A PE investor had acquired a platform business with six operating divisions across Rail, Energy, Renewables, Highways, Technical Services, and Commercial. No central application register. Four further acquisitions in exclusivity. We gave the investor a complete, evidence-based view of the technology estate, structured around their five Identification Goals, in weeks. Not months.
The PE investor had completed a platform acquisition forming a six-division group and had four further acquisitions sitting in exclusivity. The clock was running. The investor needed to know what they had bought, where the technology risks sat, and which value levers were available to compound across the further acquisitions.
The engagement ran on the AI Factory operating model, structured around our COBIT 5 and multiple Panamoure framework-aligned IT due diligence methodology. Ingestion agents took every artefact the data rooms could surface and built a structured baseline against the methodology. Analysis agents ran the gap mapping and surfaced the value opportunities.
That output let the senior team focus on the 25+ stakeholder interviews where the real judgement calls live. Synthesis was authored by partners against the five investor Identification Goals (G1 to G5), with the analysis output continuously cross-checked behind the work.
Nine structured deliverables (D01 to D09) covering the full technology estate, mapped against the five Identification Goals, with quantified value opportunities and a prioritised integration plan for the further acquisitions in exclusivity.
Investor-grade diligence and value plan, on the PE timeline the deal actually runs to.
Two related client stories.
Facility management client. 900+ housekeeping staff across ~80 UK hotel sites. Real-time mobile workforce platform.
Read the case study →Full re-platform on cloud-native foundations. AI Factory operating model from day one.
Read the case study →We can produce an AI-orchestrated diligence sample on a real (or anonymised) target inside the same week.