Portfolio-company AI improvement and delivery
We work with investment teams and portfolio-company leaders to turn an AI opportunity into a scoped piece of operational delivery. We assess the workflow, build the systems, and help staff put the change to work.
We work with teams across the UK, Europe, and Australia.
When to bring us in
- A value-creation plan includes AI but the company needs a delivery owner.
- Several portfolio companies have similar problems but different systems and constraints.
- You need a measured first deployment before committing to a wider programme.
Who does the work
A partner coordinates with the investment team and a named company sponsor. Engineering and change support work with local operators; the company owns its approvals and production systems.
Meet our partnersWhat the engagement delivers
01
An opportunity assessment
We connect the investment thesis with operating workflows, current performance, data access, and the people accountable for results.
02
A company-owned delivery plan
We agree the first use case with company leadership, including scope, budget, acceptance measures, and staff involvement.
03
Implementation and adoption
We build and test the workflow, train users, assign support, and review actual use and performance.
04
A basis for the next decision
We report what changed against the baseline, what remains uncertain, and which components another company could reuse.
Timing and budget
Begin with one company's assessment and a bounded first workflow. Wider deployment follows a review of the evidence, local access, and each company's capacity to adopt the change.
Daily rates start at €1,000 EUR per consultant for a full day.
Daily rates start at £850 GBP per consultant for a full day.
Daily rates start at A$1,600 AUD per consultant for a full day.
Rates depend on the engagement and current exchange rates. Necessary project expenses add up to 10% of the daily rate.
What to bring to the first call
Bring the value-creation priorities, the company sponsor, known systems, and the timetable. Keep company information separate and agree permissions before sharing materials.
We don't assume a result transfers across the portfolio. Each company needs its own baseline, access agreement, business owner, and acceptance decision.
Read how we approach the work
These guides explain the method and the evidence to look for.
The First 100 Days of AI Work After an Acquisition
A practical first-100-days plan for PE-backed companies: map value levers, secure data access, name owners, test workflows, and make clear board decisions.
Turn a Private Equity Investment Thesis Into an AI Opportunity Map
Map AI use cases in a PE-backed company to revenue, EBITDA, working capital, service quality, and risk, with owners, baselines, and a worked example.
How to Assess an Acquired Company's AI Readiness in Two Weeks
A ten-working-day AI readiness assessment for newly acquired companies: map workflows, data owners, system access, staff capacity, and the first safe pilot.
Discuss the work with a partner.
The introductory call is free. We'll discuss the problem, the decision you need to make, and whether an engagement fits.