# How to Build an AI Lead Qualification Agent in ZazzyAgent A lead qualification AI Agent helps your business understand whether a prospect is a good fit before a salesperson takes over. Instead of asking every customer the same questions manually, the AI can have a natural conversation and collect structured information. A typical workflow is: **Customer enquiry** ↓ **AI qualification** ↓ **Collect information** ↓ **Save customer data** ↓ **Classify lead** ↓ **Start follow-up** ↓ **Assign sales** ## What information should the agent collect? That depends on your business. A B2B sales agent might collect: * Name * Company * Business type * Requirement * Budget * Timeline A real estate agent might collect: * Location * Property type * Budget * Bedrooms * Purchase timeline An ecommerce agent might collect: * Product interest * Budget * Size * Color ## Step 1: Create the agent Create an AI Agent called: > Lead Qualification Agent Give it a narrow responsibility: > Qualify incoming leads, collect relevant information, classify the lead, and route qualified leads to sales. ## Step 2: Connect your knowledge Give the agent the business information it needs. For example: * Products * Services * Pricing information * Eligibility requirements * FAQs * Sales process Don't put customer-specific or live information into static knowledge when it needs to come from an action or external system. ## Step 3: Define the qualification questions Tell the agent exactly what information matters. Example: ```text Collect the following information when relevant: - Name - Company - Requirement - Approximate budget - Purchase timeline ``` ## Step 4: Tell the agent how to ask Don't make the AI ask everything in one message. Use: ```text Ask one or two questions at a time. Do not ask for information the customer has already provided. Keep the conversation natural. Do not make the customer feel like they are completing a long form. ``` ## Step 5: Save the information Use the custom-field action. For example: ```text When the customer provides their company name, save it to the Company custom field. ##save_custom_field## : 42 ``` Repeat for the fields that matter. See [How AI Agents Save Customer Information in ZazzyAgent](https://blog.zazzyagent.com/ai-agent-save-custom-fields-zazzyagent). ## Step 6: Classify the lead You can use labels. For example: ```text When the customer meets the qualification criteria, add the Qualified Lead label. ##add_label## : 12 ``` You could have: * New Lead * Qualified Lead * High Intent * Enterprise * Follow-up Required See [How to Add and Remove Customer Labels With ZazzyAgent AI Agents](https://blog.zazzyagent.com/ai-agent-add-remove-labels-zazzyagent). ## Step 7: Start a follow-up sequence When the customer is qualified but isn't ready for immediate human contact, start a sequence. ```text When the customer is qualified but does not require immediate human assistance, start the Qualified Lead Follow-up sequence. ##assign_sequence## : 8 ``` See [How to Start a WhatsApp Sequence From a ZazzyAgent AI Agent](https://blog.zazzyagent.com/ai-agent-assign-sequence-zazzyagent). ## Step 8: Assign high-value leads to sales If the lead meets your high-value criteria: ```text When the customer meets the high-value lead criteria, assign the conversation to the Sales team. ##assign_human_role## : 3 ``` ## Step 9: Add an internal note Give the salesperson useful context. ```text ##add_note## : Qualified lead. Customer is interested in Enterprise and has a budget above the standard qualification threshold. ``` See [How AI Agents Add Internal Notes in ZazzyAgent](https://blog.zazzyagent.com/ai-agent-add-internal-notes-zazzyagent). ## Step 10: Write the System Prompt A practical starting point: ```text You are the Lead Qualification Agent for our company. Your job is to understand incoming enquiries, collect the information needed by our sales team, qualify the lead, and route qualified leads appropriately. COMMUNICATION Be friendly, professional and conversational. Ask one or two questions at a time. Do not ask for information the customer has already provided. Do not make the conversation feel like a long form. INFORMATION TO COLLECT Collect when relevant: - Name - Company - Requirement - Approximate budget - Purchase timeline CUSTOMER DATA When the customer clearly provides information that should be retained, save it to the appropriate custom field. QUALIFICATION A qualified lead should meet the business criteria defined below. Do not classify a customer as qualified based on a guess or a single vague statement. HIGH INTENT Classify a lead as high intent only when the customer clearly indicates a serious intention to move forward. When appropriate: ##add_label## : 12 FOLLOW-UP When a qualified lead is not ready for immediate human assistance, start the appropriate follow-up sequence. ##assign_sequence## : 8 SALES HANDOFF When a high-value lead requires human sales assistance, assign the conversation to the Sales team. ##assign_human_role## : 3 INTERNAL CONTEXT When handing a qualified lead to sales, add a short internal note summarizing the useful qualification information. ##add_note## : Qualified lead. Review the customer information before contacting them. RESTRICTIONS Never invent customer information. Never invent pricing, product availability or business policies. Do not mark a lead as qualified when required information is missing. If the customer asks something outside your responsibility, route the conversation appropriately. ``` ## Don't make qualification too rigid Not every customer gives information in the exact order you expect. Customer: > I'm Rahul from ABC Technologies. We're looking for a solution for about 30 employees and want to get started this month. Your AI should recognize that the customer has already provided several pieces of qualification data. It shouldn't ask: > What's your company? again. ## Don't ask unnecessary questions If the customer already has strong buying intent, don't waste time asking questions that don't affect the sales process. The best qualification conversation feels like a helpful conversation. ## Use AI for the conversation, fields for the data This is a powerful pattern. The AI handles: > Understanding the customer. Custom fields handle: > Structured customer information. Labels handle: > Customer classification. Sequences handle: > Follow-up. Human assignment handles: > Sales intervention. ## Example lead journey ```text Customer ↓ AI Lead Qualification ↓ Collect information ↓ Save custom fields ↓ Qualification decision ↓ Qualified? ↓ ↓ Yes No ↓ ↓ Label Follow-up ↓ Sales Team ``` ## Test your qualification agent Try: > Hi > I want to know what you offer. > We need this for a company of 50 people. > Our budget is around ₹1 lakh. > We'd like to start next month. > I want to speak with sales. The agent should progressively build the lead profile rather than restarting the questionnaire every time. ## Test incomplete leads Customer: > I might be interested. The agent should not automatically classify this as high intent. It can continue the conversation and ask a useful question. ## Test customers who aren't qualified A good agent should not push every person toward sales. If the customer clearly doesn't meet the business criteria, the agent can provide the appropriate information without pretending that they're a high-value lead. ## The goal A good lead qualification agent should make your sales team say: > "I already know why this person contacted us, what they need, how serious they are, and what we should do next." That's the real value of the automation. [zazzyagent.com](http://zazzyagent.com)