01
The role of technology in value creation (and destruction) in M&A
A practical way to translate the deal thesis into technology decisions, gates, and a sequenced workplan that protects Day-1 and accelerates synergy.
Topic index
IT due diligence in M&A
22 chapters
IT due diligence playbooks for testing technology risk, cost, scalability, cyber exposure, separation complexity, and deal implications.
1. Articles
02
How tech due diligence really drives investment outcomes
Turn diligence into price, timing, and Day-1 decisions—before the model hardens and options disappear.
03
Buy-side vs sell-side tech due diligence: different objectives, different truths
A deal team guide to using sell-side diligence to speed the process—without confusing “a clean story” with an executable plan.
04
What good looks like in IT due diligence
A scorecard and evidence pack that turns tech diligence into price, timing, and a Day-1 plan you can actually execute.
05
Tech DD in PE deals vs corporate deals
How to adjust diligence scope, outputs, and decision triggers so you underwrite the right risks, timing, and cash for the buyer type.
06
Speed vs depth: trade-offs in fast-cycle due diligence
A fast-cycle tech diligence playbook to pick the few questions that set the deal clock, cash needs, and downside protection.
07
Red flags that kill deals (or should)
A deal-team way to separate fixable issues from value killers, with evidence asks and decision triggers that change price, terms, or timing.
08
Assessing the IT organization: skills, structure, and key-person risk
A diligence framework to underwrite whether the IT team can run the business and deliver the deal agenda—and what it costs to de-risk the first 100 days.
09
Application landscape due diligence: complexity, technical debt, and fit
How to find the applications that set the deal clock, turn technical debt into mandatory cash, and protect value before signing.
10
Infrastructure and cloud due diligence: scalability, cost, and risk
How to test cloud cost, scalability, control, and recovery—and decide when infrastructure risk should change price, terms, or timing.
11
Cybersecurity due diligence: what matters before it is too late
A deal-team framework to test which cyber issues change price, timing, connectivity, and first-100-day execution before the buyer inherits the risk.
12
Data, analytics, and reporting due diligence
How deal teams can test whether management reporting, data quality, and KPI logic can support the investment thesis after close.
13
ERP due diligence: when the core system is the deal
A practical way to test when ERP condition, fit, and change capacity should alter the investment case, one-time cash, or integration plan.
14
IT contracts, licenses, and vendor lock-in risks
How to find contract and licensing terms that change TSA cost, run-rate, separation timing, and the buyer's freedom to execute the deal plan.
15
IT cost structure and budget due diligence
A diligence approach for normalizing IT run-rate, separating mandatory spend from upside, and protecting the EBITDA case before signing.
16
Identifying separation and integration complexity during DD
How to spot the technology dependencies that set the separation or integration clock before the deal team locks price, TSAs, and Day-1 commitments.
17
How AI is changing tech due diligence
A practical view of where AI can compress diligence work, where it creates false confidence, and how deal teams should govern AI-assisted findings.
18
Using AI to accelerate application and codebase analysis
How buyers can use AI-assisted analysis to find application risk faster while avoiding unsupported conclusions about code quality, ownership, and changeability.
19
AI for cyber, data, and risk detection in deals
Where AI can improve cyber, data, and operational risk detection in diligence, and how to keep the outputs tied to deal decisions rather than noise.
20
Limits and risks of AI-driven due diligence
A deal-team checklist for using AI in diligence without creating false precision, data leakage, weak attribution, or unsupported investment conclusions.
21
Translating tech due diligence findings into the investment thesis
A deal team method to turn diligence from a findings list into price, timing, and funding decisions before you sign.
22
From findings to actions: building the tech workplan pre-close
Turn technology diligence findings into owned actions, decision gates, funding, and Day-1 protection before the transaction closes.