Oct 29, 2025

ZCG PE Insights: AI Transformation and the Impact of Technical Debt

ZCG PE Insights: AI Transformation and the Impact of Technical Debt

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Founder, President & CEO
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Technical Debt: A Drag on PE Returns

Legacy technology, siloed data, and manual operations create hidden liabilities that undermine acquisition success. These inefficiencies slow integration, drain resources, and extend timelines, making thorough due diligence essential. Identifying tech debt early helps to avoid costly surprises, as unaddressed issues can consume significant time and capital, derail value creation and increasing investment risk.

In healthcare, for example, tech debt can consume up to 40% of IT budgets, diverting funds from growth and value creation initiatives. This underscores the importance of robust pre-deal technology assessments to uncover vulnerabilities in software and infrastructure (2).

Upgrading technology upgrades post-acquisition, such as adding AI analytics, automation, and workflow modernization, can transform technical debt into a value-creating asset. Companies with modern, tech-enabled systems command premium valuations, while those burdened by legacy infrastructure often face discounts. 

Nearly 71% of PE firms invested in digital transformation in 2024, and 67% prioritized AI, reinforcing that technology enablement is now essential for maintaining competitiveness (3).

Figure 1: U.S. Private Equity Exit Trends (in Years) (1)

A blue and red lineAI-generated content may be incorrect.

AI Helps at the Portfolio Company Level

AI is reshaping how portfolio companies optimize operations, manage costs, and drive growth. 

Operational Optimization

Portfolio companies are leveraging AI to production planning, dynamic pricing, and inventory management. Machine learning models help streamline schedules, reduce waste, and balance inventory, preventing both stockouts and overproduction. 

In pricing, AI-driven algorithms adjust dynamically to customer behavior, competitor actions, and market conditions, maximizing top-line growth and margin expansion (5). Inventory optimization further enhances working-capital efficiency and reduce carrying costs, a key advantage industry with complex supply chains or high input costs (6).

Customer Engagement and Growth

AI is also transforming customer engagement and marketing strategy. Predictive analytics and segmentation models identify high-value customer cohorts and tailor campaigns to their preferences (7). Generative AI enables personalized content on a scale, improving conversion rates, retention, and overall customer lifetime value. 

By focusing resources on the most promising leads, companies reduce acquisition costs while accelerating top-line growth. These enhancements strengthen both the customer value proposition and the growth narrative at exit.

Execution and Efficiency

Beyond growth, AI reduces repetitive workloads and accelerates execution. Intelligent automation handles routine, rules-based processes, freeing employees to focus on higher-value initiatives. 

AI-powered dashboards aggregate data across systems, delivering real-time insights and actionable recommendations. This enhances decision-making, lowers costs, and supports scalability, helping portfolio companies achieve faster, more resilient value creation throughout the investment lifecycle.

Figure 2: Future-Built vs. Laggards: The ROI of AI and IT Investment(4)

A graph of a graph showing the cost reduction and the cost reduction of the cost reductionAI-generated content may be incorrect.

AI Powered Strategies at the Sponsor Level

At the portfolio company level, AI is also revolutionizing how private equity and private credit firms source, evaluate, and execute investments. Beyond automation, AI delivers intelligence augmentation, enhancing the analytical depth and relational understanding behind successful dealmaking.

Enhances Due Diligence and Analysis

 AI tools can rapidly synthesize large datasets that would traditionally take analysts weeks to process. Machine learning models detect anomalies in financials and benchmark performance against peer sets. 

Natural language processing (NLP) extracts insights from management presentations, filings, and transcripts, surfacing sentiment and risk signals that might otherwise go unnoticed. This doesn’t replace human judgment, its refines it, enabling sponsors to make faster, more confident investment decisions with a fuller understanding of risk-adjusted value.

At ZCG, with the support of our technology affiliate Haptiq, we use an AI platform that integrates macro- and micro-level analysis to generate nuanced views on industries and individual credit quality.

Relationship Intelligence

Equally transformative is AI-driven relationship mapping. By analyzing CRM data, contact lists, meeting notes, and external sources such as LinkedIn or media mentions, AI  can construct sophisticated network graphs that reveal the strength and depth of connections. 

Sponsors can identify the most efficient path to management teams, limited partners, or co-investors; track sentiment across engagements; and uncover where relationship capital is under- or over-leveraged. 

This intelligence provides a competitive advantage not just in finding opportunities, but in winning them.

