Client Profile
The client is a Fortune 100 multinational financial services company with over 70,000 employees across 40+ countries. As part of their digital transformation initiative, the client sought to integrate artificial intelligence into customer service, fraud detection, and operational efficiency workflows. However, concerns around governance, privacy, bias, and regulatory compliance created barriers to responsible AI adoption.
Challenges Faced
Key security concerns included:
- Absence of an enterprise-wide AI governance framework
- Unclear understanding of model risk and bias implications
- Data silos and lack of standardized data quality controls
- Gaps in regulatory alignment with GDPR, OCC, and emerging AI regulations
Solution
COE Security implemented a tailored AI Readiness Assessment Program, combining:
- AI Governance Maturity Scan: Baseline evaluation of current controls, policies, and stakeholder alignment
- Data & Model Risk Assessment: Reviewed data quality, lineage, labeling, and model lifecycle practices
- Regulatory Compliance Mapping: Mapped organizational AI use cases to global AI regulations and internal risk standards
- Workforce Enablement Plan: Conducted targeted awareness sessions for executives, developers, and risk officers
Building the Foundation for AI Enablement
- Identified 26 enterprise AI use cases and classified them by risk level
- Conducted model inventory review with key risk indicators and control gaps
- Developed 15-page readiness gap analysis and roadmap to maturity
- Introduced ethical AI risk scorecard aligned with ISO/IEC 23894 standards
- Prioritized 12 quick wins for secure, compliant, and responsible AI deployment
Governance, Strategy, and Readiness Enhancement
- Designed a tiered AI governance structure across business, tech, and compliance units
- Established data governance protocols for structured, unstructured, and synthetic datasets
- Defined cross-functional accountability matrix for AI risk ownership
- Aligned governance with upcoming EU AI Act and U.S. Algorithmic Accountability frameworks
COE AI Readiness Assessment Service Portfolio
- AI Governance Maturity Assessments
- Model Risk & Bias Diagnostics
- Regulatory Compliance Gap Mapping
- AI/ML Inventory Development
- Policy & Control Frameworks
- Ethics and Risk Training Workshops
- AI Use Case Classification Toolkit
- Trustworthy AI Playbooks
- Governance Operating Model Design
- Readiness Reporting & Strategic Roadmaps
Implementation Details
- Deployed AI readiness questionnaires to 9 departments and 3 global regions
- Integrated findings into GRC platforms and internal audit dashboards
- Delivered 6 executive workshops and 4 technical training sessions
- Produced a 70-page AI risk register and policy alignment report
- Created board-level dashboard on AI maturity, readiness, and compliance
Results Achieved
- Identified and mitigated 22 high-risk gaps in AI processes
- Improved regulatory readiness by 65% across critical AI initiatives
- Established foundational controls for AI/ML lifecycle management
- Boosted AI maturity score from Level 1 (Initial) to Level 3 (Defined)
Client Testimonial
“COE Security helped us move from uncertainty to confidence. Their AI readiness program provided structure, visibility, and a clear path to secure, ethical AI adoption.”