Summary

David Whitcombe (Founder & Managing Director, Data Vision Services) explains what it takes for private equity-backed businesses to move beyond “AI as a chatbot” and start embedding it into day-to-day workflows. We discuss why the real bottlenecks are people, unstructured data, and governance, and where the most immediate commercial upside sits, especially around revenue retention, churn, and pricing. David also makes the case that what used to be “exit prep” is increasingly “AI readiness” and should happen earlier in the hold period.

Takeaways

• Move beyond chatbots by embedding AI into core workflows.
• Biggest blockers: people, unstructured data, and sensible governance.
• Fast value: churn prediction, outreach triggers, pricing and packaging.
• Dashboards aren’t enough; push insights to frontline decision-makers.
• Exit prep is AI readiness; start earlier to compound value

Chapters

00:00 Introduction
02:39 The Shift from Chatbots to AI Integration
05:33 Overcoming Barriers to AI Adoption
08:09 Cultural Factors in AI Implementation
10:48 Commercial Opportunities in Private Equity
12:39 Transforming Pricing and Revenue Models
15:21 Democratizing Insights through AI
18:01 Impact on Manufacturing and Reporting
20:39 AI Readiness and Exit Preparation

Links

• David on LinkedIn: https://www.linkedin.com/in/david-whitcombe-4a3bb331/
• Data Vision Services - https://datavisionservices.com

AI Pathfinder Private Equity AI Strategy Meet-ups: 

https://www.aipathfinder.co/private-equity-ai-events

Have a question or would like to suggest improvements, please contact [email protected]

Summary

In this episode of the AI Pathfinder podcast, host Steve Budd speaks with Maria Bruun, founder and CEO of Seecon, about the transformative potential of AI in financial due diligence for private equity firms. Maria shares her extensive background in M&A and highlights the inefficiencies in traditional due diligence processes and her current purpose to build an AI business to redefine financial due diligence and deal preparation. The conversation explores how AI can automate data gathering, enhance analysis, and ultimately streamline the due diligence workflow. Maria emphasises the importance of human insight in interpreting data and discusses the challenges of adopting new technologies in a conservative industry. The episode concludes with a vision for the future of financial due diligence, where AI plays a central role in preparing companies for successful exits.

Takeaways

• AI can significantly enhance the efficiency of financial due diligence processes
• Automation can reduce manual errors and speed up data gathering
• Human insight is still crucial for contextualising financial data
• Competitive advantages can be gained by leveraging AI in deal evaluations.

Chapters

00:00 Introduction to AI Pathfinder and Seecon
01:28 Maria's Background and Experience in Financial Due Diligence
03:13 Identifying Inefficiencies in Financial Due Diligence
05:56 The Role of AI in Enhancing Due Diligence Processes
09:56 Automation vs. Human Insight in Financial Analysis
11:53 Adoption Challenges and the Importance of User Experience
15:02 Building Trust in AI Solutions for Financial Teams
15:59 Future of Exit Readiness for PE-Backed Companies
17:08 The CFO's Role in Financial Due Diligence
18:46 Preparing for AI Adoption in Financial Processes
21:17 Competitive Advantages of Using AI in Due Diligence
22:45 Envisioning the Future of Financial Due Diligence
24:20 The Evolving Role of Advisors in Financial Transactions

Links

Maria on LinkedIn

Seecon website

AI Pathfinder Private Equity AI Strategy Meet-ups: 

https://www.aipathfinder.co/private-equity-ai-events

Have a question or would like to suggest improvements, please contact [email protected]

Summary

In this episode of the AI Pathfinder for Private Equity podcast, host Steve Budd discusses the critical role of AI governance with experts Graeme Cox and Sarah Clarke from Attercop. They explore the misconceptions surrounding AI governance, emphasising its importance as a value enabler rather than a hindrance to innovation. The conversation covers various themes, including the risks associated with AI liability, the parallels between AI governance and cybersecurity, and the necessity for private equity firms to understand and manage AI risks within their portfolio companies. The guests highlight the importance of visibility, education, and a structured approach to governance to leverage AI effectively while mitigating risks.

