Uncover AI value. Reduce deal risk.

AI and technology due diligence

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Overview

Traditional due diligence misses the realities of AI. We provide a deal-focused evaluation of AI, product technology, and IT systems to uncover insights that standard due diligence overlooks. Our assessments probe AI maturity, operating model weaknesses, and scalability so you can judge strategic fit, size the business impact, and test management’s ability to execute—enabling faster, sharper, and more confident deal decisions.


Market trends

20%

of U.S. megadeals over $5B had an AI component or theme last year

Source https://www.pwc.com/us/en/services/consulting/deals/outlook.html
36%

of the increase in global deal value in 2025 was driven by AI-fueled megadeals

Source https://www.pwc.com/gx/en/services/deals/trends.html
92%

of investors believe the companies they invest in should increase their capital allocation to technological transformatio

Source https://www.pwc.com/gx/en/issues/c-suite-insights/global-investor-survey.html

Capabilities

AI maturity and readiness benchmarking

Assess a target’s real ability to build, scale, and govern AI before you commit. Using our proprietary AI maturity framework, we evaluate strategy, talent, technology, governance, and data foundations—mapped against industry benchmarks and peer-leading practices. Get a clear view of AI maturity that sharpens your investment thesis and shapes post-close priorities.

Operating model and organization design review

Understand how AI capabilities are actually structured and governed within a company. We review how AI teams are resourced, organized, and managed—identifying capability gaps and decision-making bottlenecks that can drag on growth and performance. Our findings clarify the operational changes required to scale AI post‑acquisition and the investment needed to close talent and governance shortfalls.

Product and platform assessments

An organization's technology is central to its value but can also be a source of hidden risk. We conduct deep-dive evaluations of product tech stacks for modularity, AI extensibility, and data architecture, examining scalability and surfacing risks in decentralized or early-stage environments. Our assessments identify constraints to scale, maintenance risks, and ecosystem dependencies so you can factor technical realities into your deal model and integration planning.

Red flag and roadmap velocity assessments

Roadmaps often promise more than teams can deliver. Through interview diagnostics and pipeline testing, we stress test roadmap realism, delivery pace, and risks from decentralized development or limited oversight. Spot red flags early so you have the confidence to move ahead—or the evidence to renegotiate before close.

Financial value and strategic alignment diagnostics

Connect projected returns to what’s technically achievable. We link use case ROI, technical feasibility, and resource requirements to quantify value creation potential and assess strategic fit. Use these insights to pressure‑test deal assumptions and confirm alignment with your investment goals.

Data and compliance risk diagnostics

Identify data risks that can derail AI performance or trigger regulatory blowback post‑close. We surface issues in data quality, labeling, privacy, and training pipelines—confirming alignment with responsible AI principles and readiness for post‑deployment monitoring. Use these diagnostics to understand data liabilities before you sign and build a remediation plan that protects enterprise value.


Insights


The AI revolution sounds promising, but companies must develop AI readiness to navigate emerging risks. Each CXO should adopt a holistic approach across strategy, people, tech, ethics, and development

Albert JanssenOffering Sales Leader, PwC US

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Bert Janssen

Principal, Deals Strategy and Value Creation, PwC US

Manoj Mahenthiran

Deals Strategy and Value Creation Leader, PwC US

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