Author
John Carver
Co-Founder
You're an operating partner at a PE firm. You just closed on a new platform company. It's a great business—strong market position, solid management team, clear growth runway. You paid 8x EBITDA.
Now you need to create value. Your model shows you can exit at 10x in 4 years if you execute the plan:
Grow revenue 2.5x through organic growth and bolt-ons
Improve EBITDA margins by 400 basis points
Demonstrate operational excellence to buyers
The revenue growth plan is clear. Sales and marketing initiatives, new product launches, geographic expansion, strategic M&A.
But the margin improvement? That's trickier. You can't cut your way to growth. You need operational efficiency that scales.
Finance operations is the obvious target. The portfolio company has 12 people in finance doing manual work. Industry benchmarks say they should need 8. That's $340K in annual savings if you can get to best-in-class efficiency.
Multiply that across your 10 portfolio companies and you're looking at $3-4M in annual EBITDA improvement just from finance operations.
The question is: how do you actually achieve it?
The Traditional PE Playbook for Finance Operations
The standard approach looks something like this:
100-Day Plan:
Assess finance operations at portfolio company
Identify inefficiencies and benchmark against peers
Recommend headcount optimization
Implement "best practices" from other portfolio companies
Push for faster close cycles
Execution:
Hire a strong Controller if needed
Standardize chart of accounts across portfolio
Implement monthly reporting templates
Push for process documentation
Maybe implement a new ERP if systems are really bad
Results:
Some marginal efficiency gains
More consistent reporting (eventually)
Slight improvement in close time
Lots of resistance from portfolio company teams
Implementation takes 12-18 months
The problem? By the time you get results, you're halfway through your hold period. And the results are underwhelming—maybe you shave a few days off close and reduce headcount by 1-2 people. Better than nothing, but not transformational.
Why Traditional Approaches Fall Short
Portfolio companies resist change They're busy running their businesses. They don't want to adopt new processes or learn new systems just because the PE firm says so. "Our business is different" is the common refrain.
Implementation is disruptive ERP implementations take 12-18 months and millions of dollars. During that time, finance is in chaos. Close cycles get longer, not shorter. People leave. It's painful.
You can't force standardization Company A uses QuickBooks. Company B uses NetSuite. Company C uses an industry-specific ERP from the 1990s. Forcing them all onto the same platform is expensive and slow.
The economics don't work Spending $2M on an ERP implementation to save $300K annually takes 6-7 years to pay back. You don't have 6-7 years. You have 4-5 years to create value and exit.
Headcount reduction is limited You can optimize a bit, but you can't cut your way to excellence. The company still needs to close books, pay bills, process invoices, manage cash. There's a floor on headcount.
So traditional approaches deliver marginal improvements at best. You might get 50-100 basis points of EBITDA margin improvement if you execute well. Nice, but not needle-moving.
The AI Agent Approach
AI agents offer a fundamentally different model.
Instead of standardizing systems or reducing headcount, you deploy autonomous agents that handle finance workflows regardless of what systems the portfolio company uses.
The deployment model:
Month 1-2: Assessment and Planning
Assess current finance operations at portfolio company
Identify highest-impact workflows for automation
Plan phased agent deployment (typically starting with AP/AR/Expenses)
Month 3-4: Implementation
Deploy first agents (typically AP and Expense Management)
Agents integrate with existing ERP (no system replacement needed)
Finance team trains agents on company-specific processes
Month 5-6: Validation and Expansion
Validate results from initial agents
Deploy additional agents (Financial Close, Bill Pay, etc.)
Begin measuring impact on close time and headcount needs
Month 7-12: Optimization
Agents operating autonomously across all workflows
Finance team redeployed to higher-value work
Standardize agent deployment across other portfolio companies
The results:
Financial impact:
Avoid 2-4 finance hires per company ($170K-340K saved annually)
Close time reduced from 12-18 days to 4-6 days
Working capital improvement from faster billing/collections
Finance cost as % of revenue improves by 30-40%
Operational impact:
Standardized processes across portfolio (same agents, different systems)
Real-time visibility into all portfolio company finances
Consistent reporting by day 8 across entire portfolio
Scalable operations for bolt-on integration
Exit impact:
Operational excellence story for buyers
Lower operating costs = higher EBITDA
Fast close demonstrates mature operations
Buyers see scalable, modern finance operations
Real PE Firm Results
53 Capital (11 portfolio companies, $850M AUM)
Challenge: Finance operations across portfolio were inconsistent and expensive. 87 finance FTEs across 11 companies. Some closing in 8 days, others taking 18 days. $2M+ in annual finance costs above benchmarks.
Implementation:
Started with 2 pilot companies (Months 1-4)
Rolled out to remaining 9 companies (Months 5-14)
Deployed same agents across all companies (AP, AR, Expense, Close)
Standardized on Lateral regardless of each company's ERP
Results (18 months post-implementation):
$2.1M in annual savings across portfolio (eliminated 24 positions through attrition)
Average close time: 6 days (down from 13 days)
Consistent day-8 reporting across all 11 companies
Finance FTEs: 63 (down from 87)
EBITDA improvement: 150+ basis points across portfolio
Exit outcome: Sold one portfolio company 18 months after Lateral deployment. Buyer specifically highlighted operational maturity and fast close cycle as value drivers during diligence. Operating partner believes it contributed to 0.3-0.5x multiple improvement.
"We include Lateral deployment in our standard 100-day plan now," said James Liu, Operating Partner. "The EBITDA improvement pays for itself in year one, and we're building more valuable businesses for exit."
Portfolio-Wide Benefits Beyond Cost Savings
The EBITDA improvement is significant, but there are other portfolio-wide benefits:
Standardized operations without standardized systems Every portfolio company runs Lateral agents regardless of their ERP. You get consistency in processes and reporting without forcing expensive system consolidation.
Real-time portfolio visibility Operating partners get real-time visibility into finance performance across all portfolio companies. DSO, close timeline, processing metrics—all in one dashboard.
Faster bolt-on integration Acquiring a bolt-on? Deploy Lateral agents during the first 90 days. Finance integration happens in 6-8 weeks instead of 12-18 months. Synergies realize faster.
Scalable operations for growth Portfolio companies can double revenue without doubling finance teams. Growth doesn't create operational drag.
De-risked exit diligence Buyers love clean, fast, automated finance operations. It reduces buyer risk and supports higher valuations.
The Competitive Advantage
Here's the reality: PE firms that deploy AI agents across their portfolios will have a structural advantage over firms that don't.
Better deal flow: Management teams want to partner with firms that will help them scale efficiently, not just cut costs. "We deploy AI agents to eliminate manual work so your team can focus on growth" is a more attractive pitch than "We'll reduce your headcount by 15%."
Faster value creation: 6-month deployment vs. 18-month ERP implementation means you realize value earlier in the hold period and have more time to compound returns.
Higher exit multiples: Operational excellence + lower cost structure + scalable operations = premium valuations from buyers.
Portfolio-wide leverage: Lessons learned at Company A instantly apply to Companies B-J. Best practices propagate automatically through standardized agents.
LP differentiation: "We're the first PE firm to deploy AI agents portfolio-wide for operational excellence" is a differentiated story in fundraising.
