Private equity

AI due diligence for deal teams

With GenAI dominating board agendas and disrupting industries, what unseen risk—and unseen value—is hidden in your next acquisition?

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Key Questions

Mitigate risk, maximise returns

Amongst the AI hype, sellers' representations can’t be taken at face value.

Datasparq’s experienced AI practitioners will give you the real view of the risks and opportunities—reporting on the following key areas:

Risk mitigation

Identification of key threats to the industry and asset caused by AI and define the specific defensive measures to consider when assessing an investment.

What are the latest AI technologies to pay attention to?
How do these technologies create an existential threat to the asset or the industry?
Do these new technologies enable a new entrant to compete quickly and more cost effectively?
Are there any obvious vulnerabilities in current data/AI capabilities that could put the proposition at risk?

Value protection

Definition of priority initiatives to ensure data, technology and AI capabilities of the asset remain robust and defensible throughout future growth.

What competitive advantage does data/AI provide the asset and how defensible is this?
What’s the ‘people risk’ associated with maintaining and evolving data/AI?
Is the underlying data quality, code quality and technical foundation robust and suitable for scale?
What’s the asset’s readiness-level for data/AI solutions to be developed and deployed?

Alpha generation

Quantification of tangible upside opportunities for data and AI.

What are the opportunities for data/AI to transform and accelerate enterprise value, and where has this been proven?
How can value levers across revenue growth, efficiency, new products and services, improved customer experience and CX be improved with data/AI quick-wins?
What are the specific use-cases, how feasible are they, what would they cost and what’s the ROI?
What’s a realistic delivery timetable that realises value during this investment period, but leaves a compelling roadmap of opportunities for the next investor?

Board direction

Actionable recommendations, with costed delivery schedule to inform investment case, 100 day plan and beyond.

What are the immediate threats to mitigate (defensive) and ‘golden egg’ use-cases (offensive) to prioritise?
Where to start and execute in the 100 day plan, and what to ignore for later?
What’s the investment required to deliver the potential, and how should this inform the investment case?
Who are the key personnel and partners to lead/hire/engage to own and execute this at all levels of the organisation?
What is the practical plan to execute?

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Whitepaper

Everything you need to know about AI due diligence... in one place

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Unlock superior deal flow: Understand the value creation opportunities of AI across industries and identify high-growth opportunities to make informed investment decisions.‍
Mitigate risk, maximise returns: Learn what to ask about a target company's AI strategy, talent and data infrastructure to mitigate risks and maximise returns.
Invest with confidence: Gain the knowledge and tools to navigate the era of AI and future-proof your investment decisions.

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“This was no confirmatory DD exercise! Datasparq’s process was forward-looking and provided quantified and deliverable upside opportunity to our investment case whilst establishing an early, trusted partnership with the company's management team. We're excited to be working with Datasparq to deliver valuable AI initiatives.”

—ROBERT DEVONSHIRE, PARTNER @ MML

Tech partner

Datasparq—your partner for AI transformation

We help private equity firms navigate the threats & opportunities of AI across their portfolios—tackling complex, high-value business challenges with leading-edge technology.

Business impact

Value creation for private equity firms

It's not just about technology—it's about maximising business value. Datasparq combines technical know-how with a deep understanding of the commercial implications of AI as it applies to private equity. Simply put, we'll help you maximise returns across your portfolio using AI.

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Helping PE investors and their portfolios

Private equity

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To find out more about Datasparq's work with Private Equity both pre- and post-deal, download our whitepaper

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