Client stories from live engagements and perspectives from the Panamoure partner team — PE diligence, AI build, managed services, enterprise transformation. One engine behind every one of them. Every case carries a measured outcome; every insight is grounded in production experience.
PE-backed portfolio group. Six business units. Nine structured deliverables. ~£400k licence wastage identified.
Read the case study →Facility management client. 900+ housekeeping staff, ~80 UK hotel sites. Real-time mobile workforce platform.
Read the case study →Blue-chip communications consultancy. End-to-end discovery, build, and adoption.
Read the case study →FTSE 250 business. Resourcing cost cut by more than half. Performance gains stacked on top.
Read the case study →PE-backed distribution group. Staffing cost down 50%. Description creation 80% faster.
Read the case study →Onboarding workflow rebuilt around AI. Time-to-productivity halved. Adoption tracked end-to-end.
Read the case study →Global rollout. Adoption tracked country by country. Change interventions tuned to local working patterns.
Read the case study →£100m+ insurance broker. Operational data unified. Decisions sharpened. £3.2m annual saving.
Read the case study →Full re-platform on cloud-native foundations. AI Factory operating model from day one.
Read the case study →AI-led roadmap that gave the board a credible path to capture the value at stake.
Read the case study →£750m construction company. Live in <1 month. 99%+ first-time accuracy. £25k recovered in 8 weeks.
Read the case study →How AI is rewriting the economics of PE-backed delivery. From diligence through exit, the AI Factory in practice.
Read the insight →A three-phase journey for PE-backed businesses preparing for exit. Diagnostic, remediation, and storyline build.
Read the insight →Recognition of Panamoure's AI-led approach to PE technology diligence and value creation.
Read more →Agentic AI inside the commercial operating model of mid-cap and large-cap biopharma businesses.
Read the insight →Where intelligent automation lands inside the discovery-to-launch pipeline, and where it does not.
Read the insight →Cross-cutting view of automation opportunities across R&D, manufacturing, and commercial.
Read the insight →How charities and NGOs are using agentic AI to extend mission impact without inflating the cost base.
Read the insight →Why we describe the AI Factory as an operating model rather than a methodology, and why it matters for investors.
Read the insight →Every case and insight here runs on the same operating model — proprietary AI tooling, senior human consultants, and a compounding knowledge base, run as one engine across Advise, Transform and Extend.
We would be glad to walk you through how the AI Factory would run on your next deal, transformation, or managed service.