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Case Study

How AI Deployment Drove $1.8M in Annual EBITDA in 6 Months.

A mid-market private equity firm leveraged PDS to overhaul call handling and scheduling for a $48M commercial HVAC portfolio company, directly adding ~$15M to their targeted exit valuation.

Annual EBITDA Added
$1.88M
Response Time
11 mins (from 4.2 days)
After-Hours Booking
71% (from 31%)
Implementation Time
12 Weeks

The Challenge: Bleeding Revenue After Hours

Greenline Mechanical Services, a commercial HVAC and plumbing company with $48M in annual revenue, had grown rapidly through add-on acquisitions under their PE sponsor. However, growth had strained their operational infrastructure.

Operational Bottlenecks

  • 28% of inbound calls were abandoned, sent to voicemail, or handled by an ineffective answering service.
  • The after-hours answering service booked appointments only 31% of the time.
  • The commercial sales team spent 40% of their time on unqualified leads.
  • Average lead response time dragged to an unacceptable 4.2 days.

Phase 1: The AI Readiness Assessment

PDS bypassed generic consulting models and deployed a 3-week deep operational audit. Instead of theoretical IT assessments, we analyzed exact call recordings and Salesforce data to map the financial exposure:

We proved that an estimated 340 missed new-customer calls represented roughly $952K in monthly revenue exposure.

Phase 2: Execution & Implementation

Over a 12-week intensive sprint, the PDS engineering team deployed the following multi-tiered custom automation architecture:

1. 24/7 AI Voice Agent

Replaced the failing answering service with an intelligent voice agent integrated directly into ServiceTitan. It schedules appointments proactively, handles complex routing, and fields common queries seamlessly without human intervention.

2. Intelligent Dispatch & Scheduling

Built automated n8n workflows connecting directly to ServiceTitan. Automatic slotting, technician routing based on branch location, and intelligent re-scheduling dramatically reduced manual CSR hours.

3. Commercial Lead Qualification Engine

Integrated GoHighLevel & AI layers into Salesforce to automatically categorize inbound leads by property size and potential value. Warm leads auto-routed to nurture sequences while 'hot' leads instantly pinged commercial sales representatives.

Phase 3: Measurable Results at 6 Months

Key MetricBefore PDSAfter 6 MonthsImpact
Inbound Answer Rate72%98.4%+26.4%
After-Hours Booking Rate31%71%+129%
Avg. Lead Response4.2 days11 minutes-99.8%
Sales Qual. Lead Ratio45%78%+73%

The Exit Valuation Math

The PE sponsor tracked a concrete increase of $148,000 per month in AI-attributable EBITDA contribution.

Total EBITDA Improvement
$1.78M Annualized
Adding ~$15.3M of Enterprise Value at targeted 8.5x exit
AI Implementation for PE Portfolio Companies

Ready to See the EBITDA
Impact Across Your Portfolio?

Start with a $15K AI Readiness Assessment. Three weeks. One portfolio company. A prioritized roadmap with projected EBITDA impact — formatted for your investment committee.

3 WeeksTo first deliverable
10–15%Avg. EBITDA lift
NDASigned on day one
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No commitment required. NDA available on request.