§ Technology assessment · Operational capability · Investment risk

Industrial AI due diligence for private equity and strategic investors.

Independent technology and operational due diligence for PE sponsors, sovereign wealth funds and corporate M&A evaluating industrial AI targets, platforms or deployment capabilities. The assessment covers what the target claims its AI can do, what it actually does in production, and what the technology and operational risks are for the investor. This is investment-grade assessment — not project delivery or ongoing consulting. For board-level governance of AI strategy, see our board advisory service; for operational execution, our project leadership practice.

Tell us what you need. Within 48 h we propose the experts who fit.

Two or three profiles from our network, with availability and indicative terms. No cost, no commitment.

I'm looking for

Thank you. We will match your brief against the network and propose two or three experts within 48 business hours. All conversations are confidential.

Profiles are shared confidentially with you. If nobody in the network fits, we will say so just as quickly. More detail to share? Complete the full brief →

We provide due diligence experts with production AI experience in automotive, aerospace, food, pharmaceutical, energy and chemicals. Tell us the target and the transaction type, and within 48 hours we propose two or three independent assessors, including availability and indicative terms.

ForPE sponsors, SWFs, corporate M&A and investment committees
FocusTechnology · Capability · Risk · Independence
ResponseA shortlist of assessors within 48 h
01 When due diligence is needed

Four situations that call for independent AI assessment.

01

An industrial AI company is being acquired

A PE sponsor or strategic buyer is acquiring a company that claims AI capability. Independent assessment verifies what the technology actually does in production and where the gaps are between claims and reality.

02

An AI platform is being selected for a portfolio company

A PE firm needs to standardise AI across portfolio companies or select a platform before a major investment. Independent due diligence cuts through vendor claims and technical jargon.

03

A traditional manufacturer is being assessed for AI readiness

An investor is acquiring an industrial company and needs to understand its AI readiness: data infrastructure, talent, deployed systems and the realistic upside from AI investments.

04

A partnership or joint venture is being evaluated

A corporate or sovereign fund is considering a partnership or JV with an AI technology provider. Due diligence assesses the technology, the team and the deployment track record before commitments are made.

02 Decisions the assessment informs

Where due diligence changes the investment decision.

The assessment gives the investment committee, the deal team and the board the independent technical judgment they need to price risk, structure the deal and plan post-acquisition. It does not run the company — it informs the decision to buy, partner or select.

  • Go or no-go — whether the AI capability is real, deployable and defensible, or whether the claims do not survive technical scrutiny.
  • Valuation adjustment — where the technology gaps, integration costs or talent risks justify a price adjustment or an escrow structure.
  • Post-acquisition plan — what it will take to industrialise the AI capability, including architecture, talent and integration investments.
  • Platform selection — which AI platform or vendor to standardise across portfolio companies, with independent comparison of capabilities and lock-in risk.
  • Risk identification — technology debt, data dependencies, model risk, regulatory exposure and key-person dependencies that affect the investment thesis.
  • Deal structuring — earn-outs, warranties or representations tied to AI capability milestones, informed by technical reality rather than vendor narratives.

For a structured approach to the assessment, see our industrial AI due diligence checklist. For broader advisory on AI strategy and vendor selection, see industrial AI consulting.

03 Scope and deliverables

What a due diligence engagement produces.

DeliverableWhat it coversTypical use
Technology assessment reportArchitecture, model strategy, data pipeline, integration with MES/SCADA/ERP, scalability and technical debt of the target's AI capability.Investment committee input and valuation discussion.
Production reality checkWhat the AI system actually does in production versus what is claimed — deployed use cases, measured outcomes, integration depth and operational maturity.Validation of the business case and revenue projections.
Capability and talent assessmentTeam structure, key-person dependencies, talent depth and the organisational ability to sustain and scale the AI capability.Post-acquisition retention and hiring plan.
Risk registerTechnology, data, regulatory, vendor lock-in and operational risks with severity and likelihood ratings.Risk allocation in the transaction structure.
Post-acquisition roadmapRecommended investments, integrations and organisational changes needed to industrialise the AI capability.100-day plan and value-creation strategy.
04 Collaboration modalities

How a due diligence engagement works.

Due diligence engagements are time-bound, confidential and structured around the transaction calendar. The assessor is independent — no vendor ties, no downstream implementation interest.

  • Buy-side due diligence — the assessor works for the acquirer or investor, assessing the target's AI capability, technology and operational readiness.
  • Sell-side vendor due diligence — the assessor prepares a technology assessment that the seller can share with potential buyers to accelerate the process.
  • Platform selection assessment — independent comparison of AI platforms or vendors for a portfolio company or a standardisation decision.
  • Rapid technology screen — a focused two-week assessment to validate or invalidate the core AI claims before committing to a full due diligence process.
  • Confidential by default — all work is conducted under NDA, with no public attribution and no vendor relationships that could compromise independence.

After the transaction, investors often engage board advisors to govern the AI strategy of the acquired company, or project leadership to execute the post-acquisition AI roadmap.

05 Who the assessor talks to

Typical interlocutor profiles.

The due diligence assessor engages with both the deal team and the target's technology and operations leadership. The primary interlocutors are:

  • Deal team and investment committee — the PE sponsor, corporate development or M&A team that needs the technical judgment to make the investment decision.
  • Target's CTO, CIO or head of AI — the technology leader responsible for the AI architecture, models and deployment.
  • Target's head of operations or plant manager — the operational leader who can speak to what the AI actually does in production.
  • Target's data science team — the practitioners who built and maintain the models, data pipelines and integrations.
  • Portfolio company executives — in platform selection or standardisation engagements, the operating leaders of the portfolio companies that will adopt the technology.
06 Related services and resources

Where to go next.

07 Frequently asked questions

About industrial AI due diligence.

Engineer reviewing production data beside an automated manufacturing line.
How is due diligence different from consulting or project leadership?

Due diligence is an assessment for an investment, acquisition, partnership or technology selection decision. It is independent, time-bound and produces a go/no-go recommendation. Consulting and project leadership are operational engagements that execute over time.

Are the assessors independent of technology vendors?

Yes. For due diligence and vendor selection we put forward only profiles with no commercial ties to the candidates being assessed, and we state that in writing.

What types of transactions do you support?

Buy-side and sell-side due diligence for PE sponsors, sovereign wealth funds, corporate M&A, joint ventures and technology selection. We assess AI targets, platforms, deployment capabilities and the AI readiness of industrial companies being acquired.

What is the first step?

The form on this page. Within 48 business hours you receive a proposal with due diligence experts who fit the target and transaction type. You decide whether to proceed; the proposal itself carries no cost or commitment.

How long does a due diligence engagement take?

It depends on scope. A focused technology assessment can be delivered in two to three weeks; a full operational due diligence covering multiple plants and technology stacks may take four to six weeks. The timeline is set by the transaction calendar.

08 Request experts

Tell us where you stand.

The target, the transaction type and the timeline. That is enough for us to prepare the proposal.

I would rather send a detailed brief

Tell us what you need. Within 48 h we propose the experts who fit.

Two or three profiles from our network, with availability and indicative terms. No cost, no commitment.

I'm looking for

Thank you. We will match your brief against the network and propose two or three experts within 48 business hours. All conversations are confidential.

Profiles are shared confidentially with you. If nobody in the network fits, we will say so just as quickly. More detail to share? Complete the full brief →