Applied AI · Financial services
AI Strategy & Advisory for Financial services
Cut through the AI noise. Find the few use cases worth doing, ship them safely, and govern them properly.
Why it matters in financial services
Money, sensitive data, and a regulator that expects evidence, alongside relentless pressure to ship product and scale. You need technology leadership that keeps delivery moving and a security posture that stands up to scrutiny, from one accountable person.
- →Setting technology strategy and an architecture that scales, without stalling delivery
- →Standing up a credible security and risk function the FCA and PRA will recognise
- →Operational resilience: important business services, impact tolerances, and the evidence to prove them
- →Building and hiring an engineering team that ships within change-management and audit expectations
What you get
- ✓AI opportunity assessment, use cases ranked by value, risk, and feasibility
- ✓Pragmatic build vs buy vs fine-tune decisions, with cost modelling
- ✓Reference architecture for LLM/agent systems: evals, guardrails, and data handling
- ✓AI governance aligned to the EU AI Act and your sector's rules
- ✓Proof-of-concept to production, with the bar set at 'actually useful'
Frameworks & standards
FCAPRAOperational resilience (PS21/3)NIST CSFISO 27001
How we work in financial services
We act as the accountable CTO and CISO, shaping the architecture and roadmap in the morning and speaking to a regulator in the afternoon, building product velocity and the controls, evidence and resilience story together.