AI Risk Assessment – Ensuring Responsible and Secure AI Adoption
Helping enterprises evaluate, monitor, and mitigate risks associated with artificial intelligence to ensure compliance, security, and ethical use
Client Challenges
Our client, a large financial services provider, was eager to adopt AI to improve fraud detection, automate customer service, and enhance decision-making. However, several challenges stood in the way:
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Regulatory Uncertainty: New AI compliance regulations (EU AI Act, U.S. frameworks, and local governance rules) created confusion and risk.
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Data Security Concerns: AI systems processed sensitive financial and customer data, raising concerns about misuse and breaches.
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Bias & Fairness Issues: Machine learning models risked unintentionally discriminating against certain groups, leading to reputational and legal risks.
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Lack of Internal Expertise: The client’s team lacked in-house knowledge of AI governance, explainability, and monitoring practices.
The client needed an AI risk assessment framework to ensure safe, compliant, and ethical AI adoption.
Our Solution
Akati LLC designed a comprehensive AI Risk Assessment Program, tailored to the client’s business and regulatory environment.
We delivered a multi-step solution:
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AI Governance Framework
Established policies for ethical AI use, including guidelines for fairness, transparency, accountability, and human oversight. -
Risk Identification & Classification
Conducted a full audit of AI use cases, classifying them into low, medium, and high risk categories based on business impact and compliance obligations. -
Bias & Fairness Testing
Performed model audits using statistical analysis to detect bias and ensure fairness across demographic groups. -
Security & Privacy Review
Implemented robust data protection measures, including encryption, access control, and anonymization for sensitive data processed by AI models. -
Monitoring & Reporting Tools
Delivered dashboards for continuous monitoring of AI model behavior, drift detection, and compliance reporting. -
Staff Training & Awareness
Conducted workshops to educate employees on responsible AI use and compliance requirements.
Results & Impact
The AI Risk Assessment program achieved the following outcomes:
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100% compliance alignment with emerging AI regulations, reducing legal and financial risks.
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Increased trust from clients and stakeholders by demonstrating responsible AI practices.
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Reduced model bias, ensuring fairer decision-making in financial services (e.g., loan approvals, fraud checks).
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Stronger security posture, with improved protection for sensitive customer data.
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Scalable governance model, enabling safe expansion of AI use cases across other business units.
Our Partners
