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Automation Showroom
Possible SetupSales & Marketing

AI-Powered Lead Qualification

Intelligent lead scoring and automated sales processes. Demo reference architecture, figures modelled.

Industry
Sales & Marketing
Build, estimated
4 weeks
Where this workflow sits in the company

At a glance

It starts with
Lead Captured
The machine handles
10 of 10 steps
A person keeps
Nothing — it runs end to end
Bottom line
+340%Qualified Leads

The problem

Honest take: 70 % of leads in your CRM will never close. Wrong volume, wrong industry, wrong timing, wrong country.

But your sales team still calls them. Sends emails. Books demos. Not because they don't know — but because nobody filters before the lead lands on their desk.

Result: your best closers do work an intern with an Excel filter could do. And the leads that actually fit get lost in the pile.

Sorting happens before the pipeline, not inside it.

Sales teams often struggle with an overwhelming stream of unqualified leads. Marketing generates plenty of contacts, but salespeople spend up to 60% of their time manually evaluating and prioritizing leads. Without clear scoring criteria, valuable time and resources are wasted on prospects who never convert. Meanwhile, hot leads slip through the cracks because no one follows up in time. Typical conversion rates sit at a meager 2%. Excel spreadsheets and manual CRM entries create data silos - nobody has a complete view of the pipeline. This costs not just revenue, but also the motivation of top performers.

An employee shows at her desk how she processes an order; a consultant sits beside her taking notes.

Staged scene

Tuesday, 10:00 am

Twelve new enquiries. They get called back in order, not by promise.

Which enquiry fits, which does not, and who calls whom first? The workflow below pre-sorts; sales decides.

The process, step by step

Scroll through. The diagram stays put and highlights the step you are on.

The workflow01 / 10
  1. 01

    Lead Captured

    Website/Form

    A new lead is captured through the website form, landing page, or another channel and triggers the qualification process.

  2. 02

    Data Enrichment

    LinkedIn + GPT-4

    The system automatically enriches the lead with company data from LinkedIn and uses GPT-4 to analyze company context and decision-maker structure.

  3. 03

    Behavior Analysis

    Website Tracking

    Website behavior is analyzed: visited pages, time spent, downloads, and previous interactions all feed into the scoring.

  4. 04

    AI Scoring

    50+ Data Points

    The AI scoring engine evaluates the lead based on all collected data points and compares against historical close patterns.

  5. 05Branch

    Segmentation

    Hot/Warm/Cold

    Based on the score, the lead is segmented as Hot (contact immediately), Warm (nurturing), or Cold (long-term campaign).

  6. 06

    Nurturing Start

    SendGrid

    Hot leads are automatically assigned to the available sales rep with the best success rate for that industry.

  7. 07

    Lead Assignment

    Sales Team

    For Warm leads, a personalized nurturing sequence automatically starts with relevant content and case studies.

  8. 08

    CRM Update

    HubSpot

    All lead data, scores, and activities are synchronized with HubSpot in real-time for complete transparency.

  9. 09

    Sales Alert

    Slack/Email

    The assigned sales rep immediately receives a notification with the lead profile, score details, and recommended next steps.

  10. 10

    Complete

    Lead Qualified

    The lead is fully qualified, enriched, and ready for processing in the CRM. Sales can immediately start with the initial conversation.

What changes

Possible setup, not a packaged product

The figures are modelled target values for a possible setup, derived from industry benchmarks and our own tests. They do not come from a customer project; real values depend on your business. We do not sell this setup as a finished product: we measure where your bottleneck is, then build with your team. For systems that require certification (e.g. HIS, gematik, DATEV-certified) we work with specialised partners.

Before vs. After

AspectBeforeAfter
Lead EvaluationBefore: Manual evaluation by salesAfter: AI-based scoring with 50+ data points
Time AllocationBefore: 60% on unqualified leadsAfter: Focus on hot leads only
Conversion RateBefore: 2%After: 8.5%
Follow-upBefore: Manual, leads often lostAfter: Automatic prioritization & nurturing

Technology

Technology Stack

n8nHubSpotOpenAI GPT-4LinkedIn APISendGridPostgreSQL

Integrations

Systems this setup can connect to

HubSpot CRMCRM System
Bidirectional sync of all lead data, activities, and deal status
LinkedIn Sales NavigatorData Enrichment
Automatic company data enrichment and decision-maker identification
OpenAI GPT-4AI Engine
Lead analysis, scoring, and personalized outreach suggestions
SendGridEmail Marketing
Automated nurturing sequences with personalized content

Frequently Asked Questions

The AI analyzes over 50 data points including website behavior, email interactions, company data from LinkedIn, and historical close patterns. Each lead receives a score that reflects conversion probability.
The system integrates with HubSpot as CRM, LinkedIn for company data, and SendGrid for nurturing emails. All integrations are pre-built and ready for use.
Hot leads are identified and forwarded in real-time. From lead capture to sales notification takes less than 5 minutes, so your team can respond immediately.
Yes, all scoring parameters are configurable. The AI learns continuously from your data and automatically adapts weightings.

What would this look like at your company?

This workflow is a demo. Whether it pays off for you depends on where things get stuck at your company. The method page shows how to find out. To place a workflow of your own, use the free assessment. No call needed.

Start the assessmentHow it worksAll workflows in the showroom