Protecting engineering resources by automating technical hardware compatibility checks
Reduce engineering workload by using AI agents grounded in technical documentation to answer hardware compatibility questions across phone and web channels.
Senior engineers often spend a quarter of their week answering basic hardware compatibility questions. When a customer cannot find a specific voltage requirement or a mounting dimension on a website, they call the office. If the front desk cannot answer, the call goes to a specialist. This chain of communication costs the business hundreds of dollars in lost productivity for a single yes or no answer.
Most of these answers already exist within the technical manuals and PDF specifications stored on the company website. Information is usually available, but it is often inaccessible when a customer is standing in a warehouse or a job site. Hiding your knowledge base behind contact forms creates unnecessary hurdles for buyers who just need a specific tolerance or material grade.
A business can deploy a Duvi agent by adding a single script tag to their site. The agent crawls the existing documentation and parses the text into a vector store. This process ensures that when a customer asks about a specific part number or a thermal limit, the agent provides a response grounded in the actual technical files. It does not guess based on general training data. Using agents grounded in documentation helps resolve technical uncertainty that leads to high value cart abandonment.
Technical inquiries rarely happen on a single channel. A contractor might start a search on a laptop but finish the conversation on WhatsApp while driving. Duvi allows the business to connect the same agent to a WhatsApp Business account or a phone number via providers like Twilio. Bridging the gap between website documentation and mobile messaging ensures the customer receives the same technical constraints whether they are typing a message or speaking to a voice agent. This prevents knowledge divergence where different channels provide conflicting answers.
When a customer calls a dedicated phone line, the agent handles the initial technical screening. If the agent confirms the product meets the customer requirements, it can then act on that information. The agent can use an HTTP API call to check current stock levels in a warehouse management system. If the item is in stock and the technical requirements are met, the agent can then route the call to a human for final pricing or shipping logistics. Connecting voice agents to internal APIs reduces the labor costs associated with manual inventory lookups.
This setup prevents the context reset that usually happens when a lead moves from a website to a phone call. The business can sync the conversation data with Salesforce to ensure the sales rep knows exactly which technical specs were already verified. This prevents the customer from repeating their hardware model or power requirements for the third time. Automation helps eliminate the discovery phase by gathering serial numbers and versions before a human joins the call.
Launching these agents requires no engineering work from the business side. Usage is managed through credits. The system handles the voice processing for live calls and the asynchronous messaging for WhatsApp. Recording and analyzing these completed conversations provides insights into which technical documents are unclear or which products have the most frequent compatibility concerns. For teams in the field, providing technical documentation via voice can replace dozens of daily phone calls to the engineering department.
Automating the first layer of technical support preserves the time of senior staff. They only interact with leads who have already passed the basic technical hurdles. This increases the total volume of inquiries the business can handle without increasing the headcount of the engineering or support departments.