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Let me be straight with you.
Most business owners have a lead problem that looks like a sales problem.
You’ve got a pile of form fills, a string of inquiry emails, maybe a spreadsheet someone half-heartedly maintains. And somewhere in that mess are two or three people ready to write you a check right now. The rest? Tire kickers, competitors doing research, and people who just wanted your free PDF.
The problem isn’t leads. It’s that you’re manually sorting through all of them like you’ve got nothing better to do.
Here’s what I built after getting fed up with that exact problem. And I’m handing you the whole thing.
The Setup: What You’re Actually Building
This is a three-layer AI workflow that does the following:
Captures a lead from any source (form, email, calendar link, DM)
Scores them against your ideal client profile in real time
Routes qualified leads to your calendar or CRM, and filters out the rest automatically
You’re not replacing your sales process. You’re putting a bouncer at the front door so only the right people get in.
Total setup time: about 90 minutes. Ongoing time investment: close to zero.
Layer 1: The Intake Form With Built-In Intelligence
Forget the generic “name/email/phone” contact form. That thing tells you nothing useful.
Your intake form needs to ask three qualifying questions that do the screening work before a human ever reads the submission. Here’s the framework:
Question 1: The Budget Signal
Don’t ask directly. Nobody answers that honestly. Instead ask: “What’s the biggest challenge this investment needs to solve?” or “What’s currently costing you the most in this area?” The answer tells you whether this person understands the value of what you do.
Question 2: The Timeline Signal
Ask: “When are you looking to have this in place?” Anyone saying “someday” or “just exploring” is not a buyer right now. That’s fine, but you treat them differently.
Question 3: The Authority Signal
Ask: “Who else is involved in making this decision?” This separates decision-makers from researchers. If they say “just me,” you’re talking to someone who can actually pull the trigger.
Once your form is live, pipe those submissions into Make.com. That’s where the automation picks it up.
Affiliate note: Make.com is the backbone of this entire workflow. If you’re not already on it, grab a free account here: Make.com
Layer 2: The AI Scoring Engine
Here’s where it gets interesting.
Once a submission lands in Make.com, you trigger an API call to your AI model of choice (Claude or ChatGPT both work well here). You pass the lead’s answers through a scoring prompt that you build once and never touch again.
Here’s the exact prompt structure to use:
“You are a lead qualification specialist for [YOUR BUSINESS TYPE]. Review the following inquiry and score the lead from 1-10 based on these criteria:
Budget alignment (1-3 points): Does their stated challenge indicate they understand the investment level required?
Timeline urgency (1-3 points): Are they looking to move in the next 30-90 days?
Decision authority (1-2 points): Are they the decision-maker?
Business fit (1-2 points): Does their situation match our ideal client profile?
Lead details: [INSERT FORM FIELDS]
Return: Overall score (1-10), one-sentence summary, recommended next step (SCHEDULE CALL / NURTURE / DISQUALIFY)”
That prompt turns every form submission into a structured JSON output with a score, a summary, and a clear next action. You didn’t read a single word. The AI did.
Layer 3: The Routing Logic
Now Make.com reads the AI output and does one of three things:
Score 7-10: Sends an automated calendar invite email from you (personalized based on their answers), logs them in your CRM as “hot,” and pings you on Slack or email with a brief summary.
Score 4-6: Adds them to your email nurture sequence, tags them in your CRM as “warm,” and schedules a follow-up task for 2 weeks out.
Score 1-3: Sends a polite “thanks for reaching out” auto-reply, adds them to your general newsletter list (with consent), and logs them as “low fit” in your CRM.
Nobody falls through the cracks. And you only talk to people who are ready to talk to you.
The Numbers That Should Get Your Attention
When I first implemented a version of this for a consulting client, their close rate on sales calls jumped from 22% to 61% in 45 days.
Why? Because they stopped taking calls with people who weren’t ready. Every conversation they had was pre-qualified. The call was almost a formality.
That’s not magic. That’s just better filtering.
Common Mistakes That Kill This System
A few things that will break this if you get them wrong:
Vague scoring criteria. If your prompt says “good lead” without defining what that means, the AI will guess. Define your ideal client in the prompt explicitly.
No fallback for incomplete submissions. Some people skip questions. Build a conditional in Make.com that handles missing fields before passing to AI, or the whole workflow breaks.
Scoring without calibration. Run the first 50 leads through manually alongside the AI and compare. Adjust the prompt where the AI got it wrong. This takes one hour and dramatically improves accuracy.
Forgetting to update your ICP. Your ideal client profile changes. Revisit your scoring prompt every quarter.
Your Implementation Timeline
Day 1: Rebuild your intake form with the three qualifying questions above.
Day 2: Set up your Make.com scenario and connect your form.
Day 3: Write and test your scoring prompt with 10 past leads.
Day 4: Build your three routing sequences.
Day 5: Run it live, monitor for 48 hours, tweak as needed.
One week. That’s it. After that, this runs without you.
The Bottom Line
You didn’t start your business to spend two hours a day sorting through inquiry emails. You started it to do the work and close the clients worth closing.
This system gives you your time back. And it makes you look more responsive and professional to the leads who actually matter, because they hear from you fast and they feel understood.
Build this once. Let it run.
Want the full workflow map, the exact Make.com scenario structure, and a done-for-you scoring prompt template?That’s inside the AI Workflow Blueprint. Comment BLUEPRINT and I’ll get it to you.
Jordan Hale | The AI Newsroom
Practical AI for people who have a business to run.