For banks and insurers, several common AI use cases — creditworthiness assessment, risk pricing, fraud detection that affects access to services — fall into the EU AI Act's high-risk category. High-risk classification brings concrete obligations around risk management, data governance, transparency, human oversight and post-market monitoring.
The good news: most of these obligations map cleanly onto controls a well-run governance program already wants. Here's a practical checklist.
1. Maintain an AI inventory
You can't govern what you can't see. Catalog every model, agent and application, with owner, purpose, data sources and risk classification. Shadow AI is the single biggest gap most teams discover.
2. Run a documented risk assessment
Each high-risk system needs a risk management process that is continuous, not a one-time sign-off. Score systems against the framework and re-assess on change.
3. Govern your data
Document training and input data provenance, representativeness and bias testing. Keep the evidence linked to the system it supports.
4. Build in human oversight
Define where a human must review or can intervene, and make the override path real — logged and auditable, not theoretical.
5. Add runtime guardrails
Transparency and safety obligations are far easier to meet when a guardrail layer enforces them at runtime. This is where a BFSI-tuned classifier like Lynx earns its place — catching prompt injection and unsafe outputs before they reach a customer.
6. Generate audit-ready evidence automatically
Manual evidence collection doesn't scale and doesn't survive an audit. Automate logging, approvals and reporting so the paper trail is a by-product of operation.
7. Monitor in production
Post-market monitoring means watching for drift, degradation and anomalies continuously, with alerts and a remediation path.
8. Map once, reuse everywhere
The EU AI Act overlaps heavily with NIST AI RMF, ISO 42001, SOC 2 and local rules like RBI, SEBI and DPDP. Map your controls once to a common library and satisfy many frameworks at once.
Compliance shouldn't be a project you run before each audit. It should be the default state of a system that's governed continuously.
Zytra ships pre-built policy packs for the EU AI Act, NIST AI RMF, ISO 42001 and SOC 2, with automated evidence collection — so readiness becomes a setting, not a scramble.