• Client

    GMMCo

  • Service

    AI Lead Intelligence

  • Industry

    Infrastructure

  • Company Size

    10,000+

The client

This AI Sales Intelligence Services case study showcases how an infrastructure enterprise transformed lead qualification and pipeline generation using an AI-powered lead intelligence platform. The solution increased qualified pipeline by 1.5X while eliminating low-quality leads and improving sales productivity.

The problem

As inbound lead volumes grew, the signal-to-noise ratio in the sales funnel deteriorated significantly. Sales teams were dedicating substantial time to exploratory conversations with low conversion potential, while genuinely high-intent leads received the same undifferentiated attention as low-quality enquiries. The result was declining pipeline quality, frustration across the sales organisation, and an inability to scale outcomes without scaling headcount. 

 

  • High Volume of Low-Qualification Inbound Leads — The sales funnel was flooded with enquiries lacking genuine buying intent project specifications with no commercial urgency, exploratory contacts with no decision-making authority, and inbound forms from parties far outside the sales-ready profile. Without intelligent filtering, every lead demanded the same manual evaluation effort. 
  • Sales Teams Wasting Effort on Non-Productive Leads — Even among leads classified as qualified, many lacked the commercial urgency or near-term purchasing intent justifying extended sales engagement. Field sales teams were drawn into long, low-probability conversations that consumed capacity better deployed on high-value accounts — directly impacting productivity and morale. 
  • Low Lead-to-Win Conversion Rates Impacting Revenue — The combination of poor lead quality and undifferentiated sales effort resulted in conversion rates well below the potential of the opportunity landscape. Without an intelligent prioritisation layer, the sales organisation had no systematic way to focus resources on the accounts most likely to convert. 

OUR SOLUTION

Worxwide conducted market research, ICP definition, and lead behaviour analysis to identify the signals separating high-intent leads from exploratory noise. An AI lead intelligence platform Catalyze was built to automate lead mining, qualification, and scoring across digital sources, with web scraping, digital marketing signals, and AI-based scoring models applied to generate a ranked, actionable lead pipeline. A human-in-the-loop validation layer ensured scoring models were continuously refined based on real-world outcomes. 

 

  • ICP Definition and Lead Behaviour Signal Analysis — Defining the Ideal Customer Profile with precision — across industry, project stage, geography, purchasing authority, and commercial urgency gave the AI scoring model the specific attributes needed to differentiate genuine opportunity from speculative enquiry with high accuracy. 
  • AI Lead Mining, Qualification, and Scoring via Catalyze — The Catalyze platform automated discovery, qualification, and prioritisation of leads across digital ecosystems using web scraping, digital marketing signals, and multi-variable AI scoring models to rank opportunities by conversion probability, giving sales teams a prioritised lead queue. 
  • Human-in-the-Loop Validation for Continuous Model Improvement — A structured human validation layer — where sales managers reviewed AI recommendations and provided feedback created a continuous learning loop that improved model accuracy over time, making the platform progressively more effective as it learned from real conversion outcomes. 

Our work in action

The Impact

1.5x Growth in Qualified Pipeline Volume

By filtering out non-productive leads and surfacing genuinely high-intent opportunities, the AI platform grew the volume of sales-ready leads in the active pipeline by 1.5x giving the sales team more qualified opportunities without increasing manual evaluation effort.

Eliminated Non-Productive Lead Pursuit Across the Organisation

The AI prioritisation layer effectively eliminated the pursuit of low-probability leads that had previously consumed significant sales capacity, redirecting effort toward accounts with genuine buying intent and materially improving the return on sales investment.

Improved Lead-to-Win Conversion Rates

Focused sales effort on high-scoring, intent-validated leads produced measurable improvement in lead-to-win conversion rates, demonstrating that the value of the platform was in generating better leads and ensuring the best ones received the attention they deserved. 

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