AI & Data Guides for Financial Services
Practical guides on AI implementation, data strategy, governance, and compliance for banks, insurers, and fintech. Written by practitioners who build these systems.
EU Artificial Intelligence Act for Financial Services: Duties, Dates, and a Practical Playbook
What banks and insurers must do under the EU AI Act—roles, evidence, timelines, and a two-week readiness plan you can start today.
Model Risk Management for Machine Learning and Large Language Models in Financial Services
How banks and insurers can extend model risk management to machine learning and large language models—governance that supervisors recognise, without slowing delivery.
Designing a Compliant LLM Stack for Regulated Environments (Banking & Insurance)
A practical reference architecture for retrieval, redaction, oversight and audit logging—mapped to recognised frameworks so you can ship useful features without creating compliance drag.
DORA and NIS2 for Financial Services: What Your AI & Data Platform Must Do Now
DORA applies from 17 January 2025 and NIS2 is rolling out across the EU. Here's how banks and insurers should adapt their AI/data platforms—incident response, testing, and third-party oversight—without freezing delivery.
Need Help Implementing These Practices?
We help financial services companies build compliant AI systems from the ground up.