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Case Study

Driving Down Risk & Unlocking Millions in Recurring Revenue:

How Bennett Data Science Transformed Operations for a Blackstone‑Backed Technology Leader

20% efficiency gain in field workers (~$10MM/year savings)

10 % jump in field‑worker productivity

$20M+ annual cash‑flow acceleration from faster ticket closure

< 6‑month payback; 4× ROI in year one

Executive Snapshot

  • Client:A Blackstone portfolio company – focusing on critical infrastructure management and damage prevention in the energy, utility, and telecom industries
  • Strategic Challenge: Millions of open work‑order tickets were freezing revenue, inflating risk exposure, and throttling expansion capacity.
  • Bennett Data Science Solution: Deployed twin AI engines—real‑time Predictive Risk Scoring and Field Ticket Resolution Guidance—fully embedded in daily workflows.
  • Enterprise Impact:

    • 50 % drop in construction‑related financial risk
    • 67% reduction in damages
    • 20% efficiency gain in field workers (~$10MM/year savings)
    • 10 % jump in field‑worker productivity
    • $20M+ annual cash‑flow acceleration from faster ticket closure
    • < 6‑month payback; 4× ROI in year one

Client Context

A fast‑growing, highly regulated construction & utility technology group operating across 40+ U.S. states needed to reduce risk and increase efficiency for its clients without adding overhead. Backed by Blackstone, leadership had a mandate: “Become the leader in risk reduction and increase worker efficiency, nationwide.”

The Strategic Challenge

  1. Become the Best in Class at Risk – Create nation’s best performing risk prediction algorithm. Deploy countrywide
  2. Solve Ticket Gridlock – Predict when a field ticket can be closed and free up 20%+ of worker hours needlessly chasing unnecessary jobs.

Our Approach

We partnered with cross-functional stakeholders to design and deploy a two-part AI solution that addressed both strategic and operational pain points.

1. Predictive Risk Modeling

  • Unified siloed data sources into a secure cloud lake
  • Trained ML models on historical records to assign a real‑time risk score the moment a new order is entered
  • Integrated the score in the existing ticketing UI

2. Field Ticket Resolution Guidance

  • Trained an ML model to predict when a construction job needs specific inspection
  • Built an AI assistant that clearunnecessary inspector trips to job sites

Quantified Results

1

50 % Risk Reduction

High‑risk jobs flagged early; incident‑related losses cut in half
2

20 % Productivity Lift

Fewer wasted trips equals 20% additional projects overall
3

$20–45 M Annual Cash‑Flow Boost

Faster close‑outs pulled revenue forward
4

< 6‑Month Payback; 4× Year‑One ROI

Project costs fully recovered in two quarters

”Bennett Data Science converted a painful bottleneck into a competitive weapon. Their AI solution slashed our risk profile and gave us the working capital to scale—without hiring a single extra head.

SVP OperationsBlackstone Portfolio Company

Why It Worked

  • Embedded, Not Bolted‑On – Intelligence lives inside the tools crews already use
  • Explainable & Auditable – Every score is traceable, satisfying regulators and internal audit
  • Change‑Management Light – 2‑week pilot proved value; nationwide roll‑out completed in 90 days

Partner with Us

Ready to turn operational drag into bottom‑line growth?
Let’s discuss how Bennett Data Science can deliver a 3‑5× ROI for your organization.