handling.
How does Conversagent prevent wrong answers or 'hallucinations'?
Conversagent reduces risk by using approved sources, retrieval-based answering, guardrails, and response constraints. It also has clear fallback behaviors, such as asking clarifying questions, offering next steps, or escalating to a human when uncertain.