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Case study

Find the lead, score it, then talk — in one system

A European IT firm needed more than a purchased list. We built Agentic Lead Qualification System: a CRM with an agentic pipeline that sources leads from public channels, scores them, and helps the team write the first message.

ClientA Europe-based IT company that sells services and needed a way to find, qualify and work buying signals — not a spreadsheet of names.

Gen AI & Agentic SystemsIT Services

Gen AICRMLead Qualification

Tech stack

  • GenAI
  • Python
  • FastAPI
  • React
  • Chrome Extension
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Agentic lead workspace with scoring, context and outreach

The problem

The conversations were public. The qualification was not.

People ask for IT help on Reddit, Y Combinator, LinkedIn and Quora. The client could see those posts. They could not turn them into a scored pipeline without someone reading every thread by hand.

A generic scraper dumps noise into a CRM. They needed filtering, a strong scoring engine, and a place to hold the lead, the post, and the outreach — including a Chrome extension for work that starts in the browser.

What we built

Qualipipe: source, score, qualify, outreach

We built Qualipipe as a Gen AI product: React in the workspace, a Chrome extension where the conversation starts, Python and FastAPI behind it. An agentic layer scores the lead and helps draft the reply against the actual post.

  • 01

    Leads from more than one channel

    • Sourcing from Reddit, Y Combinator, LinkedIn, Quora and similar public threads
    • The lead arrives with the post, not as a name with no context

  • 02

    Scoring and filtering before the CRM fills up

    • A scoring and filtering engine so weak fits do not sit next to real demand
    • The team sees warmth and requirement summary before they spend a message

  • 03

    CRM for the qualified lead

    • The record holds the source, the score, the thread and the outreach history
    • Work stays in Qualipipe instead of bouncing between a scraper, a sheet and a mailbox

  • 04

    Agentic outreach in the browser

    • A Chrome extension for the moment the team is looking at the post
    • A Gen AI assistant drafts against the lead context — goal, length, tone — so the first message matches the ask

What changed

A pipeline that starts with a scored conversation.

  • Sourcing that matches how IT buyers talk

    • Leads from the channels the client already watches, in one product
    • Context travels with the record: post body, requirements, suggested angle

  • Qualification is a step, not a hope

    • Scoring and filters sit in front of the CRM, not after someone has already written
    • The team spends time on warmer leads instead of reading every thread

  • Outreach next to the lead

    • Draft, send and history live on the same record
    • The Chrome extension and the workspace share the same pipeline

What this unlocks

Qualipipe is the CRM and the qualifying agent around it. The European IT client gets leads from the channels they care about, scored before anyone writes, with the first message sitting on the same record.

Need a lead pipeline that scores the conversation, not just the name?

Tell us where your buyers already talk, and what a good lead looks like. We'll tell you what belongs in the product.

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