Takeaways

• AI governance is often misunderstood as a cost rather than a value enabler
• AI governance is becoming essential, akin to cybersecurity hygiene
• AI governance frameworks are still developing and need to be prioritised
• Understanding AI risks requires a focus on use cases rather than tools
• Effective governance can lead to competitive advantages

Chapters

00:00 Introduction to AI Pathfinder and Governance
03:34 Understanding AI Liability and Governance Risks
08:39 AI Governance as Cybersecurity Hygiene
11:09 The Evolution of AI Governance
14:41 Visibility and Management of AI Risks
21:33 The Role of Private Equity in AI Governance
23:50 Linking AI Use Cases to ROI and Risk
26:40 AI Governance as a Competitive Differentiator
31:20 First Steps in AI Governance Implementation

Links

Attercop website
Graeme Cox on LinkedIn and Sarah Clarke on LinkedIn

AI Pathfinder Private Equity AI Strategy Meet-ups: 

https://www.aipathfinder.co/private-equity-ai-events

Have a question or would like to suggest improvements, please contact [email protected]

Summary

In this episode of the AI Pathfinder for Private Equity podcast, Steve Budd and Eleanor Hobson discuss the growing liability concerns surrounding AI technologies, particularly for mid-market companies. They explore the risks associated with GenAI, the challenges in contractual agreements, and the implications of the EU AI Act. Eleanor provides insights on how portfolio companies can mitigate risks and emphasises the importance of AI literacy and compliance in navigating this evolving landscape. The conversation highlights the need for a strategic approach to AI adoption and the potential future trends in the industry.

Takeaways

• AI is not just an opportunity; it also brings significant liability
• Mid-market companies are feeling squeezed between AI providers and customer demands
• Generative AI tools create a complex risk landscape for businesses
• Contractual obligations are shifting, placing more risk on AI users
• The EU AI Act introduces new expectations for documentation and compliance
• AI literacy is essential for both providers and customers

Links

Kemp IT Law website

Eleanor Hobson on on LinkedIn

AI Pathfinder Private Equity AI Strategy Meet-ups: 

https://www.aipathfinder.co/private-equity-ai-events

Have a question or would like to suggest improvements, please contact [email protected]

Summary

In this episode of the AI Pathfinder for Private Equity podcast, host Steve Budd and guest Brian Briggs discuss the evolving landscape of AI in private equity, particularly focusing on due diligence processes. They explore how AI is reshaping investor inquiries, the risks and opportunities it presents, and the importance of integrating AI considerations into investment strategies. The conversation highlights the need for a robust framework for AI due diligence, the significance of executive buy-in, and the necessity of aligning AI initiatives with core business metrics. Additionally, they provide insights on preparing for AI integration and the importance of education within private equity firms.

Takeaways

• AI is transforming the questions investors ask during due diligence
• Disruption risk is a significant concern for investors in AI
• Investors should assess the maturity of a company's AI initiatives
• A strong framework for AI due diligence is necessary for investors
• Metrics for AI initiatives should align with core business objectives

Chapters

00:00 Introduction to AI Pathfinder and Today's Topic
02:45 Insights from the AI Diligence Panel
05:16 AI's Impact on Investor Questions
08:18 The Human Element in AI Adoption
10:53 Identifying Opportunities Amid Disruption
13:46 Evolving Diligence Frameworks for AI
16:03 Red Flags in AI Readiness
18:42 Value Creation Post-Deal with AI
21:16 Short-Term vs Long-Term AI Strategies
24:04 Building AI Capabilities in Private Equity
25:54 Conclusion and Key Takeaways

Links

RingStone website

Brian Briggs on LinkedIn

AI Pathfinder Private Equity AI Strategy Meet-ups: 

https://www.aipathfinder.co/private-equity-ai-events

Have a question or would like to suggest improvements, please contact [email protected]

Summary

In this episode of the AI Pathfinder for Private Equity podcast, host Steve Budd speaks with Margo Polishchuk, co-founder and president of ProSapient, about the evolution of primary research in private equity. Margo shares her journey from the expert networking industry to founding ProSapient, emphasising the importance of customer-centric innovation and the integration of technology in research workflows. The conversation explores the impact of generative AI on the industry, the necessity of maintaining a human element in AI-driven solutions, and the evolving expectations of private equity firms. Margo also discusses best practices for firms to prepare for tech-enabled research.

