AI Enquiry Agent That

SalesCode.ai’s AI Enquiry Agent is a customer-facing AI business agent that learns from your company’s product, service and business information and uses it to handle enquiries in real time. It acts as an always-available first point of contact for people exploring your business, comparing offerings or looking for support.

The agent can explain products and services, answer detailed questions, ask follow-up questions to understand requirements, recommend relevant options, capture contact details and qualify leads. It can also handle repetitive support enquiries and hand conversations to human teams when specialist input or further action is needed.

Trained using your documents, files, URLs, notes and other business knowledge, it can operate across supported website, WhatsApp and voice experiences. Businesses in any industry can train and deploy it in 3 clicks, with multilingual, simultaneous conversations available around the clock. This helps customers move from an initial question to a useful answer or an informed sales conversation.

You train the AI Enquiry Agent by providing the information it needs to represent your business: documents, files, website URLs, notes, product catalogues, service descriptions, FAQs and approved policies. This creates the business knowledge it can reference when responding to customers.

During a conversation, the agent uses that knowledge to interpret the enquiry, explain relevant details and ask clarifying questions where necessary. For example, a customer comparing two products can ask about their specifications, differences and suitability for a stated requirement, provided those details are covered in your information.

Using the same configured knowledge across conversations helps keep answers consistent. The depth and quality of its responses depend on the completeness and clarity of your source material. Questions involving missing information, conflicting policies or specialist judgment can be passed to your team.

Yes. SalesCode.ai’s AI Enquiry Agent can be trained for any business or industry because its responses are built around that company’s own information and enquiry requirements. Its role can be adapted to what customers need to understand before buying, requesting a service or speaking with a representative.

A manufacturer could use it to explain specifications and capture bulk-purchase requirements. An education provider could answer questions about courses, admissions and fees. A real estate business could explain listed properties and capture buyer preferences. A professional services firm could help prospects understand its services and identify the right area of support.

As an AI agent for FMCG and CPG, it can address retailer, distributor and consumer enquiries about product ranges, pack sizes, documented schemes and distribution opportunities. Each deployment uses the knowledge and conversation scope defined for that business.

SalesCode.ai’s AI Enquiry Agent can be trained and deployed in 3 clicks. The guided journey lets you provide your business information, launch the agent and experience it answering a real enquiry, without building an AI model from scratch.

To make that first experience useful, start with current product or service information and the questions your customers ask most often. Your content gives the agent the business context it needs to explain your offerings and respond meaningfully.

For a customer-facing rollout, review sample conversations, confirm the scope of its answers and define when your team should take over. Website installation, WhatsApp connections, CRM or ERP integrations and custom enterprise workflows may require additional configuration or technical support. The three-click AI agent deployment is the starting point; the wider rollout depends on the channels and processes you want to connect.

The AI Enquiry Agent can move an enquiry forward by understanding what the customer needs, asking relevant questions and recommending options from your configured product or service information. It can capture details such as product interest, intended use, location, quantity and buying timeline, based on the qualification criteria you define.

For example, a customer asking about a manufacturer’s product range could be asked about the application, required quantity and delivery location. The agent can then explain relevant options and collect contact details for a sales conversation. Your salesperson receives an enquiry with useful context for follow-up.

This combines AI lead qualification with product discovery. As an AI sales agent for inbound enquiries, it reduces repetitive discovery work and helps prospects understand your offering before a salesperson becomes involved. Its contribution to AI sales automation is better enquiry handling and preparation for the next sales step.