Managed AI Services for Financial Services
In financial services, an AI system that is not actively governed is a liability. Models drift, and regulators under SEC, FINRA, and OSFI in Canada expect you to prove ongoing control, not point-in-time approval. SR 11-7 style model risk governance requires continuous monitoring, validation, and documented oversight for the life of the model. Managed AI Services provides exactly that: we operate your KYC, AML, and decisioning systems against SLAs, with the auditability your SOC 2 program and examiners demand. Every inference is logged, every quality shift is caught and explained, and every change runs through controlled, evidenced release, so your AI stays compliant as it stays in production.
Managed AI Services, built for financial services
We operate your AI inside your own environment under SOC 2 aligned controls, with full inference logging and immutable audit trails for examiners and internal audit.
We run continuous model monitoring mapped to your model risk governance framework: performance, stability, bias, and drift, with documented thresholds and escalation.
We own incident detection and response under SLA, with post-incident review and evidence packaged for FINRA, SEC, or OSFI inquiries.
We manage validation and change control so model updates are tested, approved, and documented before they reach KYC, AML, or decisioning in production.
Where it pays off in financial services
AML and KYC monitoring
We watch transaction-monitoring and KYC models for alert-quality drift and tune thresholds, keeping false negatives down without flooding analysts.
Model risk governance
We supply the continuous validation, performance tracking, and documentation that SR 11-7 style governance and your examiners expect across the model lifecycle.
Audit-ready operation
Every model decision is logged and reproducible, so SOC 2 evidence and regulatory requests are answered from records, not reconstructions.
Credit and fraud decisioning
We keep decisioning and fraud models calibrated as patterns shift, with bias and stability checks running on every release.
Financial-services clients pass model risk reviews and SOC 2 audits with evidence already in hand, while AML and fraud models hold accuracy quarter over quarter instead of drifting into examiner findings.
Financial Services AI, answered
We run ongoing monitoring, validation, and documentation across the model lifecycle, which is the core of effective model risk management. You get versioned performance and stability evidence, documented thresholds and escalation, and a complete change-control record your validation team and examiners can rely on.
It runs in your own cloud under your security controls, never on shared infrastructure. We operate within your SOC 2 boundary, log every inference for audit, and keep KYC and AML data inside your environment, including OSFI residency requirements for Canadian operations.
Yes. Because every decision and model change is logged with full lineage, we can reconstruct any inference and produce the supporting documentation on demand. Most requests are answered from existing records rather than a scramble.
More Financial Services AI
Managed AI Services for other industries
Bring Managed AI Services to your financial services team
Book a free consultation. We'll show you the highest-leverage place to start and exactly how we'd ship it.