Solving Knowledge Divergence Between Phone and Web Support

The Cost of Fragmented Information

Support teams often spend forty percent of their budget maintaining different versions of the same information. One version lives in the phone script used by the call center. Another exists in the help desk articles on the website. A third is buried in internal Slack channels or PDFs. When a policy changes, the team must update every location manually. This leads to situations where a customer hears one price on the phone and sees a different one in the chat widget. Such knowledge drift between phone lines and website content creates friction and kills customer trust.

A Single Source of Truth

Duvi addresses this by using a single agent that acts as a central source of truth for every channel. You provide the knowledge by pointing the system at your website or uploading your technical files. The system crawls the pages and parses the documents into a vector store. Because the same knowledge base feeds the phone line and the WhatsApp account as well as the web chat, the answers remain identical across every surface. Grounding AI agents in documentation ensures they stay within the bounds of your verified data.

Removing Integration Barriers

Maintaining a support agent usually requires engineering resources to build custom integrations for each platform. Duvi removes this requirement. You connect a Twilio phone number or a Meta WhatsApp Business account directly through the interface. For the website, you add one script tag. The agent handles async messages on WhatsApp and the web while managing live voice on the phone. A reply always goes back on the channel the customer used to reach out. This setup helps manage customer support logic across phone and web channels without a dedicated development team.

Executing Business Actions

An agent that only answers questions has limited value. If a customer calls to change a booking or check an order status, the agent needs to perform an action. Duvi agents use tools to interact with your business logic. They can call your own HTTP APIs, connect to MCP servers, or update records in Salesforce. If a user asks to update their email address on WhatsApp, the agent executes the change in your database. If the same user calls the phone number later to confirm, the agent sees the updated record. Moving beyond static answers to actions driven by APIs allows for real resolution rather than simple FAQ search. This also eliminates the conversation persistence tax where losing customer context resets the time it takes to resolve a problem.

Logic Control and Constraints

The logic of these interactions is controlled by a system prompt. In the Duvi Studio, you write this prompt in six distinct blocks. You keep the facts in the knowledge base and use the prompt to define the rules for the agent. Every rule should have a reason attached to it. This structure prevents the agent from guessing and ensures it follows your specific business processes. You can tune the prompt specifically for voice to ensure the agent is concise when speaking to a caller. This precision is necessary when managing lead qualification latency across multiple communication paths.

Handling Demand Without Head Count

Large volumes of calls often lead to long wait times and missed leads. An AI agent handles these spikes without increasing the head count. If a conversation becomes too complex or a customer asks for a person, the agent can hand the chat over to a human. For phone calls, the system can record the audio. Completed conversations are then processed into analytics. This gives you a clear view of common failure modes or gaps in your documentation. Implementation happens without a long development cycle. You do not need to build a new backend for each channel. The usage is managed through credits, which allows you to scale the volume up or down based on seasonal demand. By unifying the knowledge and the tools in one place, you ensure that your customer support is consistent whether the user is typing on a laptop or speaking into a phone.