Book a callBook a callGovernance, testing and engineering guardrails for fintechs and financial institutions putting AI to work, from the first model inventory to ongoing board reporting.
Each one has a fixed scope, named deliverables and evidence you can hand to an auditor, examiner or bank partner.
Inventory every model and AI use, rate the risk, and build the roadmap to OSFI E-23 or the Financial Services AI Risk Management Framework.
Threat modelling and adversarial testing of AI agents in support, disputes, KYC review and operations, before they touch money or customer data.
Guardrails for engineering teams building with AI coding agents, with change evidence your SOC 2 and PCI DSS auditors will accept.
Ongoing ownership of AI governance: the AI committee, a living inventory, use-case reviews and board reporting.
OSFI Guideline E-23 takes effect, bringing AI and vendor-supplied models into model risk management for banks, insurers, and trust and loan companies.
US banking regulators replaced their model risk guidance with principles that exclude generative and agentic AI, leaving each bank to govern it on its own.
Control objectives in the Financial Services AI Risk Management Framework, the industry's reference for governing AI in banking.
Start wherever the pressure is. Most clients begin with governance or a pre-launch assessment, then move to ongoing oversight.
Know every model you run and what each one is allowed to do.
Prove your agents hold up under attack before customers use them.
Let engineers use AI coding agents with controls auditors accept.
Keep it governed as models, vendors and use cases change.