How do you qualify a sales lead with AI?

You qualify a sales lead with AI by opening Milli, our AI sales strategist at Sintra, and describing your ideal customer profile, your offer, and the lead you are evaluating. Milli helps you build a lead qualification framework, generate discovery questions, and assess whether a prospect fits your criteria, so your team spends time on the leads worth closing rather than the ones that will stall.

Time to task completion: around 5 minutes per lead.

What Milli can help with: Lead qualification frameworks · Discovery question sets · Sales qualified lead scoring · Marketing qualified lead criteria · Disqualification scripts · Follow-up sequences

Pricing: Milli is included with Sintra X at $15.60/mo billed yearly, with a 14-day money-back guarantee.

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Setting up Milli for lead qualification

Every sales representative has their own read on how to qualify a sales lead, and that inconsistency is the problem: qualification only pays off when the whole team works the same way. We built Milli to turn it into a framework that does, though the framework reflects your sales reality only once Milli knows your business, so a few minutes of setup come first.

1. Sign up and open Milli. Create your account at sintra.ai, select Milli from the Helpers list, and you land in a chat interface ready to start building your lead qualification process.
2. Set up Brain AI. Upload your ideal customer profile, product or service description, pricing, deal size, and the criteria that separate a good fit from a bad one to  Brain AI. Milli pulls from this every time, which is how we keep your qualification frameworks reflecting your actual sales reality rather than a generic template.
3. Brief Milli on your qualification criteria. Have your minimum requirements ready: budget range, decision-maker level, company size, timeline, and any hard disqualifiers. The clearer your criteria going in, the more useful Milli's output coming out.
4. Use the output in your own process. Milli drafts the qualification frameworks, question sets, and scoring criteria for you. Copy them into your CRM, sales playbook, or call prep document and apply them yourself.

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How to qualify a sales lead with Milli, step by step

These steps follow the workflow we use ourselves, from defining your qualification criteria to running a consistent lead qualification process your whole team can use. Each one shows what you give Milli and what you get back.

Step 1: How do you define your ideal customer profile for lead qualification?

Before you can qualify leads, you need a clear picture of what a qualified lead actually looks like. Give Milli your product, your best existing customers, and your deal criteria, and it builds an ideal customer profile you can use as the benchmark for every lead that comes in.

Prompt: Help me define an ideal customer profile for lead qualification. We sell a cloud-based inventory management system. Our best customers are e-commerce brands doing €1M-€10M in annual revenue, with a warehouse team of 5 or more. Our average deal size is €8,000/year. What criteria should define a sales qualified lead for us?

Output: A structured ideal customer profile with firmographic, behavioural, and situational criteria, covering company size, budget range, decision-maker profile, timing signals, and hard disqualifiers.

Step 2: How does Milli build a lead qualification framework?

Give Milli your ICP and your sales context, and it builds a qualification framework, whether that is BANT, MEDDIC, or a custom version, structured around the criteria that actually matter for your deals.

Prompt: Build a lead qualification framework for our sales team. We are selling a HR software platform at €500/month to SMEs with 20-200 employees. The decision-maker is usually the HR Manager or CEO. Use a BANT structure but adapt it to our context: flag what to ask, what answers qualify, and what answers disqualify.

Output: A complete lead qualification framework with criteria for Budget, Authority, Need, and Timeline, each with example qualifying and disqualifying responses your team can reference on every call.

Step 3: How does Milli write discovery questions for qualifying leads?

Give Milli your qualification criteria and it writes a discovery question set designed to surface what you need to qualify or disqualify a lead without the conversation feeling like an interrogation.

Prompt: Write a set of 8 discovery questions for qualifying leads for a B2B accounting software at €200/month. We need to understand budget, current tools, decision-making process, and timeline. Questions should feel conversational, not scripted.

Output: Eight discovery questions ordered to flow naturally in a conversation, opening with context, moving to pain and fit, and closing with timeline and next steps, ready to add to your call prep or CRM.

Step 4: How do you distinguish between marketing qualified leads and sales qualified leads?

