Case Studies

A major European investment bank deployed AI-driven trading systems requiring complex compliance with MiFID II, regulatory technology rules, and internal risk policies. They needed to demonstrate AI governance to regulators and protect their licence.

Challenge: Trading systems operating on proprietary algorithms needed to prove compliance with market conduct rules, fair pricing rules, and risk thresholds. Existing governance frameworks didn't address AI-specific requirements.

Solution: Terranova OCG developed a comprehensive AI governance framework aligned with EU AI Act classifications (high-risk), built risk registers for algorithmic trading, and created audit trails for every AI-driven decision. We implemented ISO 42001 principles and SOC 2 controls for market conduct assurance.

Outcome: Client received clean regulatory audit. AI systems now have full governance documentation and risk monitoring. Bank used OCG work to support their AI governance story with regulators.

A global healthcare organization deployed AI systems for diagnostic support and treatment planning. Patient safety, privacy, and clinical validation required rigorous governance aligned with medical device regulations and professional standards.

Challenge: AI systems in clinical settings must meet medical device compliance standards while protecting patient privacy. Clinical teams needed confidence in AI reliability and fairness across diverse patient populations.

Solution: Built comprehensive clinical AI governance framework covering model validation, bias testing, patient privacy controls, and incident management. Implemented GDPR compliance for patient data, created risk registers for clinical deployment, and established ethics review processes with clinical boards.

Outcome: Clinical systems approved for deployment with confidence from medical teams. Patient privacy fully protected. Organization has demonstrated commitment to responsible AI in healthcare, strengthening patient trust and regulatory standing.

A defence technology contractor required CMMC Level 3 certification while deploying AI for intelligence analysis. The combination of defence-grade security requirements, AI governance, and contractor oversight created unique compliance challenges.

Challenge: Meeting CMMC maturity requirements while establishing AI governance for classified systems. Systems needed both cybersecurity controls and AI-specific risk management aligned with defense standards.

Solution: Integrated CMMC requirements with AI Risk Management Framework. Built 14-practice CMMC implementation plan, designed AI governance controls for classified systems, and established oversight processes for AI decision-making in intelligence operations.

Outcome: Achieved CMMC Level 3 certification (pending C3PAO assessment). AI systems now meet both defence security and governance standards. Contractor achieved security-first competitive advantage with Department of Defense clients.

A government agency deployed AI for citizen services (benefits determination, permit processing) requiring transparent, fair, and accountable systems. Public scrutiny and democratic accountability made governance critical.

Challenge: Government AI must be explainable, fair, and accountable to the public. Systems make consequential decisions affecting citizens, requiring clear governance, audit trails, and fairness validation.

Solution: Built public-sector-specific AI governance framework emphasizing transparency and accountability. Created ethics review processes with public interest representatives, implemented fairness monitoring across demographic groups, and established citizen appeal procedures for AI decisions.

Outcome: Public agency can confidently deploy AI knowing governance meets public interest requirements. Strong ethics framework provides accountability story to citizens and government oversight bodies. Demonstrates responsible AI deployment in government.