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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.
Difference

Outcomes & Benefits

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.

Know Your Role

Clear breakdown of board level responsibilities for AI risk and compliance

Executive Readiness

what to challenge, approve, and monitor

Actionable Oversight

Leave with tailored governance priorities and next steps for your organisation.

Regulatory Preparedness

Gain awareness of frameworks like the EU AI Act, UK regulation white paper, and NIST AI RMF.

Innovation with Integrity

Learn how to support AI innovation without exposing your firm to reputational or regulatory risk.

Innovation with Integrity

Learn how to support AI innovation without exposing your firm to reputational or regulatory risk.

Outcomes & Benefits

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.

Actionable Bias & Explainability Report:

Receive a detailed audit with visual diagnostics and clear recommendations to reduce risk and boost model transparency.

Audit-Ready Documentation:

Gain compliance-ready, standardised documentation that streamlines preparation for regulatory reviews, including the EU AI Act and procurement processes.

Executive Clarity & Confidence:

Equip leadership with interpretable findings and defensible evidence to make informed, risk-aware decisions about high-impact AI models.

Clear Explainability

Explain "black box" AI decisions, providing the rationale needed for accountability and effective human oversight.

Targeted Remediation Roadmap:

Walk away with prioritised next steps and tactical guidance to address fairness gaps and bolster explainability.

Who is it for?

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

Common Pain Points

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.

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“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.”

Common Pain Points

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.”

Common Pain Points

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.”

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Common Pain Points

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 are unsure who owns AI governance
in our organisation.”
"We're concerned about regulatory penalties and reputational damage from unmitigated AI risks."
"Our teams lack a consistent approach to identifying and addressing AI bias and explainability."
"We need robust documentation to demonstrate our AI systems are compliant and trustworthy."

How It Works (Engagement Model)

We deep dive into your AI models to find bias, apply explainability techniques, and deliver a strategic roadmap with actionable recommendations for regulatory compliance.

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Discovery & Scope Definition

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.

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Data & Model Deep Dive

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.

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Bias & Explainability Assessment

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.

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04
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Remediation & Recommendation

Based on our findings, we provide concrete, actionable recommendations for bias mitigation and explainability enhancement, tailored to your models and business processes.

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Reporting & Strategic Debrief

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.

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What Will You Receive

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.

Comprehensive Model Audit Report: An evidence based report including an executive summary, audit scope, model interrogation findings, quantitative fairness results, and plain-language risk interpretation.
Detailed Fairness Metrics Analysis: Quantitative assessment of bias using metrics like Disparate Impact (DI) ratio, Demographic Parity, and Confusion Matrix Statistics, often leveraging tools such as IBM AI Fairness 360 which offers over 70 different fairness metrics and bias mitigation algorithms.
Explainability Insights: Visualisations and explanations derived from techniques such as Feature Importance Analysis, SHAP, and LIME, scores and insights into model decisions.
Actionable Remediation Recommendations: Specific strategies and algorithms for mitigating identified biases and enhancing model transparency,

Customer testimonials

Here are the thoughts of our esteemed clients on their experience working with us.

"Aligne was indispensable in the rollout of our new operational risk solution across 20,000 users at our bank. The Aligne team seamlessly integrated AI capabilities into our existing infrastructure, providing the automated controls and predictive insights that transformed how we manage risk. It was a significant upgrade to our tech stack, making us far more resilient and efficient from an IT operations perspective."

man
Head of Operational Risk IT,

Leading UK Retail & Commercial Bank

"Aligne was instrumental in designing our comprehensive risk and AI governance framework. Their expertise allowed us to establish clear policies and robust oversight, crucial for responsibly deploying advanced analytics across our operations. This strategic partnership has not only strengthened our compliance posture but also provided the foundational confidence needed to innovate safely in a complex regulatory landscape."

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Chief Risk Officer

Leading Global Insurer

"Our adoption of Aligne's AXION real-time AI data solution has fundamentally changed how we manage high-volume transactional data for compliance. The immediacy of insights from AXION's intelligent processing allows us to proactively identify anomalies, monitor regulatory adherence, and respond to potential risks far faster than before. It's an indispensable tool for maintaining continuous oversight in our dynamic environment"

woman
Head of Data Analytics & Compliance

Major European Bank

"Aligne was instrumental in our ambitious Big Data initiative for AI, guiding us from initial strategy through to full implementation and comprehensive team training for AI governance. Their leadership ensured we could leverage vast datasets for advanced AI applications while maintaining strict control over data privacy, ethics, and regulatory compliance. This partnership has been crucial for our responsible AI scaling."

man
Chief Data & Analytics Officer

Tier-1 Telecommunications Group

FAQ

What clients ask most often?

How do you ensure the recommendations are practical for financial services?
What specific regulations does this service help us comply with?
How long does a typical model-level review take?
Can this service be integrated with our existing AI governance framework?
What kind of ongoing support is available after the review?

Ready to ensure your AI models are fair, transparent, and compliant?

Book a 30-minute discovery call with our advisory team and explore how Aligne can support your organisation.

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