Takeaways

• Generative AI is reshaping research workflows in private equity
• The integration of technology must maintain a human element
• AI can enhance the speed and precision of expert intelligence
• Firms need to adapt to evolving customer expectations

Chapters

00:00 Introduction to ProSapient and AI in Private Equity
01:07 Margo's Founder Story and Market Insights
03:46 Identifying Gaps in Expert Networking
10:14 Integrating AI into ProSapient's Model
13:04 The Role of Generative AI in Due Diligence
18:13 Customer Expectations and Market Dynamics
21:12 Preparing for ProSapient: Best Practices for PE Firms
23:15 Unlocking Unique Insights through Expert Conversations
25:00 Challenges in Building a Tech-Enabled Service
27:13 Future Directions and Geographic Expansion

Links

Margo's LinkedIn

ProSapient

AI Pathfinder Private Equity AI Strategy Meet-ups: 

https://www.aipathfinder.co/private-equity-ai-events

Have a question or would like to suggest improvements, please contact [email protected]

Summary

In this episode Steve Budd speaks with Al Cattell, founder of GiantKelp, about the practical applications of AI in private equity and business processes. They discuss the importance of using AI to automate workflows, the challenges of managing expectations, and the role of subject matter experts in successful AI deployment. Al shares insights from his experience in helping firms identify use cases for AI and the significance of starting small with controlled projects to build momentum for future initiatives.

Takeaways

• AI is not a magic solution; it requires careful implementation
• Successful AI projects often start with internal-facing tools
• Managing expectations is crucial when introducing AI
• Subject matter experts play a vital role in AI success
• Small, controlled use cases can lead to significant improvements.
• Building momentum is essential for broader AI adoption.
• The landscape of AI is rapidly evolving, requiring agile strategies.

Chapters

00:00 Introduction to AI in Private Equity
01:14 The Birth of Giant Kelp and AI Exploration
03:58 Identifying Workflow Automation Opportunities
06:05 Successful AI Deployment Criteria
09:12 Building Minimum Viable AI Products
13:41 Expectation Management in AI Projects
16:01 The Role of Subject Matter Experts
16:09 Trust and Branding in AI-Driven Legal Work
19:50 Case Study: AI Implementation in a Law Firm
28:32 Advice for Scaling AI Strategies

Links

Al's LinkedIn

GiantKelp

AI Pathfinder Private Equity AI Strategy Meet-ups:

https://www.aipathfinder.co/ai-strategy-day
https://www.aipathfinder.co/breakfast-briefings

Have a question or would like to suggest improvements, please contact [email protected]

AI Pathfinder Private Equity AI Strategy Meet-ups: 

https://www.aipathfinder.co/private-equity-ai-events

Have a question or would like to suggest improvements, please contact [email protected]

Summary
In this episode of the AI Pathfinder for Private Equity podcast, Steve Budd speaks with Simon Walker, co-founder of Kubrick Group, about the critical role of AI in private equity and portfolio companies. They discuss the evolution of AI capabilities, the urgency for private equity firms to adopt AI, and the importance of collaboration among portfolio companies. Simon shares insights on real-world applications of AI in sales and finance, the necessity of measuring AI success, and the cultural challenges faced in AI adoption. The conversation emphasises the need for proactive strategies and clear ownership of AI initiatives to drive value and innovation in the private equity sector.

Takeaways

• AI is becoming essential for competitive advantage in private equity
• The urgency for private equity firms to adopt AI is increasing
• Collaboration among portfolio companies can accelerate AI adoption
• AI initiatives should have clear ownership to avoid failure
• AI should be viewed as a tool for tactical wins
• Setting realistic expectations for AI outcomes is important
• AI products require ongoing investment and development

Chapters
00:00 Introduction to AI in Private Equity
00:57 The Evolution of Kubrick and AI Solutions
02:50 The Urgency of AI in Portfolio Companies
04:32 Use Cases and Real-World Applications of AI
06:13 Mandating AI Implementation in Portfolio Companies
08:40 Accelerating AI Adoption Across Portfolio Companies
11:55 Measuring AI Success and Setting Expectations
13:47 The Importance of Defined AI Use Cases
15:29 Standardizing AI Readiness Across Portfolios
16:18 Identifying Skills Gaps in AI Implementation
19:23 The Role of Stakeholders in AI Projects
21:41 Kubrick's Focus on Talent and Capability
23:46 Preparing for the Future of AI in Private Equity
25:42 Cultural Challenges in AI Adoption
29:13 Conclusion and Key Takeaways

