AI Implementation & Automation for Private Equity Portfolio Companies
Find and fix the operational inefficiencies reducing portfolio company EBITDA.
AperioCore helps private equity firms and portfolio companies identify where value is being lost, quantify the financial impact, and implement data-driven solutions that improve margins.
Most inefficiencies are hidden across systems, workflows, and reporting.
No prep required · No commitment
Built for private equity operators and portfolio companies
Trusted by operators across
Is AperioCore right for you?
We work with a specific slice of the market. Here's who we're built for.
PE Operating Partners
You need AI progress across a portfolio but can't staff it internally at each company.
PortCo CEOs & Presidents
You want to implement AI but don't know where to start or who to trust.
CFOs & Finance Leaders
You're drowning in manual AP, reporting, and reconciliation that should be automated.
PE Deal Teams
You need a fast, objective AI maturity assessment before or after a transaction closes.
Most portfolio companies lack clear visibility into performance
- Data is fragmented across systems
- Reporting is delayed and inconsistent
- Inefficiencies exist but aren't quantified
The result is avoidable margin erosion.
of tasks in a typical LMM back-office can be automated with current AI
faster ROI from targeted point-solutions vs. enterprise platform overhauls
average annual savings identified per engagement in our Automation Discovery process
Why most AI consulting fails here
Generic consultants are not built for the LMM. They push enterprise software, deliver decks, and leave.
- They sell software they get kickbacks on.
We are completely system-agnostic.
- Strategy with no implementation path.
We run the project through to production.
- 18-month timelines on a 5-year hold.
We target 60–90 days to first deployment.
- They measure success in slide decks.
We measure success in EBITDA impact.
From visibility to measurable impact
A repeatable three-phase process, timed to fit inside the PE hold period. Every output is specific, priced, and actionable — not advisory documents.
Not every process is an AI candidate. We use a structured scoring model — based on volume, repeatability, and data quality — to identify which ones are, and rank them by financial impact before recommending anything.
Inputs
What you bring
- Current processes and workflows
- Existing tech stack and systems
- Finance and ops data
- Operator interviews (2–4 people)
- Business objectives for the hold
The AperioCore Engine
What we do
- Process mapping & opportunity scoring
- ROI modeling per automation use case
- Vendor evaluation (system-agnostic)
- Implementation project management
- Change management & team training
Outputs
What you get
- ROI-ranked automation roadmap
- Vendor shortlist with pricing
- Deployed automation in 60–90 days
- EBITDA impact measurement
- Ongoing Fractional AI support (optional)
Identify
Map workflows, systems, and reporting across the business. Each process is scored on volume, repeatability, and data availability — the criteria that determine where AI and automation will have the highest financial return.
Explore Automation DiscoveryQuantify
Translate each issue into clear financial impact. Every recommendation is tied to a number before we touch a single system.
See how we quantify ROIImplement
Deploy data, systems, and automation that drive measurable improvement — from kickoff through production.
View the implementation processMost firms stop at analysis. We focus on implementation.
Typical engagements identify meaningful opportunities within the first 30–60 days.
We focus on the areas that directly impact financial performance.
Where we create measurable impact
Specific engagements with defined scope and timeline — not open-ended retainers.
Every initiative is tied to measurable financial impact.
AI Automation Discovery
4-6 week engagement to map, prioritize, and score automation opportunities across your organization.
Learn MoreAI Implementation
From assessment to production in 60-90 days, engaging subject-matter experts to deploy the right technology.
Learn MoreFractional AI Partner
Part-time embedded AI leadership without the full-time executive cost.
Learn MorePortfolio AI Programs
Coordinated AI across an entire fund's portfolio — standardized assessment, cross-portfolio sharing.
Learn MoreAI Change Management
Structured coaching and enablement programs that turn AI skeptics into advocates, protecting your ROI by ensuring actual adoption.
Learn MoreAI SEO
Use AI to build organic search authority, automate content production, and outrank competitors — without scaling a full marketing team.
Learn MoreAI Due Diligence
Pre-LOI or post-LOI AI maturity assessment for M&A transactions.
Learn MoreResults
Where we've created measurable impact
Representative engagements across PE-backed portfolio companies.