The Next Frontier: Converging Intelligence

As AI systems continue to learn from firm-specific data, the integration of analytical and relational intelligence will define institutional advantage. 

The next wave of alpha generation may come not just from better models or data, but from the fusion of quantitative insight and relational depth, powered by intelligent systems designed to think and connect as dynamically as their human counterparts.

Sources

1 Haptiq

2 AlixPartners (https://www.alixpartners.com/insights/102l0c1/tackling-tech-debt-unlocking-value-in-healthcare-portfolio-companies/)

3 PwC (https://www.pwc.dk/da/publikationer/2025/pwc-private-equity-trend-report-2025-final.pdf)

4 BCG (https://media-publications.bcg.com/The-Widening-AI-Value-Gap-Sept-2025.pdf)

5 Lumenalta (https://lumenalta.com/insights/ai-in-private-equity:-portfolio-management-to-value-creation)

6 PwC (https://www.pwc.com/us/en/tech-effect/ai-analytics/generative-ai-strategy-for-private-equity-portfolio-companies.html)

7 BDO (https://www.bdo.com/insights/industries/private-equity/ai-use-case-portfolio-for-private-equity)

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1

Technical Debt Erodes Investment Returns

Legacy systems, fragmented data, and manual processes carry a real cost for investors. Outdated infrastructure slows post-acquisition integration, limit scalability, and heighten operational risk. Proactively identifying and addressing technical debt is critical to maximizing valuations and avoiding acquisitions with hidden structural issues.

2

Generative AI as a Value-Creation Engine for Portfolio Companies

Private equity firms are increasingly deploying generative AI within portfolio companies to improve operational efficiency, automate repetitive tasks, and optimize workflows. AI is also enhancing customer insights, streamlining production, and driving revenue growth.

3

AI-Powered Strategies and Risk Management for Sponsors

At the sponsor level, AI is transforming deal sourcing, due diligence, and portfolio monitoring. These tools deliver deeper insights into market trends, competitive positioning, and potential risks, enabling sponsors to make more informed investment decisions and maximize returns.

Technical Debt: A Drag on PE Returns

Legacy technology, siloed data, and manual operations create hidden liabilities that undermine acquisition success. These inefficiencies slow integration, drain resources, and extend timelines, making thorough due diligence essential. Identifying tech debt early helps to avoid costly surprises, as unaddressed issues can consume significant time and capital, derail value creation and increasing investment risk.

In healthcare, for example, tech debt can consume up to 40% of IT budgets, diverting funds from growth and value creation initiatives. This underscores the importance of robust pre-deal technology assessments to uncover vulnerabilities in software and infrastructure (2).

Upgrading technology upgrades post-acquisition, such as adding AI analytics, automation, and workflow modernization, can transform technical debt into a value-creating asset. Companies with modern, tech-enabled systems command premium valuations, while those burdened by legacy infrastructure often face discounts. 

Nearly 71% of PE firms invested in digital transformation in 2024, and 67% prioritized AI, reinforcing that technology enablement is now essential for maintaining competitiveness (3).

Figure 1: U.S. Private Equity Exit Trends (in Years) (1)

A blue and red lineAI-generated content may be incorrect.

AI Helps at the Portfolio Company Level

AI is reshaping how portfolio companies optimize operations, manage costs, and drive growth. 

Operational Optimization

Portfolio companies are leveraging AI to production planning, dynamic pricing, and inventory management. Machine learning models help streamline schedules, reduce waste, and balance inventory, preventing both stockouts and overproduction. 

In pricing, AI-driven algorithms adjust dynamically to customer behavior, competitor actions, and market conditions, maximizing top-line growth and margin expansion (5). Inventory optimization further enhances working-capital efficiency and reduce carrying costs, a key advantage industry with complex supply chains or high input costs (6).

Customer Engagement and Growth

AI is also transforming customer engagement and marketing strategy. Predictive analytics and segmentation models identify high-value customer cohorts and tailor campaigns to their preferences (7). Generative AI enables personalized content on a scale, improving conversion rates, retention, and overall customer lifetime value. 

By focusing resources on the most promising leads, companies reduce acquisition costs while accelerating top-line growth. These enhancements strengthen both the customer value proposition and the growth narrative at exit.

Execution and Efficiency

Beyond growth, AI reduces repetitive workloads and accelerates execution. Intelligent automation handles routine, rules-based processes, freeing employees to focus on higher-value initiatives. 