Links

Simon's LinkedIn: https://www.linkedin.com/in/simon-walker-8763b9/

Kubrick Group: https://www.kubrickgroup.com/uk/

AI Pathfinder Private Equity AI Strategy Meet-ups: 

https://www.aipathfinder.co/private-equity-ai-events

Have a question or would like to suggest improvements, please contact [email protected]

Summary
In this episode of the AI Pathfinder for Private Equity podcast, Steve Budd interviews Phil Westcott, CEO and co-founder of Filament Syfter. They discuss the transformative role of AI in private equity, focusing on how Filament Syfter helps firms build proprietary market intelligence to enhance deal origination. Phil shares insights on the inefficiencies in traditional processes, the importance of integrating data, and the competitive edge that AI can provide. The conversation also touches on the cultural shifts within private equity firms as they adapt to new technologies and the strategic steps they can take to leverage AI effectively.

Takeaways

• The traditional deal origination process is often inefficient
• Private equity firms need to integrate their data for better insights
• AI can help firms identify and track the best fit deals
• Building a proprietary engine is crucial for competitive advantage
• Human insight remains essential in the AI-driven process
• Cultural shifts are necessary for successful AI adoption in private equity

Chapters
00:00 Introduction to AI in Private Equity
02:33 The Journey of Filament Sifter
05:22 Identifying Opportunities in Private Markets
07:51 Transforming Deal Origination Processes
10:31 Building Proprietary Market Intelligence
13:09 Leveraging AI for Competitive Advantage
15:51 Measuring ROI in Deal Origination
18:31 Cultural Shifts in Private Equity
20:40 Next Steps for Private Equity Firms
23:17 Future of Data and AI in Private Equity

Links

Phil's LinkedIn: https://www.linkedin.com/in/philwestcott/

Filament Syfter: https://filament.ai/

AI Pathfinder Private Equity AI Strategy Meet-ups: 

https://www.aipathfinder.co/private-equity-ai-events

Have a question or would like to suggest improvements, please contact [email protected]

Summary
In this episode of the AI Pathfinder for Private Equity podcast, host Steve Budd speaks with Dan Thompson, CEO of Kluster, about the critical role of accurate forecasting in private equity. They discuss the challenges faced by private equity firms in forecasting, the concept of private equity grade forecasting, and how Kluster's unique approach leverages AI and data integration to enhance forecasting accuracy. The conversation also touches on the importance of data quality, the dynamics between private equity firms and their portfolio companies, and the future of forecasting in the industry.

Takeaways

• Accurate forecasting is crucial for private equity firms
• Different stakeholders have varying definitions of forecasts
• AI can significantly enhance forecasting accuracy and insights
• Data quality is often a major barrier to effective forecasting
• Sales cycles are lengthening, impacting revenue predictions
• Standardising forecasting definitions across teams is essential
• The future of forecasting may involve more autonomous systems

Chapters
00:00 Introduction to AI in Private Equity
00:54 The Importance of Accurate Forecasting
03:07 Challenges in Forecasting
06:41 Understanding Private Equity Grade Forecasting
08:28 Kluster's Unique Approach to Forecasting
12:08 Data Management and Its Impact on Forecasting
14:14 Changing Behaviors in Data Capture
17:06 Surprising Patterns in Sales Data
21:13 The Dynamic Between PE Firms and PortCos
23:55 Turning Forecasts into Action
25:34 Raising the Forecasting Game
27:54 The Future of Forecasting
31:23 Incorporating External Factors into Forecasting

Links

Dan's LinkedIn: https://www.linkedin.com/in/dan-thompson-kluster/

Kluster website: https://www.kluster.com/

AI Pathfinder Private Equity AI Strategy Meet-ups: 

https://www.aipathfinder.co/private-equity-ai-events

Have a question or would like to suggest improvements, please contact [email protected]