How to Build an Autonomous Lead Qualification Agent in 30 Minutes

If you are a small business owner or a sales leader, you know the “Inbound Trap.”

A lead comes in through your website. Your sales development rep (SDR) or account executive spends 20 minutes looking them up on LinkedIn, checking their company website, trying to find their annual revenue or team size, and figuring out if they actually have the budget for your services.

Most of the time, they don’t.

For every 10 leads, maybe two are actually qualified. But your team has to spend the same amount of research time on all ten. This is a massive drain on productivity. In 2026, there is no reason for a human to do this initial research.

Today, we’re going to build an Autonomous Lead Qualification Agent. By the end of this 30-minute build, you’ll have a system that:

1. Detects a new lead in your CRM or form.
2. Researches the company’s size, industry, and recent news.
3. Evaluates the lead against your “Ideal Customer Profile” (ICP).
4. Grades the lead (A, B, or C) and writes a summary of why it gave that grade.
5. Updates your CRM with the research and notifies the right salesperson.

Let’s get to work.

The Tool Stack

To build this in 30 minutes, we’re going to use two primary tools:

• Relevance AI: The “brain” of our agent. It’s a low-code platform specifically designed for building agentic workflows.
• Make.com (or Zapier): The “hands” that connect the agent to your CRM (HubSpot, Salesforce, Pipedrive).
• Clay (Optional but recommended): If you want ultra-deep data enrichment (like finding specific tech stacks or job listings).

Step 1: Define Your “Ideal Customer Profile” (5 Minutes)

Before you touch any software, you must be able to tell the AI what a “good” lead looks like. If you can’t define it, the agent can’t find it.

Open a Notepad and write down your 3-5 key criteria. For example:

• Industry: B2B SaaS, Professional Services, or Manufacturing.
• Company Size: 20–200 employees.
• Geography: United States or Canada.
• Current Pain Point: Mentions “scaling,” “efficiency,” or “automation” on their website or in job posts.

Step 2: Create the “Brain” in Relevance AI (10 Minutes)

Log into Relevance AI and create a new “Tool.” This is where we will define the agent’s logic.

1. Input: Set an input field for Company Website and Lead Name.
2. Web Search Step: Add a “Google Search” or “Tavily Search” step. Instruct the agent to search for: "[Company Name] company size and industry" and "[Company Name] recent news 2026".
3. Scrape Step: Add a step to “Scrape Website.” Point it at the Company Website provided in the input. This allows the agent to read their “About Us” and “Services” pages.
4. LLM Analysis Step: This is the most important part. Use a model like Claude 3.5 Sonnet or GPT-4o. Use the following prompt template:

“You are an expert Sales Development Representative. Analyze the following data about a company: [Scraped Content] and [Search Results].

Compare this company against our Ideal Customer Profile (ICP):

• Industry: [Your Industry]
• Size: [Your Size]
• Focus: [Your Focus]

Assign a grade from A (Perfect Fit) to D (Not a Fit). Provide a 3-sentence rationale for the grade. Identify 1 specific ‘hook’ or ‘pain point’ we can mention in an outreach email.

Output Format: Grade: [Grade] Rationale: [Rationale] Recommended Hook: [Hook]“

Step 3: Connect the “Hands” via Make.com (10 Minutes)

Now we need to make sure this happens automatically every time a lead comes in.

1. Trigger: Set your trigger to “New Lead” in HubSpot (or whatever CRM you use).
2. Action: Add the Relevance AI module. Map the Website and Company Name from HubSpot to the input fields you created in Step 2.
3. Wait: The agent will take 30–60 seconds to do the research.
4. Update: Add an “Update a Record” step for HubSpot. Map the output from Relevance AI (the Grade, Rationale, and Hook) into custom fields in your CRM.
   • Pro Tip: Create a custom property in HubSpot called “AI Lead Grade” and “AI Research Summary” before you start.
5. Notify: Add a Slack or Microsoft Teams module to ping the sales team: ”🔥 New A-Grade Lead: [Company Name]. Rationale: [AI Rationale].”

Step 4: Testing and Refinement (5 Minutes)

Run a test lead through the system.

Does the agent get the industry right? Is the grade accurate based on your ICP? Most people find that the first version gets it 80% right. You can refine the “LLM Analysis” prompt in Relevance AI to be more specific.

For example, if it’s grading companies that are too small as “A,” update your prompt to say: “BE STRICT on company size. If they have fewer than 20 employees, they are an automatic C grade.”

The ROI: Why This Matters

Let’s look at the math for a typical small sales team (3 people).

• Manual Research: 15 minutes per lead.
• Leads per Month: 100.
• Total Research Time: 25 hours per month.
• Cost of Agent: ~$50/month (Relevance AI + Make.com).
• Value of Reclaimed Time: At $50/hour (blended sales rate), that’s $1,250 per month in reclaimed productivity.

More importantly, your sales team is now focusing 100% of their energy on the “A” and “B” leads. They aren’t getting “burned out” by calling 50 people who were never going to buy in the first place. This usually leads to a 15–20% increase in close rates simply because the team is fresher and better prepared for every call.

Advanced Move: The “Deep Enrichment” Layer

If you want to take this to the next level, integrate Clay into Step 3.

Clay can pull in much deeper data points—like whether the company uses a specific CRM, what their estimated ad spend is, or even the specific keywords they are bidding on. You can feed this “Deep Data” into your Relevance AI agent to make the “Rationale” and “Hook” incredibly specific.

Imagine your SDR getting a Slack notification that says: “A-Grade Lead. They just hired a new VP of Marketing and they are using a competitor’s software that is currently having service outages. Hook: Mention our 99.9% uptime guarantee.”

That is the power of agentic lead qualification.

Conclusion

Building an AI agent sounds like a massive project, but as we’ve shown, the tools in 2026 make it a weekend—or even a 30-minute—task.

Stop letting your most expensive and talented employees do data entry and basic research. Build your lead qualification agent this week, and give your sales team the “AI Coworker” they deserve.

Need help setting up your first agent? Quick Summit provides pre-built Relevance AI templates for SMBs. Join our newsletter for the download links.