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AI Lead Qualification & Scoring

AI scores and qualifies every new lead in real time, so reps call the right people first and the rest get nurtured automatically.

Book a call What you get
  • Bilateral NDA protected
  • 100% client code & IP ownership
  • 2–4 week agile sprints
AI Lead Qualification & Scoring

AI Lead Qualification & Scoring: key facts

What it is
Insyrge sets up AI lead scoring that rates every new lead against your ideal-customer profile and past deals, then routes and follows up automatically inside your CRM.
Who it is for
Sales teams with more inbound leads than they can call quickly; Marketing teams that need to prove which leads are worth sales time.
Main deliverables
Scoring model, Enrichment step, Explainable scores, Routing rules, Follow-up automation.
Works with
Your CRM, web forms, ad platforms, enrichment providers and email tools.
How it starts
A free 45-minute discovery call, then a written scope agreed before any build starts.
Ownership
You own the code, configuration and documentation. Ongoing support is optional.

Who it is for and the problems it solves

Who it is for

  • Sales teams with more inbound leads than they can call quickly
  • Marketing teams that need to prove which leads are worth sales time
  • Businesses whose manual scoring rules no longer reflect who actually buys

Problems it solves

  • Reps work leads in arrival order rather than by fit and intent
  • Points-based scoring rules are out of date and nobody trusts the score
  • Leads arrive with missing company data, so fit cannot be judged
  • Good leads wait while poor ones get called first

What you get

Tested deliverables, included in this service

Clear milestones agreed in writing, with the code and configuration handed over to you.

  • 01

    Real-time scoring against your ideal-customer profile and past deals

  • 02

    Enrichment before scoring

  • 03

    Automatic routing and follow-up in your CRM

What each deliverable includes

Scoring model
Criteria built from your ideal-customer profile and closed-won and closed-lost history.
Enrichment step
Company and contact data added before scoring, from sources you approve.
Explainable scores
A score plus the reasons behind it, stored on the lead record.
Routing rules
High-fit leads assigned and alerted immediately; others placed into nurture.
Follow-up automation
First-touch emails, tasks or sequences triggered by score band.
Review report
How scores compare with real outcomes, used to recalibrate.

The process

How an engagement runs

Scope and deliverables are agreed before any build starts.

  1. Step 01

    Discovery

    We review your goals, current setup and the tools involved.

  2. Step 02

    Plan

    Scope, deliverables and timeline agreed in writing before work starts.

  3. Step 03

    Build and test

    The solution is configured, checked against real scenarios.

  4. Step 04

    Handover

    Documentation and training so your team can run it day to day.

Typical timeline and what you receive at each phase

  1. Phase 01

    Discovery call

    A list of candidate tasks, the systems involved and the data the AI may use.

  2. Phase 02

    Written scope

    Tasks, guardrails, approval points, test cases and how success is measured, agreed before build.

  3. Phase 03

    Pilot build

    Working version connected to your systems in a test environment, checked against real examples.

  4. Phase 04

    Launch and tune

    Live use with logging; prompts and rules tuned with you, then code and documentation handed over.

Durations depend on scope and are set in the written proposal. Build work runs in 2–4 week sprints.

Platforms & capabilities

Tech this service works with

  • CRM
  • Workflow automation
  • Lead scoring
  • Data enrichment

Typical integrations

  • CRM

    Scores, reasons and routing written to the lead and deal records.

  • Web forms and ad platforms

    Leads captured with source and campaign data.

  • Enrichment providers

    Company size, industry and other firmographic data.

  • Email and sequencing tools

    Follow-up by score band.

  • Team chat and notifications

    Instant alerts for high-fit leads.

Questions about AI Lead Qualification & Scoring

Still unsure? Email info@insyrge.com

How is AI lead scoring different from points-based scoring?

Points-based scoring adds fixed values per action or field. AI scoring evaluates the lead against patterns in your past wins and losses and your written criteria, and explains its reasoning on the record.

Do we need a lot of historical data?

More history helps, but it is not required. With little data we start from a written ideal-customer profile and recalibrate as outcomes come in.

Will reps understand why a lead got its score?

Yes. Each score is stored with the main reasons, such as company size, industry fit or the request itself.

What happens after a lead is scored?

Routing rules assign it, notify the owner and start the right follow-up, all inside your CRM.

Can scoring use data from outside the CRM?

Yes. Enrichment and form or ad-platform data can be added before scoring, using sources you approve.

How do you check the scores are right?

We compare scores with actual outcomes and adjust the criteria. The review report makes this visible to sales and marketing.

Do we own the model and rules?

Yes. Prompts, rules, code and documentation are yours.

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