A Privacy and Algorithmic Impact Assessment (PAIA) combines data protection checks with a broader evaluation of fairness, bias, transparency, and human oversight, helping you identify risks early, meet legal and ethical expectations, and lay the groundwork for certifications like ISO 27001 or ISO 42001.

This is a fast, practical assessment that reviews your AI system for key governance risks like fairness, transparency, and oversight, providing a clear risk matrix to support internal accountability, board reporting, or alignment with frameworks like the EU AI Act or ISO/IEC 42001.

Targeted, plain-English training for your developers, focused on spotting and addressing fairness, bias, and explainability issues early in the AI development process, turning ethical and regulatory expectations into practical, day-to-day design choices.

This service provides clear, plain-language materials like model cards or user-facing explainability summaries to help internal teams, regulators, or the public understand how your AI system works, supporting GDPR transparency duties and building trust in real-world, high-stakes settings.

A retained support package offering expert, on-demand input into AI governance, compliance, and risk, ideal for teams that want flexible, reliable advice without hiring in-house. Perfect for fast-paced development, pilots, or evolving AI use cases, this service adapts as your needs shift, helping you stay ahead of risks and regulatory expectations without losing momentum.

Implement the world's first AI Management System Standard, led by our Accredited Lead Implementor

Software (launching soon!) to help you document risks, justify decisions, and answer compliance questions with confidence.