Overview
AI governance is no longer a nice-to-have. Regulators across financial services, healthcare, and the EU are raising the bar on explainability, fairness, and accountability. Our AI Governance & Responsible AI service helps you design and implement governance frameworks that are practical, not theoretical. We embed controls into your AI development lifecycle, define clear accountability structures, and ensure your AI systems can withstand regulatory scrutiny. We work in regulated industries daily — we know what auditors actually look for.
How It Works with a21
Governance Audit
Assess your current AI governance posture against regulatory requirements and industry standards. Identify gaps in documentation, oversight, and controls.
Framework Design
Design a fit-for-purpose governance framework covering model risk, data governance, bias monitoring, explainability, and incident response.
Embed & Operationalise
Integrate governance controls into your AI development and deployment workflows. Train teams, implement tooling, and establish ongoing review processes.
What We Offer
AI Risk Classification
Classify AI use cases by risk level — from low-risk automation to high-risk decisioning — and apply proportionate controls to each.
Model Documentation & Explainability
Build model cards, decision audit trails, and explainability reports that satisfy internal and regulatory review requirements.
Bias Detection & Fairness Monitoring
Implement bias testing frameworks and ongoing monitoring to detect and address unfair outcomes in AI-driven decisions.
Data Governance for AI
Define data lineage, consent, and access controls for AI training data — ensuring your models are built on a compliant foundation.
Incident Response Playbooks
Design processes for detecting, responding to, and reporting AI failures — including regulator notification procedures.
EU AI Act & Regulatory Alignment
Map your AI systems against EU AI Act requirements, GDPR obligations, and sector-specific regulations such as SR 11-7 and EBA guidelines.
Why Choose a21
Regulated Industry Specialists
We work exclusively in industries where AI governance is mission-critical — financial services, pharma, and healthcare. We know the regulations.
Practical, Not Academic
Our governance frameworks are designed to be implemented by real teams, not filed away. Every control has an owner and a process.
Embedded, Not Bolted On
We integrate governance into your development lifecycle — not as a checkpoint at the end, but as a continuous discipline throughout.
Audit-Ready Output
Everything we produce is designed to withstand scrutiny. Our documentation standards are built around what regulators and auditors actually ask for.
Success Stories
Problem
A leading investment bank needed to bring all AI models used in trading and credit decisioning into compliance with SR 11-7 before an upcoming regulatory review.
Solution
Audited 23 production models, created standardised model cards, implemented bias monitoring pipelines, and redesigned the model approval process.
Problem
A pharma company deploying AI in clinical trial patient selection needed a defensible ethics and governance framework before proceeding to production.
Solution
Designed a tiered AI risk classification system, embedded bias testing into the model development pipeline, and built a clinical AI oversight committee structure.
Tech Stack & Tools
Fiddler AI
Evidently AI
MLflow Model Registry
Audit Trail Logging
EU AI Act Compliance Toolkits
Model Card Frameworks
SHAP / LIME
Get Started
Make your AI defensible, auditable, and trusted. Talk to a21 about AI governance.
