Financial Services

Resilient, regulator-ready cloud and AI

Modernise securely, meet operational resilience expectations and adopt AI with strong governance.

  • Operational resilience you can evidence
  • Governed, explainable AI adoption
  • Strong security and data protection
Financial Services illustration
The challenge

What financial services organisations face

Financial services firms face strict regulation, high customer expectations and constant cyber threats. They need to modernise legacy platforms and use AI responsibly, while proving resilience and control to regulators.

Example engagement

How a typical project comes together

An illustrative example of how we would approach a common financial services scenario.

The situationA wealth management firm wanting to adopt Copilot and AI, but concerned about data leakage and evidencing control.
Our approach
1Risk and data review
2Governance framework
3Protect sensitive data
4Pilot AI safely
5Monitor and report
The outcomeAI adopted with clear policies, data protected with labels and controls, and evidence ready for compliance and audit.

Illustrative scenario, not a specific client case study.

By the numbers

Why it matters in Financial Services

75%

Of UK financial services firms are already using AI.

Source: Bank of England & FCA AI survey, 2024
46%

Of firms using or planning AI report only a partial understanding of it.

Source: Bank of England & FCA AI survey, 2024
$5.56M

Average cost of a data breach in financial services.

Source: IBM Cost of a Data Breach Report, 2025

Industry figures from the sources shown. Your own results will vary.

Standards

Frameworks we help you meet

  • FCA operational resilience
  • DORA (EU)
  • UK GDPR
  • ISO 27001

Ready to talk about your cloud and AI plans?

Book a one-to-one session with an ITCP expert, or send us a message.