Capturing lost leads by resolving specific technical objections in real time

A potential customer arrives at a pricing or service page with a specific technical constraint. They need to know if a particular insurance policy covers a specific medical device, or if a software platform integrates with a legacy database version. If the answer requires a search through a 20 page PDF or a 20 minute wait on a support line, the lead usually leaves. This is the specific inquiry bottleneck. High stakes service sales often stall because the distance between a customer question and a verified answer is too wide. This friction contributes to the momentum mirage where interest fades before a response arrives.

Most automated systems fail here because they rely on rigid decision trees or generic models that lack the specific context of the business. Duvi changes this by anchoring the agent knowledge to the actual documentation of the company. The system crawls the website and parses uploaded files into a vector store. When a customer asks about a niche policy detail on the website or via a phone call, the agent retrieves the answer from the approved material. The response is grounded in the facts of the business. This approach is essential for solving knowledge divergence between phone and web support.

Transitioning between channels creates a second point of friction. A customer might start a conversation on a website chat and then need to leave their desk. They move to WhatsApp to continue the inquiry. Duvi maintains the same agent and the same knowledge base across the website and mobile channels. This prevents the channel silo tax that occurs when different platforms use different logic. If a customer calls the business number, the voice agent has access to the same information used in the chat. The business connects its own number or WhatsApp business account through providers like Twilio or Meta. Brand identity remains consistent regardless of the medium. We solve for the fact that chat prompts often fail on a phone call by using models tuned for verbal communication.

The utility of an agent extends beyond providing information. Answering a question about availability should lead directly to a booking. Duvi agents can act by calling HTTP APIs and MCP servers to connect with tools like Salesforce. If a customer confirms they want to proceed with a service after a technical hurdle is cleared, the agent can trigger a workflow to create a lead in a CRM or update a database. This removes the manual step of data entry that usually follows a successful support interaction. Resolving these technical hurdles immediately helps fix the phone line bottleneck that costs businesses their marketing efficiency.

Implementation does not require an engineering team. Deploying the agent on a website involves adding a single script tag. The knowledge base is built by providing URLs or documents, which the system processes into a format the agent can use for retrieval. Usage is managed through a credit system, allowing a business to scale the volume of conversations based on demand.

There are cases where a human must intervene. If a conversation reaches a level of complexity that requires a specialist, Duvi allows for a handover to a live person. Every completed conversation is analyzed to find where documentation might be lacking. By identifying these gaps, a business can update its website or files to ensure the agent is better prepared for the next inquiry. This creates a loop where the support volume decreases as the agent becomes more precise.