Tracks/Track 9 — Technical Debt as Financial Liability/N9-5
Track 9 — Technical Debt as Financial Liability

N9-5: PE Due Diligence: Tech Debt Assessment

How private equity and corporate acquirers evaluate technical debt risk before signing the LOI.

3 Lessons~45 min

🎯 What You'll Learn

  • Run pre-LOI scans
  • Identify deal breakers
  • Calculate debt-adjusted valuations
  • Structure remediation holdbacks
Free Preview — Lesson 1
1

Lesson 1: The Pre-LOI Technical Scan

Before the Letter of Intent, sophisticated PE buyers run a rapid technical assessment: 48-72 hours, focused on three things — deployment frequency (velocity proxy), production incident rate (stability proxy), and maintenance load percentage (debt proxy). These three numbers tell the story.

Deployment Frequency

Daily deployments suggest modern CI/CD and low debt. Weekly suggests friction. Monthly suggests crisis.

Extract from GitHub/GitLab deploy logs
P1 Incident Rate

Severity 1 incidents per month. More than 2/month signals unstable systems.

Pull from PagerDuty/incident management
Maintenance Load

Sprint allocation to maintenance vs features over last 4 quarters.

Growing trend is a red flag
📝 Exercise

Run a simulated pre-LOI scan on your own organization. Grade yourself: green (<20% maintenance), yellow (20-40%), or red (>40%).

2

Lesson 2: Deal-Breaker Identification

Five technical debt findings that kill deals: (1) Zero automated test coverage on revenue-critical paths, (2) single-point-of-failure architecture, (3) key-person dependency on <3 engineers, (4) unpatched CVE backlog >6 months, (5) legacy stack with no migration plan. Any one of these can reduce the bid by 20% or kill the deal entirely.

Test Coverage Gap

No automated tests on checkout/payment/auth flows.

Signals: unreliable deploy process, high bug rate
SPOF Architecture

Single database, single server, no redundancy.

One failure = total outage = revenue loss
CVE Backlog

Known security vulnerabilities unpatched for >6 months.

Regulatory liability and breach risk
📝 Exercise

Audit your codebase for the 5 deal-breaker signals. Document each finding with severity and remediation estimate.

3

Lesson 3: Debt-Adjusted Valuation

The debt-adjusted valuation model: Start with standard EBITDA multiple → subtract remediation costs → subtract 12-month carrying costs → apply risk discount for uncertainty. A company trading at 10x EBITDA with $3M in tech debt remediation costs and $800K in annual carrying costs is really worth 10x × (EBITDA - $800K) - $3M.

Remediation Deduction

One-time cost to fix debt subtracted from enterprise value.

Like deducting CapEx from a real estate valuation
Carrying Cost Deduction

Annual debt maintenance cost reduces the EBITDA used in the multiple.

This is the more impactful deduction
Risk Discount

5-15% additional discount for uncertainty in remediation estimates.

Higher for older code, less documentation
📝 Exercise

Calculate the debt-adjusted valuation for a hypothetical $50M revenue company with 45% maintenance load and $4M in remediation costs.

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01import { orchestrator } from '@exogram/core';
02
03const router = new AgentRouter({);
04strategy: 'COST_EFFICIENT_SLM',
05fallback: 'FRONTIER_MODEL'
06});
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Module Syllabus

Lesson 1: Lesson 1: The Pre-LOI Technical Scan

Before the Letter of Intent, sophisticated PE buyers run a rapid technical assessment: 48-72 hours, focused on three things — deployment frequency (velocity proxy), production incident rate (stability proxy), and maintenance load percentage (debt proxy). These three numbers tell the story.

15 MIN

Lesson 2: Lesson 2: Deal-Breaker Identification

Five technical debt findings that kill deals: (1) Zero automated test coverage on revenue-critical paths, (2) single-point-of-failure architecture, (3) key-person dependency on <3 engineers, (4) unpatched CVE backlog >6 months, (5) legacy stack with no migration plan. Any one of these can reduce the bid by 20% or kill the deal entirely.

20 MIN

Lesson 3: Lesson 3: Debt-Adjusted Valuation

The debt-adjusted valuation model: Start with standard EBITDA multiple → subtract remediation costs → subtract 12-month carrying costs → apply risk discount for uncertainty. A company trading at 10x EBITDA with $3M in tech debt remediation costs and $800K in annual carrying costs is really worth 10x × (EBITDA - $800K) - $3M.

25 MIN
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