Private Equity & Private CapitalDeal teams and portfolio monitoring: the fastest payback for agentic AI anywhere in financial services.
Investment decisions run on scattered market, portfolio and diligence data that nobody owns end to end. We build the governed data foundation, then put agents and semantic search on top of it, so analysts screen faster, portfolio monitoring runs continuously instead of quarterly, and the investment committee sees the same numbers as the deal team. We have done this inside firms managing multi-billion portfolios, including the data governance the LPs and the regulator will ask about.
Banking & Asset ManagementRegulated institutions that need AI the risk committee will actually sign off.
Data fragmented across front, middle and back office, and an AI agenda that stalls the moment governance is asked for. We map the real requirement across the business, define the target architecture and the data management framework behind it, and align both to what the FCA, PRA and EBA expect, then build use cases that survive contact with the second line. Experience covers enterprise data architecture in a European bank, a multi-hundred-million core banking transition, and target-state platform design for asset managers.
Media, Advertising & Creative IndustriesAgencies and marketplaces where AI has to land with the people doing the work, not just in the pitch.
Agency groups adopted AI faster than almost any sector, and hit the adoption wall first: tools bought, licences unused, no measurable change in how work gets made. We redesign the workflow around the tooling and build the capability alongside it, with AI embedded in day-to-day processes, learning that is delivered through AI rather than about it, and usage tracked from week one. Experience spans a global in-house agency group across 30+ countries and a listed digital marketplace business.
Retail, Fashion & E-commerceConsumer businesses with more customer data than they can act on, and teams changing faster than their systems.
Growth outruns the operating model: data spread across CRM, ERP, web and store systems, and people processes built for a smaller company. We consolidate the customer picture, automate the reporting that eats the week, and rebuild the ways of working around it, including the workforce side, which is usually what actually decides whether it sticks. Experience runs from a 3,200-person global fashion retailer to high-growth online-only, plus advanced analytics and real-time customer platforms.
Travel, Transport & LeisureOperationally complex businesses where a data or people decision has to hold across dozens of markets.
High-volume operations, unionised and multi-market workforces, and customer data that only pays off if it reaches the front line in time. We work on both halves: the data platform and the models that produce the signal, and the workforce change that determines whether anyone acts on it. Experience includes a global airline through a major merger, and consumer analytics in travel and entertainment.
Healthcare & Life SciencesRegulated organisations that need AI their compliance function will approve, and staff confident enough to use it.
The blocker in healthcare and life sciences is rarely the model. It is provenance, governance and trust. We bring AI governance built for financial regulation, where the standard of evidence is already high: data lineage and quality you can show an auditor, transparency and bias controls designed in rather than retrofitted, and role-based training so clinical and operational staff adopt the tools instead of working around them.
Working somewhere else? The method travels. If your organisation is data-rich and adoption is the sticking point, talk to us.