Problem
10+ CIMs reviewed weekly, each taking ~2 hours to read and extract — consuming 20 hours of senior analyst time with no way to scale
What we changed
AI agents automating CIM ingestion, deal matrix population, Q&D model updates, and IC memo drafting from call transcripts
Impact
Weekly diligence time cut by 85%, from 20 hours to 3 hours, while maintaining full 10 CIM/week throughput
Focus area
Deal diligence automation & analyst capacity
Problem
Month-end close taking a full week per cycle, with hundreds of journal entries created one at a time across 75+ fund entities
What we changed
AI accounting assistant automating bank statement ingestion, journal entry drafting across all 75+ entities in a single pass, auto-reconciliation, and fair value adjustments
Impact
Month-end close reduced from over a week to ~1 day, with 40+ journal entries posted in a single automated pass
Focus area
Fund accounting automation & close cycle reduction
Problem
$100K+/year in offshore labor for manual timesheet processing, stale quarterly margin data, and 30–45 day close cycles across portfolio companies
What we changed
AI-automated timesheet processing, live CRM-synced margin analysis, and AI-driven portfolio accounting with a centralized real-time dashboard
Impact
$100K+ in annual cost savings, real-time margin visibility, and close cycles reduced from 30–45 days to just days
Focus area
Portfolio cost reduction & operational visibility
Built for execution, not just analysis
- Every initiative is tied to financial impact
- We stay through implementation, not just recommendations
- We focus on what actually improves EBITDA
- We prioritize speed to impact over perfect analysis
How AperioCore compares to the alternatives
| Factor | AperioCore | Big-4 / MBB Firm | Software Vendor |
|---|---|---|---|
| System-agnostic? | ✓ Yes | ✗ No (ecosystem bias) | ✗ No (sells own platform) |
| LMM-specific experience? | ✓ LMM-only focus | ✗ Enterprise-first | ✗ One-size-fits-all |
| Time to first deployment | 60–90 days | 9–18 months | 3–6 months (then stalls) |
| Pricing model | Fixed-scope, defined price | T&M, costs balloon | License + services (opaque) |
| Success metric | EBITDA impact | Deliverable completion | Product adoption |
| Implementation support | ✓ End-to-end | ✗ Strategy only | ✗ Limited |
Industry Expertise
Deep operational knowledge means faster discovery and higher-confidence ROI estimates — not generic AI theory.
For PE Sponsors
Managing AI across a portfolio is a different problem.
Our Portfolio AI Program standardizes AAMI scoring across companies, builds a cross-portfolio AI playbook, and integrates directly with your operating partner team — so you're not starting from scratch at every portco.
Standardized AAMI scores
Baseline every portco on the same 6-dimension framework.
Cross-portfolio playbook
Share what works. Avoid paying for the same discovery twice.
AI due diligence
Technical assessment pre-LOI or post-close in 2–3 weeks.
Operating partner integration
We work alongside your deal team and ops leadership.
Free Diagnostic Tool
Find where your portfolio company is leaking value
Our AI Maturity & Momentum Index (AAMI) is a 30-question diagnostic used on mid-market companies across 6 operational dimensions. Takes under 10 minutes. You receive a scored report with your top 3 prioritized recommendations — at no cost.
What happens in the first 30 days
We move fast. Here's what the first month looks like.
Week 1–2
Review systems, data, and workflows
We map your current state — processes, tools, reporting, and data flows — without disrupting your team.
Week 2–3
Identify key inefficiencies
We surface the specific gaps, bottlenecks, and redundancies that are costing you margin.
Week 3–4
Quantify initial financial impact
Each issue is tied to a dollar value. You see what it's costing before we recommend anything.
Latest Insights
Actionable AI strategy for operators and sponsors — not vendor marketing.
What Is AI Due Diligence in Private Equity? A Complete Guide
Learn how to assess a target company's AI readiness, uncover technical debt, and identify high-ROI automation opportunities before you sign the LOI.
The 6 Dimensions of AI Readiness in a Portfolio Company
We break down the AI Maturity & Momentum Index (AAMI) and how operators can baseline their organizations for scalable tech growth.
How to Build an AI Automation Roadmap for a Manufacturing Company
From predictive maintenance to supply chain optimization, discover the step-by-step process for integrating AI into legacy manufacturing.
The AperioCore PE AI Insights
Monthly intelligence for PE operators on what's actually working in the middle market. No vendor fluff.
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