Give Milli your funnel structure and the behaviours your leads show before a sales conversation, and it writes clear criteria for when a lead moves from marketing qualified to sales qualified, so your team stops chasing leads that are not ready. This is the point where lead generation hands off to lead qualification, and getting the threshold right is what keeps the two teams aligned.

Prompt: Write clear criteria for marketing qualified leads vs sales qualified leads for a SaaS project management tool. MQLs come from content downloads and webinar sign-ups. SQLs should be ready for a product demo. Define the threshold: what behaviour, firmographic fit, or engagement level moves a lead from MQL to SQL?

Output: A two-column MQL vs SQL criteria document with specific thresholds for each stage, ready to share with both your marketing and sales teams to align on what a hand-off looks like.

Step 5: How does Milli help you score leads consistently?

Give Milli your qualification criteria and your lead sources, and it builds a simple lead scoring model your team can apply consistently, so every rep prioritises the pipeline the same way.

Prompt: Build a lead scoring model for our sales team. Positive signals: company size 50-500 employees, decision-maker is VP or above, inbound enquiry, mentioned a specific pain point. Negative signals: company under 10 employees, student or freelancer, no budget confirmed. Assign point values and define the threshold for a sales qualified lead.

Output: A lead scoring model with point values for positive and negative signals and a clear SQL threshold, ready to paste into your CRM or sales playbook.

Step 6: How do you disqualify a lead without burning the relationship?

Give Milli the context and it writes a disqualification script that closes the conversation professionally, leaving the door open for the future without wasting more of your team's time now.

Prompt: Write a disqualification script for a lead who is the wrong company size, with 3 employees against our minimum of 20. We want to close the conversation politely, explain we are not the right fit right now, and leave the door open for when they grow. Keep it under 5 sentences.

Output: A short, professional disqualification script that acknowledges the lead, explains the fit issue clearly, and closes with a forward-looking line, ready to use on a call or adapt into an email.

Qualifying sales leads manually vs. with Milli

Building a qualification process by hand means a lot of alignment meetings and undocumented judgement calls. Here is the trade-off as we see it.

Tips for a better lead qualification process with AI

These are the habits we lean on to qualify leads the same way across a whole team.

Define your disqualifiers before your qualifiers. Most teams spend their time defining what a good lead looks like and forget to define what a bad one looks like, so give Milli your hard disqualifiers first, like wrong company size, no budget, or wrong geography, and build the qualification criteria around what is left.

Build the MQL-to-SQL handoff criteria with both teams in the room. Marketing and sales disagreeing on what counts as a qualified lead is one of the most common reasons pipelines stall, so use Milli to draft the criteria, then align both teams on the output before it goes into the CRM.

Write discovery questions for the lead, not the product. The goal of a discovery call is to understand the prospect's situation, not to pitch, so give Milli the information you need to qualify the lead and ask it to write questions that surface that naturally rather than ones that sound like a checklist.

Score leads on behaviour as well as firmographics. A company that fits your ICP perfectly but has shown no buying signals is a weaker prospect than a slightly smaller company that has requested a demo and named a specific pain point, so tell Milli both kinds of signal and build a scoring model that reflects the difference.

Revisit your qualification criteria every quarter. Markets shift, your ICP evolves, and the deals that close in Q1 are not always the same profile as the ones that close in Q3, so use Milli to update your framework at the start of each quarter based on the deals that closed and the ones that fell through.

Lead qualification checklist

Each section below stands on its own, so you can run the stage you are on with or without Milli, from defining the profile through to reviewing what the process is missing.

Start qualifying leads more consistently in under 10 minutes

Milli builds your qualification framework, writes your discovery questions, and defines your MQL and SQL criteria from a plain-language brief, so your whole team learns how to qualify sales leads the same way, every time. We built it to make a consistent process the default rather than something a sales manager has to enforce.

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The complete lead qualification checklist

If a stage keeps tripping you up, take it to Milli in a single prompt and turn the gap into a working framework, question set, or script.