AI-powered dashboards aggregate data across systems, delivering real-time insights and actionable recommendations. This enhances decision-making, lowers costs, and supports scalability, helping portfolio companies achieve faster, more resilient value creation throughout the investment lifecycle.

Figure 2: Future-Built vs. Laggards: The ROI of AI and IT Investment(4)

A graph of a graph showing the cost reduction and the cost reduction of the cost reductionAI-generated content may be incorrect.

AI Powered Strategies at the Sponsor Level

At the portfolio company level, AI is also revolutionizing how private equity and private credit firms source, evaluate, and execute investments. Beyond automation, AI delivers intelligence augmentation, enhancing the analytical depth and relational understanding behind successful dealmaking.

Enhances Due Diligence and Analysis

 AI tools can rapidly synthesize large datasets that would traditionally take analysts weeks to process. Machine learning models detect anomalies in financials and benchmark performance against peer sets. 

Natural language processing (NLP) extracts insights from management presentations, filings, and transcripts, surfacing sentiment and risk signals that might otherwise go unnoticed. This doesn’t replace human judgment, its refines it, enabling sponsors to make faster, more confident investment decisions with a fuller understanding of risk-adjusted value.

At ZCG, with the support of our technology affiliate Haptiq, we use an AI platform that integrates macro- and micro-level analysis to generate nuanced views on industries and individual credit quality.

Relationship Intelligence

Equally transformative is AI-driven relationship mapping. By analyzing CRM data, contact lists, meeting notes, and external sources such as LinkedIn or media mentions, AI  can construct sophisticated network graphs that reveal the strength and depth of connections. 

Sponsors can identify the most efficient path to management teams, limited partners, or co-investors; track sentiment across engagements; and uncover where relationship capital is under- or over-leveraged. 

This intelligence provides a competitive advantage not just in finding opportunities, but in winning them.

The Next Frontier: Converging Intelligence

As AI systems continue to learn from firm-specific data, the integration of analytical and relational intelligence will define institutional advantage. 

The next wave of alpha generation may come not just from better models or data, but from the fusion of quantitative insight and relational depth, powered by intelligent systems designed to think and connect as dynamically as their human counterparts.

Sources

1 Haptiq

2 AlixPartners (https://www.alixpartners.com/insights/102l0c1/tackling-tech-debt-unlocking-value-in-healthcare-portfolio-companies/)

3 PwC (https://www.pwc.dk/da/publikationer/2025/pwc-private-equity-trend-report-2025-final.pdf)

4 BCG (https://media-publications.bcg.com/The-Widening-AI-Value-Gap-Sept-2025.pdf)

5 Lumenalta (https://lumenalta.com/insights/ai-in-private-equity:-portfolio-management-to-value-creation)

6 PwC (https://www.pwc.com/us/en/tech-effect/ai-analytics/generative-ai-strategy-for-private-equity-portfolio-companies.html)

7 BDO (https://www.bdo.com/insights/industries/private-equity/ai-use-case-portfolio-for-private-equity)

About

ZCG

ZCG is a leading, privately held global firm comprised of private markets asset management, business consulting services, and technology development and solutions.

ZCG’s investors are some of the largest and most sophisticated global institutional investors including pension funds, endowments, foundations, sovereign wealth funds, central banks, and insurance companies.

For almost 30 years, ZCG Principals have invested tens of billions of dollars of capital. ZCG has a global team comprised of approximately 400 professionals. ZCG is headquartered in New York, with seven affiliated offices, across five countries. For more information on ZCG, please visit www.zcg.com.

You can also learn more about ZCGC, the business consulting services platform of ZCG, at www.zcgc.com, and explore ZCG’s technology affiliate, Haptiq, at www.haptiq.com.

About

About

ZCG

ZCG is a leading, privately held global firm comprised of private markets asset management, business consulting services, and technology development and solutions.

ZCG’s investors are some of the largest and most sophisticated global institutional investors including pension funds, endowments, foundations, sovereign wealth funds, central banks, and insurance companies.

For almost 30 years, ZCG Principals have invested tens of billions of dollars of capital. ZCG has a global team comprised of approximately 400 professionals. ZCG is headquartered in New York, with seven affiliated offices, across five countries. For more information on ZCG, please visit www.zcg.com.

You can also learn more about ZCGC, the business consulting services platform of ZCG, at www.zcgc.com, and explore ZCG’s technology affiliate, Haptiq, at www.haptiq.com.

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