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“AI Governance in 90 Minutes” is a boardroom level briefing built for organisations navigating high stakes AI adoption.
Delivered by Aligne AI experts, this session empowers boards and C-suites to lead responsibly, avoid compliance missteps, and support innovation with confidence.
By the end of the session, the leadership team will walk away with board level clarity, actionable next steps, and a focused understanding of how to manage AI risks and comply with evolving regulations.
Clear breakdown of board level responsibilities for AI risk and compliance
what to challenge, approve, and monitor
Leave with tailored governance priorities and next steps for your organisation.
Gain awareness of frameworks like the EU AI Act, UK regulation white paper, and NIST AI RMF.
Learn how to support AI innovation without exposing your firm to reputational or regulatory risk.
Learn how to support AI innovation without exposing your firm to reputational or regulatory risk.
Detailed Bias & Explainability Report with visual diagnostics and a Targeted Remediation Roadmap. This gives you audit-ready documentation and clear, prioritised next steps to fix fairness gaps and boost model transparency.
Receive a detailed audit with visual diagnostics and clear recommendations to reduce risk and boost model transparency.
Gain compliance-ready, standardised documentation that streamlines preparation for regulatory reviews, including the EU AI Act and procurement processes.
Equip leadership with interpretable findings and defensible evidence to make informed, risk-aware decisions about high-impact AI models.
Explain "black box" AI decisions, providing the rationale needed for accountability and effective human oversight.
Walk away with prioritised next steps and tactical guidance to address fairness gaps and bolster explainability.
This is for the technical, risk, and executive leaders in regulated industries who are responsible for building and governing fair, defensible, and compliant AI.
Highly regulated firms and other enterprises preparing for EU AI Act audits
Executives and Senior Leaders seeking assurance and clarity around AI risks, fairness, and defensibility
Compliance, Risk, and Legal teams responsible for AI governance and regulatory adherence
ML Engineers, Data Scientists, and Technical Leads developing or auditing high impact models
Product Owners and Business Managers accountable for AI driven products in high-risk environments
From unclear ownership to regulatory uncertainty, most enterprises face critical governance gaps as they scale AI. This session helps leadership address those gaps with clarity, structure, and confidence.
“We are unsure who owns AI governance in our organisation.”
“We do not have a model register or risk documentation in place.”
“Regulatory expectations (like the EU AI Act) are unclear to our board.”
“Our AI projects are growing, but oversight has not caught up.”
“We need to innovate, but can not afford a reputational incident.”
From unclear ownership to regulatory uncertainty, most enterprises face critical governance gaps as they scale AI. This session helps leadership address those gaps with clarity, structure, and confidence.
“We are unsure who owns AI governance in our organisation.”
“Regulatory expectations (like the EU AI Act) are unclear to our board.”
“Our AI projects are growing, but oversight has not caught up.”
“We do not have a model register or risk documentation in place.”
From unclear ownership to regulatory uncertainty, most enterprises face critical governance gaps as they scale AI. This session helps leadership address those gaps with clarity, structure, and confidence.
This addresses the core uncertainty of AI bias and "black box" models, the lack of internal process to fix them, and the resulting fear of regulatory and reputational risk.
We deep dive into your AI models to find bias, apply explainability techniques, and deliver a strategic roadmap with actionable recommendations for regulatory compliance.
We begin with a detailed consultation to understand your specific AI use cases, existing models, and regulatory context within banking or insurance. This includes an initial AI risk assessment and ethical profile creation.
Our experts conduct a thorough evaluation of your training data for potential biases and perform in-depth algorithmic fairness analysis. We apply advanced techniques to interrogate your models at a technical level.
We quantify bias using industry-standard metrics (e.g., Disparate Impact, Demographic Parity) and apply Explainable AI (XAI) methods (e.g., SHAP, LIME) to clarify model decisions.
Based on our findings, we provide concrete, actionable recommendations for bias mitigation and explainability enhancement, tailored to your models and business processes.
We deliver a comprehensive report detailing our findings, risk interpretations, and a clear roadmap for implementing recommendations, followed by a strategic debrief with your leadership team.
You receive an audit report with quantitative proof of bias, explainability insights using SHAP/LIME, and an actionable remediation plan to ensure fairness and compliance.
Here are the thoughts of our esteemed clients on their experience working with us.
Our team combines deep technical AI expertise with extensive experience in the banking and insurance sectors. We understand the unique operational complexities and regulatory nuances of your industry, ensuring our recommendations are not just technically sound but also practically implementable within your specific business context.
Our service helps you align with key global and regional regulations, including the EU AI Act (especially for "High-Risk" applications like credit scoring and insurance pricing), NIST AI Risk Management Framework (AI RMF), OCC guidelines, and state-level regulations such as New York's NYDFS Circular Letter No. 1 for insurance.
The duration varies based on the complexity and number of models. A focused bias assessment in the insurance sector, for example, can take approximately 6-8 weeks. We provide a detailed timeline after our initial scope definition.
Absolutely. Our approach is designed to enhance and integrate with your existing AI governance structures, policies, and procedures. We aim to strengthen your current capabilities rather than replace them, ensuring a seamless and effective partnership.
Beyond the initial review, we can provide ongoing monitoring frameworks and advisory support to help you continuously assess and refine your AI models for sustained fairness, explainability, and compliance, addressing issues like "data drift" that can emerge post-deployment.
Book a 30-minute discovery call with our advisory team and explore how Aligne can support your organisation.