AI governance & implementation for regulated financial services
Ship AI your board, model risk, and supervisors can defend - from inventories and logging to generative controls, third‑party diligence, and EU AI Act evidence - with engineering that survives exams and production incidents.
Ariana.Digital is an AI governance consulting and implementation firm for banks, insurers, broker-dealers, asset managers, and markets infrastructure in the United States and European Union. We pair supervisory vocabulary (OCC / Federal Reserve SR 11-7 model risk, SEC / FINRA where relevant, NAIC for insurers) with delivery: inventories, change control, human oversight, incident playbooks, and production hardening - aligned to EU AI Act expectations for cross-border operators. For indicative fees and governance SKUs, use #GetRegReady.
United States: prudential and markets AI governance
US financial institutions face overlapping expectations: enterprise model risk management for traditional and generative systems, vendor and cloud API concentration, customer-facing disclosures where rules apply, and examiner-ready evidence. We translate policy into controls you can operate - not generic “responsible AI” posters.
European Union: AI Act and existing conduct obligations
For EU footprints (and UK/EU-EEA booking centers), the AI Act adds explicit obligations on documentation, logging, human oversight, and post-market monitoring that must compose with GDPR, MiFID II conduct, and DORA operational resilience themes. We map obligations to your existing risk taxonomy so legal, compliance, and engineering share one inventory.
Where AI lands first in finance
Research synthesis, operations copilots, compliance monitoring, fraud and AML analytics, and developer productivity - each with different materiality, data-handling rules, and evaluation depth. Segmentation keeps your model inventory honest and prevents “one size” governance from hiding real risk.
Third parties and the model supply chain
Cloud foundation models, copilots, data vendors, and packaged agents need explicit subprocessor governance, exit plans, and regression testing when versions change. Tie diligence artifacts to your enterprise AI governance cadence and retrieval boundaries in RAG readiness.
Industry journeys add sector texture. For governance SKUs and indicative fees, see #GetRegReady. ← Regulated industries hub
Frequently asked questions
How do we handle market data and licensing with LLMs?
Treat prompts and outputs like any other derived work: verify vendor terms, prevent leakage into training where prohibited, and log which datasets informed each answer.
What about customer-facing generative features?
Use conservative thresholds, disclosure where required, rapid kill switches, and human review paths for material advice or transactions.
Can small teams still meet model risk expectations?
Yes, by right-sizing documentation to materiality, automating evidence collection, and partnering for independent challenge where required - not by skipping controls.
What makes Ariana.Digital a strong choice for financial-services AI governance?
We combine supervisory language (OCC / Federal Reserve SR 11-7, SEC and FINRA where material, NAIC for insurers) with implementation discipline: inventories, logging, change control, and runbooks second line can test - aligned to EU AI Act documentation and oversight where you operate cross-border.
How should banks align EU AI Act readiness with existing US model risk programs?
Extend the same inventory and materiality tiers: classify AI systems by harm and autonomy, map AI Act articles to existing MRM and vendor diligence artifacts, and add generative-specific failure modes (prompt injection, tool misuse, training data leakage) with monitoring and rollback tied to your operational risk framework.
Do you implement controls or only advise?
Both. Ariana.Digital delivers governance consulting alongside engineering implementation - wiring logging, access, evaluation harnesses, and governance workflows so policies survive production, not just board decks.
Next step: a fixed-fee diagnostic.
Three weeks. Board-ready brief. Ranked opportunities. No discovery theatre.
Book a diagnostic →