Financial services firms need to modernise and automate while staying auditable at every step. We build data platforms, enterprise applications and automation that fit regulated operations — deterministic where it has to be, intelligent where it helps.
Onboarding, reconciliation and servicing still depend on people moving data between systems and chasing exceptions by email.
Every automated step has to be explainable, permissioned and traceable, which rules out a lot of off-the-shelf AI tooling.
Customer and transaction data is spread across core systems and point solutions, so reporting and analytics take longer than they should.
Older applications hold critical business logic, and every change carries risk and long lead times.
Illustrative scenarios showing how our capabilities apply — talk to us about yours.
The problem. Operations teams re-key data and chase approvals across systems, and leadership is wary of automation they cannot audit.
Our approach. Describe the workflow in plain language, compile it to deterministic code with least-privilege access, and keep an approval step and full run history for every action.
The problem. Analysts spend more time assembling data than analysing it, and figures differ between teams.
Our approach. Build governed pipelines from source systems into a single cloud data platform, with documented definitions, lineage and access controls.
The problem. A business-critical application is expensive to maintain and slows down every new product or regulatory change.
Our approach. Map the existing logic, agree a phased migration, and move capability to a modern architecture behind stable interfaces, with regression testing at each step.
The problem. Staff search policies, product documents and past cases to answer customer and internal questions.
Our approach. Build an assistant grounded in approved sources, with citations, access controls and clear limits on what it can and cannot do, under an agreed governance model.
Data platforms, pipelines, integration and analytics that turn scattered data into decisions.
Business process automation and intelligent workflows that stay predictable, auditable and cost-controlled.
Assess legacy applications, modernise their architecture and migrate them in stages — without a big-bang rewrite.
Connect AI to the enterprise applications and data your business already runs on.
For regulated workflows we prefer deterministic automation: the logic is compiled to code you can review, runs with least-privilege access, and every run is logged. Language models help author the workflow, not execute it.
Yes. We work within your security, access and change-management processes, and agree them before any engineering starts.
Tell us the problem you're working on. We'll come back within one business day with how we'd approach it.