Question 1

What types of organisations do you work with?

Accepted Answer

We primarily work with private equity investors and their portfolio companies, typically mid-market businesses where data and AI can support value creation, operational efficiency, and growth.

We also support management teams preparing for investment, transformation, or exit.

Question 2

When are DataDiligence typically engaged?

Accepted Answer

Our work typically aligns with the investment lifecycle:
Pre-investment diligence – testing the data and AI assumptions in the investment case
During ownership – acting as Data & AI Operating Partners to define strategy and deliver value
Pre-exit – preparing the data and analytics story for buyer diligence

Question 3

What does a Data & AI Operating Partner actually do?

Accepted Answer

We act as an extension of the leadership team, providing strategic direction, delivery governance and accountability for outcomes. Rather than delivering isolated projects, we help define priorities, assemble the right expertise, oversee execution and ensure value is realised.

Question 4

Are you independent of software vendors?

Accepted Answer

Yes. We are not a reseller, implementation partner or licensed representative of any technology platform. We recommend technologies based on the needs of the business, not vendor relationships or sales targets.

Question 5

Can you support bolt-on acquisitions and data integration?

Accepted Answer

Yes. We regularly support portfolio companies assessing and integrating acquisitions. This includes data due diligence, integration planning, KPI harmonisation, reporting alignment and creation of a scalable data architecture capable of absorbing future acquisitions.

Question 6

Who delivers the work?

Accepted Answer

All due diligence, strategy, roadmap development, architecture, solution design and programme leadership is delivered directly by the DataDiligence team.

We do not outsource advisory work. Our clients work with experienced senior practitioners who have led hundreds of data, analytics and AI programmes across multiple sectors.

For implementation and delivery engagements, we often supplement our core team with carefully selected specialists from our extensive delivery network. This gives clients access to deep technical expertise across data engineering, AI, machine learning, cloud platforms and analytics without the cost and overhead of maintaining a large permanent bench.

Importantly, DataDiligence remains accountable throughout. We define the direction, design the solution, assemble the right team, govern delivery and ensure knowledge is transferred back into the business.

This model combines the strategic rigour of a specialist consultancy with the flexibility and scale of a broader delivery capability.

Question 7

Do you implement technology yourselves, or use third-party delivery partners?

Accepted Answer

We operate as the delivery lead and remain accountable for outcomes. Depending on the engagement, we may deliver directly, work alongside internal teams, or assemble specialist expertise from our trusted delivery network. DataDiligence provides the architecture, governance, programme leadership and quality assurance throughout.

Question 8

Do you build AI agents and copilots?

Accepted Answer

Yes. We support the design and deployment of AI applications, copilots and agents. However, we focus first on ensuring the underlying data, governance and business processes are suitable for AI adoption.

Question 9

Do you build technology platforms or only provide advisory services?

Accepted Answer

We provide both strategy and delivery.

Our work ranges from diligence and strategy through to implementation of data platforms, analytics, machine learning, and automation initiatives.

We often work alongside existing technology teams or implementation partners.

Question 10

What is a Business Data Twin?

Accepted Answer

A Business Data Twin is a business-friendly representation of how an organisation operates - in data. It creates a common language across systems, teams and reporting, providing a stable foundation for analytics, automation and AI. As systems change or acquisitions are integrated, the Business Data Twin ensures reporting and insight remain consistent.

Question 11

Do you support sell-side diligence and exit readiness?

Accepted Answer

Yes. We help management teams prepare for buyer diligence by assessing data maturity, documenting capabilities, validating AI initiatives and articulating the data and analytics story that underpins future value creation.

Question 12

What makes DataDiligence different from other data consultancies?

Accepted Answer

We focus specifically on the investor context.

Our work combines technical data expertise with commercial understanding of value creation, ensuring that analytics, automation, and AI initiatives translate into measurable operational and financial impact.

Question 13

Do we need a Chief Data Officer before working with you?

Accepted Answer

No. Many of our clients do not have an in-house data leader. We frequently operate as an interim Chief Data & AI Officer, providing leadership and governance until internal capability is established.

Question 14

What information do you need to get started?

Accepted Answer

For diligence engagements we typically request access to:
Data room materials
System architecture overview
Sample datasets or database access
Key operational systems (ERP, CRM, platforms)

For strategy or delivery engagements we begin with management interviews and system discovery.

Question 15

How long do engagements typically last?

Accepted Answer

Engagement duration depends on the scope.

Typical timeframes include:
Data & AI diligence: 1–3 weeks
Data strategy: 4–8 weeks
Delivery and operating partner support: multi-month programmes aligned to value creation plans
Exit readiness and VDD: typically 3–6 weeks depending on scope

Question 16

Do you work remotely or on site?

Accepted Answer

Most of our work can be delivered remotely, particularly diligence and analytical assessments.

For strategy and delivery engagements we often combine remote collaboration with targeted on-site workshops, particularly when working closely with management teams.

Question 17

How do you typically charge for engagements?

Accepted Answer

Most engagements are delivered on a fixed-fee basis aligned to a clearly defined scope.

For longer delivery programmes or operating partner roles we may work on retained or phased engagements aligned to the portfolio company’s value creation plan.

A few practical questions

Frequently asked questions