Manual lead research slows sales teams down.
AI automation expert Manthan Patel built a no-code workflow that connects Lusha’s API with n8n to qualify inbound leads automatically.
Here’s how it works:
Form submissions trigger enrichment via Lusha’s person and company endpoints.
An AI model checks if the lead matches ICP criteria.
Qualified leads get routed to Slack, HubSpot, and Sheets instantly.
The result: 30 minutes of research cut to 3 seconds.
Faster routing. Cleaner data. Smarter RevOps.
All fully GDPR and CCPA compliant.
When verified data, signals, and automation flow together, every process gets faster—routing, scoring, follow-up, and forecasting.
That’s the idea behind a new automation built by Manthan Patel, an AI systems expert who’s helped more than 200,000 people learn how to design practical automation workflows.
Manthan works with Y Combinator, backed companies like Retell AI and VectorShift, and has earned a reputation for building systems that solve real business problems—not just look good in demos.
His latest build: an inbound lead qualification workflow that connects Lusha’s API to n8n, enriching, scoring, and routing new leads automatically–all without writing a single line of code!
His problem: manual lead research slows everything down
Every sales team knows this bottleneck: a prospect fills out a form with a name and an email, and nothing else.
Before a rep can follow up, they need to know:
- Who is this person?
- What company do they work for?
- Are they even a good fit?
For Manthan’s agency, each inbound lead meant 15–30 minutes of manual research across LinkedIn, company sites, and Crunchbase.
Multiply that across dozens of leads, and hours of selling time vanished daily.
“We weren’t missing leads because we didn’t have data,” says Manthan. “We were missing leads because finding that data took too long.”
The solution: automate enrichment, qualification, and routing
Manthan built a simple system using Lusha’s API and n8n that replaces manual research with verified data and AI-based qualification.
Here’s how it works:
Step 1. Form submission triggers the flow
A prospect fills out a form (from Typeform, HubSpot, Cal.com, or any webhook-enabled tool) >> the workflow starts automatically, no manual review needed.
Step 2. Lusha enriches the lead on two levels
Person data:
- Full name and title
- Direct phone number
- LinkedIn profile
- Current and past roles
- Location and seniority
Company data:
- Employee count and growth trend
- Revenue range and funding rounds
- Industry and tech stack
- Company summary
All of this runs in 2–3 seconds using verified information from Lusha’s 280M+ business profiles.
“Connecting Lusha’s API to n8n took five minutes,” says Manthan. “Just grab your API key and plug it in. No code, no complexity.”
Step 3. AI checks for ICP fit
Once enriched, the lead data is sent to an LLM (Manthan uses Google Gemini) to check fit against the company’s ICP.
In his case, the criteria were:
- Tech startups
- AI companies
- Marketing agencies
The model reviews industry, size, funding, and seniority to return three fields:
- Status: qualified or unqualified
- Score: 1 or 0
- Reason: a short explanation like “Company is an AI SaaS platform targeting B2B teams.”
The process ensures every lead is scored consistently with no subjective judgment calls or missed context.
Step 4. Qualified leads get routed instantly
If the lead qualifies, three actions happen automatically:
- A Slack message notifies the SDR with full context: name, title, company, LinkedIn, phone, email, size, and funding data.
- HubSpot creates or updates the contact with enriched fields.
- Google Sheets logs the lead for tracking and analysis.
If the lead doesn’t qualify, it’s still stored for future nurturing so nothing gets lost.
The impact: faster decisions, cleaner data, better focus
By automating enrichment and qualification, Manthan’s team cut manual research time from 30 minutes to 3 seconds.
- Speed: SDRs now see complete profiles instantly.
- Consistency: Every lead follows the same rules.
- Context: Reps know exactly who they’re calling and why.
- Scale: The system works for 10 leads or 1,000.
- Compliance: All data is GDPR and CCPA compliant.
“We no longer debate whether a lead is ‘good enough.’ The data speaks for itself.”
Why this approach works so well
Most lead scoring tools rely on behavior like page visits, clicks, downloads. But behavior doesn’t reveal fit.
Lusha’s enrichment adds the missing layer of firmographic and professional data, so AI can evaluate true ICP match: company size, industry, funding stage, and decision-maker role.
It’s a smarter way to qualify using verified data instead of spray-and-pray.
The setup: faster than it sounds
Tools required
- n8n (free or cloud)
- Lusha API key (Settings → API)
- Optional: Slack, HubSpot, Google Sheets
Setup time: 10–15 minutes using Manthan’s public n8n template.
Two simple POST calls — /v2/person and /v2/company — handle the enrichment.
n8n takes care of routing, scoring, and notifications.
What good RevOps looks like
Data shouldn’t sit in spreadsheets waiting to be cleaned or copied.
It should flow automatically through your systems—enriching, qualifying, and powering every downstream process.
That’s the vision behind this workflow: faster responses, cleaner CRMs, and smarter forecasting—all powered by verified, compliant data.
“Good automation isn’t about replacing people,” says Manthan. “It’s about giving them clean data and more time to do what actually matters.”
Ready to get started?
Download the n8n workflow template
Watch Manthan’s full walkthrough video
Try Lusha with 40% off annual plans this month
Want to build your own inbound qualification flow?
Explore how Lusha’s API connects verified data, AI scoring, and automation tools like n8n to make RevOps faster, cleaner, and more predictable.
FAQs
You’ll need an n8n account (free or cloud), a Lusha API key, and optional integrations with Slack, HubSpot, or Google Sheets.
Around 10–15 minutes using Manthan’s public n8n template. It’s a simple plug-and-play build—no coding required.
Lusha enriches every form submission with verified person and company data. Then, an AI agent scores the lead against your ICP to determine fit before routing.
Yes. Lusha’s data is 100% GDPR and CCPA compliant, so you can automate safely and confidently.
Any sales or RevOps team managing inbound leads—especially in B2B SaaS, AI, tech, marketing, or startup ecosystems.
Yes. You can define your ICP (industry, employee count, funding stage, role seniority) directly in the AI prompt to match your business.
You can download the ready-to-use n8n template or watch Manthan’s full video walkthrough directly from the blog.
