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Case Study

Driving Down Risk & Unlocking Millions in Revenue:

How Bennett Data Science Transformed Operations for a Blackstone‑Backed Infrastructure 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: National construction & utility company in Blackstone’s portfolio
  • 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 group operating across 40+ U.S. states needed to tighten controls and fund expansion without adding overhead. Backed by Blackstone, leadership had a mandate: “Cut risk and release trapped revenue, or expansion stalls.”

The Strategic Challenge

  1. Rising Cost of Capital – Every extra day a ticket stayed open locked up working capital and dampened EBITDA—critical metrics for private‑equity stakeholders.
  2. Ticket Gridlock – 4 M+ work‑order tickets sat unresolved, delaying job close‑out and invoicing.
  3. Manual, Subjective Risk Reviews – Handoffs stretched for days, leaving the firm exposed to costly safety & compliance incidents.

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 five siloed data sources (work‑order metadata, unstructured field notes, historical incident logs) into a secure cloud lake.
  • Trained supervised ML models on 8+ M historical tickets to assign a real‑time risk score the moment a new order is entered.
  • Integrated the score in the existing ticketing UI—no new screens, zero friction.

2. Field Ticket Resolution Guidance

  • Built an AI assistant that surfaces similar closed jobs, auto‑prompts for missing data, and prioritizes next actions by ROI.
  • Mobile‑first UX for field techs; latency < 400 ms even on rural 4G.

Quantified Results

1

50 % Risk Reduction

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

4× Review Throughput

One analyst now clears 60 tickets/hour vs. 15 previously
3

10 % Productivity Lift

Fewer stalled jobs freed crews to take on 300+ additional projects/quarter
4

$20–25 M Annual Cash‑Flow Boost

Faster close‑outs pulled revenue forward; finance cut DSO by 11 days
5

< 6‑Month Payback; 4× Year‑1 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.