For B2C teams receiving more WhatsApp inquiries, respond.io's AI Agents answer questions, qualify leads and route chats based on your instructions. They can also start Workflows for other tasks your business needs, so staff spend less time answering repeated questions and sorting chats manually.
Respond.io's AI Agents answer customer questions and take actions during the conversation. They can qualify leads, save customer details, update Lifecycle stages and route chats. For B2C teams receiving over 500 product or booking inquiries per month, this reduces the work staff need to do before helping a buyer.
For example, an AI Agent can answer a product question, ask about budget and location, check whether the buyer meets your criteria and send the chat to the right team. You define the information it uses, the questions it asks and the actions it can take.
iMotorbike used respond.io's AI Agents to qualify and route inquiries and doubled its lead-handling capacity, with increased sales in the first month.
AI Agents can send chats to a person, team or another AI Agent. They can check who is online and assign chats in rotation or to the team member with the fewest open conversations. This helps B2C teams share incoming purchase or booking inquiries during busy periods.
For example, an AI Agent can qualify a buyer, identify the right branch and send the chat to an online team member with the fewest open conversations. Specify the assignment method and what should happen if the first-choice team is unavailable. Assignment in rotation, called round robin, is the default and works within one team.
If you’re using Workflows instead of AI Agents for assignment, Workflows let you assign chats only to online staff and set a limit on their open Contacts. For B2C teams facing a surge in inquiries, this adds a clear limit on how much work each person receives.
If nobody meets the conditions, the customer waits in a queue until someone becomes available or the waiting period ends. Define what happens next and tell customers what to expect. Automation reduces manual work, but inquiries that need a person still depend on staff availability.
AI Agents can start existing published Workflows, such as adding a Google Sheets row or sending a Conversions API (CAPI) event for Meta ads. B2C teams can keep using processes they have already set up, with AI determining when to start them during a conversation.
Workflows can also follow a set sequence to collect information and assign chats. The Ask a Question step saves customer answers, while Assign To distributes chats in rotation or to staff with the fewest open Contacts. AI Agents can already qualify and route inquiries directly; use Workflows only where a set sequence suits your process.
Once started, the Workflow runs on its own. Answers collected by the AI Agent are not automatically passed to it, and it does not send results back to the AI Agent. Set up the data it needs within the Workflow, and avoid having both automations send the same message or update the same customer detail.
While Meta applies WhatsApp messaging limits to business-initiated conversations outside the customer service window, it does not cap conversations started by customers. Before a B2C campaign, plan how automation will answer questions, qualify leads and route chats, and who will handle inquiries that need a person.
AI Agents can respond to all inquiries, filter spam, recommend products, share payment links and route qualified buyers to your team so agents spend time only on serious customers.
Respond.io is worth evaluating when your team receives many WhatsApp inquiries across agents or branches and spends too much time answering repeated questions, qualifying leads or assigning chats. AI Agents can handle these tasks and use Workflows for additional processes when needed.
If your team already replies promptly and only needs a basic automatic response, a simpler setup may be enough. Choose automation that addresses the delays you actually face, and test how it handles your customers' questions and next steps.