Technology, data and AI due diligence for investors and acquirers

Independent technology, data and AI due diligence for private equity, investors and acquirers.

Buying a business? Understand the technology you are inheriting

For transactions, we assess the wider technology estate alongside data and AI capability. A deal may depend on a platform scaling, a team delivering or an integration being affordable. We test those assumptions against the target’s architecture, engineering, data, operations and available evidence.

The assessment connects technical findings to commercial implications: remediation, dependencies, operating costs and risks to the investment plan. It identifies what could change the price, timetable or conditions of the deal.

The written report is designed for the deal team and decision makers, with technical evidence available for closer examination. Missing access and untested claims are made explicit.

What it answers

Technology, data and AI, and the operating model around them

For private equity, investors and acquirers in M&A, the diligence tests the product and platform, the data assets and the AI claims, alongside the technical and architectural assessment: whether management’s AI plan is credible, where AI affects value and risk, and what the operating model will take to change. Legal, tax and financial diligence stay with the appropriate advisers.

  • Do the product and technology work as management describes?
  • How much of the AI is the target’s own, and how much is rented from a vendor?
  • Is management’s AI plan credible?
  • What proprietary data advantage actually exists?
  • Does the data estate support the stated strategy?
  • Is the product and platform fit for the growth plan?
  • What operational and technical debt will a buyer inherit?
  • What is the cloud, platform and supplier cost exposure?
  • How much rests on a few key people or undocumented knowledge?
  • Can the organisation realistically integrate acquisitions?
  • Where could AI disrupt revenue, or improve margin?
  • What workforce and process changes are likely?

We can work directly for private equity funds, operating partners and corporate acquirers, or alongside a specialist technology diligence firm.

After completion

From findings to the first 100 days

The findings become a plan management can run: what to fix first, which technology decisions can wait, which AI opportunities have real economics and where leadership cover is needed. We can stay with the portfolio company to deliver the first priorities, or hand the plan to its own team.

Private equity & investors

Who this is built for

  • Private equity funds and operating partners ahead of an investment decision
  • Venture and growth investors testing a technology or AI story
  • Acquirers in M&A assessing a target's technology and integration cost
  • Boards inheriting a platform they did not commission
  • Leadership teams preparing for a raise, sale or refinancing

What you receive

  • A written assessment with a clear, evidenced position on each area
  • A risk register, rated by commercial impact rather than technical severity
  • An indicative remediation and integration cost view
  • A first view of the 100-day priorities: what to fix first and what can wait
  • A briefing for the deal team or board, and follow-up availability

How the assessment runs

  1. Week 1Scope

    Deal thesis, data room, management sessions

  2. Weeks 2 to 3Evidence

    Architecture, code, data, team, security, delivery

    Interim view available early where a decision cannot wait

  3. Week 4Findings

    Commercial impact, remediation costs

  4. DecisionReport and briefing

    With the deal team

Planned for two to four weeks and scoped to the transaction timetable.

Typical investment

Fixed scope, fixed price

Know what the answer costs before we start. All figures ex VAT; the final fixed fee is confirmed after scoping.

Focused due diligence
from £10,000
Full diligence, scoped to deal size, complexity and timetable
typically £15,000 to £35,000+

What we need from you

  • The investment thesis, timetable and material technology assumptions
  • Access to the data room, architecture, engineering evidence and key staff
  • The deal team’s priorities and the scope of other advisers’ work

Scope and boundaries

  • Focused diligence from £10,000 addresses an agreed set of material questions.
  • A fuller assessment typically costs £15,000–£35,000+, depending on systems, access and timetable.
  • Penetration testing, legal opinions, financial audit and certification are separate specialist work.
  • The platform case study shows relevant assessment and remediation experience from our portfolio; it does not evidence an investment transaction.

Sample extract

What you get

An illustrative extract, not client data. The real document carries your evidence and your numbers.

TechGuidr

Sample extract

An extract from a diligence report

Finding
Data platform does not support the claimed scale
Evidence
Single-tenant architecture; no horizontal partitioning; load test failure at 4x current volume
Commercial impact
High. The growth case assumes 10x volume in 24 months
Deal implication
Price or plan should reflect a platform re-architecture
Sample finding
The headline price excluded integration, internal delivery time and exit cost. Each is quantified from the target's contracts, architecture and team evidence before a total is presented

Track record

Relevant work

On one platform review, at a UK learning and wellbeing business, the user experience suggested a product approaching enterprise readiness. Inspection of the underlying architecture found dashboards disconnected from live data and analytical calculations that did not implement the authoritative methodology. The intervention did not stop at the report: both applications, the iOS and Android apps and the underlying data platform were subsequently rebuilt.

Read the full story

Before you commit

Questions before you commit

What if the decision cannot wait for every answer?

We agree an interim view and distinguish established findings, open questions and the implications of deciding without further evidence.

Does the review certify the target as secure?

No. It examines agreed security and operational evidence within the diligence scope. Specialist testing or assurance is identified separately where needed.

What does technology due diligence cover?

The architecture, code and data, the team and how it delivers, security and resilience, technical debt and the cost to fix it, scalability, and whether management’s AI plan is credible. Findings are ranked by what would change the price or the decision.

How much does technology due diligence cost?

A focused assessment starts from £10,000 ex VAT. Full diligence is typically £15,000 to £35,000 and above, depending on the deal size, complexity and timetable.

How long does it take?

We plan for two to four weeks, with an interim view available early where the decision cannot wait.

Do you test the target’s AI claims?

Yes. We check what the AI actually does, what data it depends on, whether the business has the right to use that data, what it costs to run and whether the plan built on it is credible.

Can you assess a target’s data assets?

Yes. We look at which data is unique, how it is collected and kept current, whether the business can use it the way the plan assumes, and whether it is usable for the AI or products in the plan.

Tell us what you’re considering buying

Two or three sentences is enough. We will tell you straight whether and how we can help.