ISO 42001 is the world's first international standard for AI management systems. We help organizations establish, implement, and maintain an AI management system (AIMS) that ensures responsible development, deployment, and use of AI technologies.
AI is transforming how SaaS companies build and deliver products, but with that transformation comes new risks that traditional security frameworks weren't designed to address. Bias in model outputs, lack of explainability, data provenance issues, and unintended consequences of autonomous decision-making are all risks that your customers, regulators, and board are increasingly asking about.
ISO 42001, published in December 2023, provides the first internationally recognized framework for managing these risks systematically. It follows the same management system structure as ISO 27001 (Annex SL), making it a natural extension for organizations already certified to ISO 27001. But the substance is entirely different. It addresses AI-specific concerns like impact assessment, data quality, model transparency, human oversight, and responsible deployment.
Our team has been working with AI governance frameworks since before ISO 42001 was published, including NIST AI RMF, the EU AI Act risk classification approach, and industry-specific AI guidelines. We bring that cross-framework perspective to every engagement, ensuring your AI management system isn't just ISO 42001 compliant but genuinely effective at managing the risks your AI systems introduce.
Whether you're embedding large language models into your product, using ML for fraud detection, or building AI-powered analytics, we help you establish governance that satisfies regulators, reassures customers, and gives your engineering team clear guardrails. AI governance done right doesn't slow innovation. It makes it sustainable.
How we deliver results.
AI Landscape Assessment
We inventory every AI system in your organization: production models, AI features in third-party tools, internal ML experiments. We classify each by risk level, autonomy, and impact on individuals or groups. This gives you visibility into your actual AI footprint.
AIMS Design & Policy Development
We design your AI management system structure: governance roles, risk assessment methodology, lifecycle stages, and monitoring requirements. We develop the policy suite that defines how your organization develops, validates, deploys, monitors, and retires AI systems.
Risk Assessment & Impact Analysis
We conduct AI-specific risk assessments that go beyond traditional infosec concerns. We evaluate bias risk, explainability gaps, data quality issues, automation failures, and potential for unintended consequences. Each risk gets treatment plans appropriate to its severity.
Implementation & Certification
We help your engineering and product teams implement the governance controls in their actual workflows, not as bureaucratic overhead but as practical guardrails integrated into your development process. Then we prepare you for certification with your chosen registrar.
Why clients trust our team.
Deep framework knowledge, cloud-native architecture expertise, and auditor relationships that get you clean reports.
Early ISO 42001 Practitioners
We've been working with AI governance frameworks since before ISO 42001 was published. Our team understands the standard's intent, not just its requirements, which means we build management systems that are genuinely effective, not just audit-ready.
Cross-Regulatory AI Knowledge
We track the EU AI Act, NIST AI RMF, state-level AI legislation, and sector-specific AI guidelines. We design AIMS implementations that position you for compliance across multiple regulatory regimes, not just ISO 42001 certification.
Technical AI Understanding
Our consultants understand model architectures, training pipelines, inference systems, and MLOps practices. We can have substantive conversations with your ML engineers and design controls that make technical sense, not generic governance that gets ignored.
Ideal For
Every engagement starts with a free call. No pitch, just an honest assessment of where you stand.
Book a Free Call →From our blog
EU AI Act Compliance for SaaS: Risk Tiers, Timeline, and What to Do Now
The EU AI Act applies to SaaS companies outside Europe too. Understand the four risk tiers, compliance criteria, 2026 enforcement timeline, and the practical steps your team should take now.
NIST AI RMF: A Practical Guide for SaaS Companies
The NIST AI Risk Management Framework provides a structured approach to managing AI risks. Here's how SaaS companies are using it in practice, and why it matters even though it's voluntary.
ISO 42001: What SaaS Companies Need to Know About AI Governance
ISO 42001 is the first international standard for AI management systems. If your SaaS product uses AI or ML, here's what the standard requires, why it matters, and how to approach certification.
Ready to move forward?
Book a free consultation with Glenn Chamberlain, Managing Principal. We'll scope out your engagement: timeline, deliverables, and what audit-ready looks like for your team.
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