Financial services & insurance

We design and deliver end-to-end journeys across web, mobile and assisted channels, from onboarding and servicing through to lending, cards and claims. Research, service design and accessibility are grounded in delivery reality, so improvements are buildable, measurable and consistent across teams.

We modernise legacy estates without betting everything on a rewrite. We sequence change, reduce dependency drag, and prove the path end to end in thin slices. The result is safer releases, clearer boundaries, and platforms that are easier to evolve under governance. We also use generative AI to accelerate legacy discovery, improving black-box explainability and migration planning.

We build cloud and platform foundations for regulated delivery, security, audit, resilience and repeatability. Infrastructure as code, policy as code, CI/CD and observability create guardrails that lift release confidence without compromising reliability or compliance.

We turn fragmented data into trusted platforms for defensible reporting and faster decisioning. Clear lineage, access controls, data sovereignty and well-defined data boundaries make it easier to share insight safely and scale analytics with confidence.

We build and operationalise decisioning systems where outcomes matter, including risk and compliance workflows. The focus stays on controllable automation, auditability and operational fit, so the work performs day to day and stands up to scrutiny.

We help highly-regulated organisations move beyond pilots by choosing the right use cases and putting the right controls around them. We align product, risk, legal and operations early, so there’s a repeatable path to production. In parallel, we modernise what’s needed for clearer interfaces, consistent data contracts and real observability.

In enterprise environments, bespoke agents get expensive fast. We help teams build agentic workflows as reusable patterns, with shared controls, predictable cost, and centralised observability. The result is narrow, auditable behaviour in a platform that’s easier to govern and quicker to extend to new use cases.

We use AI across the delivery lifecycle to lift productivity, from discovery and documentation to engineering, testing and release. Humans stay accountable for reviews and high-risk decisions, and generated outputs are treated as code that must be understood, tested and owned.