Case studiesCase study · Portfolio Company

From reacting to problems to seeing them coming

A PE-backed services business was catching margin and quality problems weeks too late. We are unifying its operating data and putting predictive models on top, so issues surface before they land, not after.

A PE-backed, multi-region services business · sponsor-owned · heavy weekly job volume

This client asked to remain anonymous.

Industry
Portfolio Company
Team
Regional operations leadership
Use case
Predictive ops · staffing · margin
Headline result
30% fewer incidents
01 · The challenge

Found in the rear-view mirror

Problems showed up in the monthly review, not while there was still time to fix them. A margin slip or a billing error surfaced weeks after close, when it was already a customer dispute and a lender question. Staffing was set by last period's volume, not the next one's demand. And the data that would have flagged any of it lived in separate systems that never reconciled, so reported margins were always understated.

  • Margin and billing errors caught weeks after month close.
  • Staffing was reactive, set by last period rather than coming demand.
  • Operating systems never reconciled, so margins always read low.
  • Only a sliver of work was ever audited, and it was chosen at random.
02 · What we did

DealSage, on their operations

We reconciled the operating, billing and accounting systems into one structured foundation, then layered predictive models on top: demand and staffing forecasts, margin and cost-driver models, and risk scoring that decides which jobs to check. The team opens one dashboard that shows what is about to go wrong, while there is still time to act.

  • One reconciled source of truth across every region.
  • Predictive staffing and demand forecasts.
  • Risk-based auditing instead of random sampling.
  • Real-time regional dashboards, not a monthly deck.
03 · How it works

Three steps, one workflow

Step 01ConnectOperating data, billing and financials reconciled into one ontology, built and maintained for them.
Step 02ModelDemand, margin and risk models run on the live, unified data.
Step 03AlertIssues and opportunities surface on a dashboard the team opens daily.
The results
30%fewer quality and billing incidents
Livevisibility, replacing the monthly review
100%of regions on one reconciled source of truth
more high-risk jobs caught vs random audits

The shift is from forensic to preventive. The monthly review still happens, but it stops being the place where bad news is discovered. Margin leaks, billing errors and staffing gaps show up as alerts days or weeks earlier, small enough to fix quietly instead of large enough to explain to a lender.

“We used to find out about a problem in the monthly review. Now it pings us while there is still time to fix it.”
Operations Lead · the business in this study

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