Private Equity
You bought the company for its growth. Its back office can't keep up with the plan.
We build the revenue and reporting systems your portfolio companies need to hit the 100-day plan and show clean numbers at exit - on your timeline, not theirs.
The Short Answer
Private equity (PE) covers investment firms that acquire majority or significant minority positions in privately held operating companies, drive operational and financial value-creation during the hold period, and exit through strategic sale, secondary sale, or IPO. Operationally PE firms run sourcing and deal flow, due diligence, portfolio operations and value-creation programs (often anchored by a 100-day plan), portfolio reporting to LPs, exit preparation, and quality-of-earnings work. AI is applied across the lifecycle to deal sourcing and screening, due diligence document review, portfolio company revenue and ops infrastructure builds, standardized cross-portfolio reporting, customer health monitoring, and exit-readiness data cleanup.
You Know This Problem
Sound familiar?
Portfolio Company Business Ops Are Inconsistent
Different CRMs, different pipelines, different reporting formats. No standardization means no visibility.
100-Day Plans Without Execution Infrastructure
Great strategy documents that don't translate to faster revenue because the systems aren't there to execute.
Exit Readiness Is Always Last-Minute
Clean data, reliable forecasting, and documented processes should be table stakes - not a 6-month scramble before LOI.
What We Build
What we build for Private Equity
System / Agent
What It Does
100-Day AI Ops Sprint
Rapid deployment of revenue and ops infrastructure in the first 100 days of ownership.
Business Ops Infrastructure Build
CRM, pipeline, forecasting, and attribution - built to investor-grade standards.
Cost Reduction Automation
Identify and automate the highest-cost manual processes across the portfolio.
Portfolio Reporting System
Standardized reporting across portfolio companies with real-time dashboards for the GP.
Customer Retention Agent
Automated health monitoring and at-risk customer alerts for portfolio companies.
GTM System Build
Full go-to-market infrastructure for portfolio companies entering growth phase.
88 days
To merge two acquired companies (150 and 300 employees) into one system - RI private equity engagement
42%
Licensing cost cut in that merger by building instead of over-buying Salesforce seats
$1M+/yr
Recurring payroll a portco avoids by not adding 10 process hires to hit the plan (stated assumption, ~$100K each)
Featured Case Study
Real results in private equity.
Private Equity Systems Merger
A Private Equity firm that acquired two organizations wanted to merge these two companies into a single revenue management system. This would increase the accuracy of information, ability to upsell and cross sell, and cut down technology costs. The firm desired standardized reporting, comprehensive integrations, and a well-automated machine across both entities. While the Private Equity firm had certified Salesforce professionals on board, the complexity of migrating two Salesforce instances into a single source of truth, integrating accounting systems, and onboarding both teams into a new process required additional support to meet the challenge of a 90-day deadline.
Read the full case study42%
Licensing Savings
23%
CAC Reduction
142 min
Time Saved / Rep
Explore Capabilities
AI Use Cases for Private Equity
Here's what those systems actually look like for private equity firms today.
AI Add-On Acquisition Targeting for Private Equity
AI agents identify add-on acquisition targets matching platform investment thesis, monitor...
AI-Powered Client Reporting for Private Equity
Automate LP reporting, KPI roll-ups, and board packages for PE firms. AI-powered client re...
AI for Proposal and Scope Generation for Private Equity
AI proposal generation for private equity firms - automate LP decks, diligence scopes, and...
AI Workflow Automation for Private Equity
AI workflow automation for private equity: faster LP reporting, KPI roll-ups, and diligenc...
Automated Lead Qualification for Private Equity
Automated lead qualification for private equity: stop burying deal teams in unscreened inb...
AI CIM & Pitch Material Generation for Private Equity
AI agents generate CIMs for portfolio company exits, pitch decks for fundraising, and mark...
Show all 13 Private Equity use casesHide additional use cases
- Client Onboarding Automation for Private Equity
- AI Deal Sourcing & Screening for Private Equity
- AI Due Diligence Document Review for Private Equity
- AI Investor Communications for Private Equity
- AI LP Reporting Automation for Private Equity
- AI Operating Metrics Aggregation for Private Equity
- AI Portfolio Company Performance Reporting
Common Questions
Quick answers to what most private equity leaders ask before we kick off.
How do you handle reporting for the GP across multiple companies?
We build a standardized data layer across portfolio companies that feeds a single GP dashboard. Different CRMs, unified reporting.
Can you work across multiple portfolio companies simultaneously?
Yes. We work with PE firms that want to deploy a consistent operating playbook across 3-10 portfolio companies. We have a dedicated portfolio engagement model for this.
Where does this fit - the fund or the portfolio company?
Both. Some engagements are at the fund level (deal sourcing, IC prep, LP reporting). Most are at the portco level, sponsored by the operating partner team to lift EBITDA.
How quickly can a portco see EBITDA impact?
First system live in 30-60 days. EBITDA-relevant lift typically shows up by month 4-6 - usually in revenue capture, working-capital cycle time, or SG&A reduction.
How do you scope across a portfolio of different industries?
We start with the highest-value common patterns - sales pipeline, customer onboarding, AR, reporting - then layer industry-specific systems where the value is biggest. We don't force a one-size template.
How does this look at exit?
Buyers pay more for businesses that don't require their founders or their CRO to run them. The systems we build are documented, transferable, and survive a management change. That's the point.
Can we engage on a single portco first?
Yes. Most sponsors start with one or two portcos and expand once the playbook is validated.
Our portcos just hire ops people to hit the plan. Why systems instead?
Because staffing the plan with headcount is the reflex, and it's the one that shows up in every portco's SG&A. The other trap is the transformation vendor that ships a slide deck instead of a working system. Ten process hires per portco is roughly $1M a year in recurring payroll (a stated assumption at about $100K each), growing every year, for work a system runs once. The team stays and does the judgment work; the system does the reporting, the pipeline hygiene, and the reconciliation. You move from portcos that need their founders and CRO in every decision to systems that are documented, transferable, and survive a management change - which is exactly what a buyer pays a premium for at exit. This is about the roles the portco hasn't posted yet.
Ready to see this applied to your private equity firm?
Book a 30-minute strategy call. We'll show you exactly what we'd build.
Book a Strategy Call