Responsible AI Risk and Governance Services
AI adoption with controls, oversight, and protections that scale as maturity grows.
AI adoption is accelerating across financial services. More than 71% of firms have now formally adopted AI technologies to improve efficiency, automate processes, and enhance decision-making.
Globally, many AI-related risks are already addressed (at least in part) by existing regulatory regimes spanning regulatory compliance, governance, and conduct, operational resilience, risk management, data protection, third-party oversight, and cybersecurity.
Regulators expect firms to demonstrate that AI is being introduced through established governance and control frameworks before tools are deployed, or models go live, not retrofitted after the fact.
ACA helps financial services firms adopt AI tools responsibly by rapidly translating AI adoption into clear obligations, proportionate controls, accountable ownership, and audit-ready evidence designed to meet supervisory expectations as they evolve.
Whether you’re exploring your first AI use case or already embedding AI across multiple operations, at ACA you will be supported by an integrated team spanning regulatory compliance, governance, operational resilience, data protection, third-party oversight and cybersecurity.
Get more information
Service Modules Across the AI Lifecycle
Select the modules or components you need, aligned to your current AI maturity and deployment priorities.
Prepare
- AI adoption readiness and risk assessment
- Regulator and sandbox engagement and application support
- Regulatory obligation mapping and prioritized control and evidence plan
Adopt
- Governance framework and operating model
- AI policy development, alignment and uplift
- AI training and awareness (role-based)
- Governance artifacts (forums, responsible, accountable, consulted, and informed (RACI), gates, approvals)
Assess
- Vendor due diligence (AI and third-party assurance)
- Technical assurance (e.g., bias testing, implementation assurance)
- Penetration testing
- Security configuration
- Resilience planning and testing
- Tool selection, training and implementation support
Maintain
- AI governance monitoring and oversight support
- Regulatory updates (horizon scanning and impact assessment)
- Operated cadence, register and evidence; intake and assurance coordination
Ready to strengthen your firm’s AI governance and risk controls?
Integrated AI, Cybersecurity, Privacy, and Compliance Capabilities
ACA brings a unique combination of regulatory expertise, cybersecurity capabilities, and real-world AI knowledge that helps financial services firms adopt AI confidently and responsibly.
Deep Financial Services Expertise
We specialize exclusively in the financial sector, meaning our guidance aligns with the realities of investment management, private markets, broker-dealers, and other financial services models
Integrated Compliance, Cyber, and Technology Insight
AI risk isn’t one-dimensional. ACA brings together teams across compliance, cybersecurity, privacy, data management, and technology to deliver holistic support.
Practical, Regulator-Ready Solutions
We help you evidence effective oversight through clear accountabilities, proportionate controls, testing, and documentation aligned to supervisory expectations across jurisdictions.
Tailored Guidance at Any Stage of AI Adoption
Whether you’re exploring your first AI use case to enterprise-scale deployment, we adapt our approach to your maturity, risk profile, and business model.
Hands-on Support Backed by Industry Benchmarks
Our insights are informed by ACA’s annual AI Benchmarking research, giving you real data on how your peers are adopting and governing AI and what we see working across the market.
Sandbox/Regulator Engagement Support
Support sandbox-style programs and innovation engagement, where offered by regulators, including application support for regulator submissions.
Enhance your AI oversight, reduce regulatory risk, and implement AI securely with ACA’s industry-leading expertise.
Discover how our unified approach can support your firm’s AI strategy.
FAQs
What is AI governance and why is it important for financial services firms?
AI governance is the operating model that ensures AI use is approved, controlled, monitored and evidenced, so firms can demonstrate accountability, manage risk and meet evolving supervisory expectations.
How should a firm approach compliance across multiple jurisdictions?
Start with core AI governance principles (e.g. accountability, transparency). Apply them through a global baseline of regulatory themes (governance/compliance, data, operational resilience, third parties, cybersecurity, and model/tool oversight), operationalized via clear controls/processes and then tailor the control set and evidence pack to each jurisdiction’s supervisory expectations.
It is important that where possible your AI approach is consistent enterprise wide whilst still meeting local regulatory requirements and examination standards.
What are the biggest AI risks for investment managers and other regulated financial entities?
Key risks include cybersecurity threats, model bias, data privacy issues, operational failures, and inadequate oversight of third-party AI vendors.
How do I assess whether the AI tools my firm uses are secure and compliant?
Combine governance and technical assurance, use risk case assessment, configuration review, vendor due diligence and penetration testing, then provide an evidence pack aligned to your internal governance framework and regulatory inquiries.
What support do firms need when adopting AI for the first time?
Most firms need support to determine which existing rules, processes, and controls already cover AI-related risks, where policies and procedures must be updated, and what needs to be made more flexible and future-proof, and then to do the work of evaluating vendors and ensuring secure, regulator-ready implementation with clear ownership and evidence.
Contact Us
Learn from our experts
