Data, AI & Analytics
Strategy, engineering, analytics, AI readiness, governance and applied use cases — from data platform foundations through to production ML and generative AI adoption.
Specialist Domains
We don't try to cover every domain in technology. We go deep in the ones where a wrong specialist costs the most.
Strategy, engineering, analytics, AI readiness, governance and applied use cases — from data platform foundations through to production ML and generative AI adoption.
Risk data, regulatory reporting, Basel, IFRS 9, ICAAP, controls and finance transformation — specialists who have sat inside a regulated function, not just consulted to one.
Core banking, lending, deposits, channels, migration and modernisation — including core platform replacement and parallel-run governance.
Cards, payments, wallets, fraud, digital channels and customer journeys — across scheme, processor and merchant-side requirements.
APIs, open banking, middleware, integration, cloud and platform architecture — the connective layer between core systems and customer-facing channels.
Programme leadership, PMO, recovery, governance and executive delivery — brought in to run a programme or to rescue one that has drifted.
Each of these domains shows up repeatedly in GCC banking and enterprise transformation work, and each one has a real cost of getting the specialist wrong — a mis-scoped risk engagement, a payments integration that misses a scheme rule, a programme that stalls because the wrong person is running governance.
Rather than maintaining a broad, shallow bench across every possible technology area, we curate depth in these six, and we're upfront when a requirement falls outside them — at which point we'll say so rather than stretch a fit that doesn't exist.
Have a requirement in one of these areas?