Turn AI regulation into operational execution
Naaia translates complex regulatory requirements into actionable, trackable, and audit-ready workflows.
Get a demo
AI compliance is complex, fragmented and constantly evolving
-
Legal, risk, data, and engineering teams must collaborate—yet operate with different languages, tools, and priorities.
Compliance spans siloed teams
-
Mapping requirements, producing documentation, and tracking progress creates a heavy operational burden.
Compliance is time-consuming and manual
-
Frameworks change across jurisdictions, requiring continuous updates and re-alignment.
Regulations are constantly evolving
The core engine of Naaia
At the heart of the platform, Naaia’s Compliance Engine turns regulatory requirements into clear, executable actions and obligations.
It bridges the gap between legal interpretation and operational execution through a hybrid, fully traceable model.
Accelerate compliance across frameworks
Naaia enables cross-framework mapping, where one action can satisfy multiple obligations.
This “mix & match” approach eliminates duplication and keeps your compliance continuously aligned with evolving regulations.
Operate at scale, stay audit-ready
Naaia combines templates and AI-powered justification agents to generate audit-ready documentation in real time.
With built-in workflows, cloning, and dashboards, teams can assign, track, and scale compliance across the organization.
With Naaia
Make compliance actionable
Translate regulatory requirements into clear, assignable actions for every team.
Eliminate duplication across frameworks
Leverage cross-mapping to fulfill multiple obligations with a single effort.
Stay continuously audit-ready
Generate, justify, and maintain compliance documentation in real time.
Trusted by those who build with AI
Naaia enabled us to move toward a more value-driven approach to AI governance. Beyond compliance, the platform helps us prioritize AI initiatives based on business impact, risk, and strategic value.
Colas naturally selected Naaia for its intuitive user experience, as well as its educational and thought-leadership approach to simplifying complex AI topics. A truly collaborative framework was established throughout the project, driving stronger team engagement, seamless adoption, and operational efficiency.
We chose Naaia for its clear framework to inventory and govern our AI initiatives. We particularly appreciate the combination of its user-friendly tools, which make compliance more accessible, and the supportive guidance from their team.
Naaia helped us operationalize AI Act readiness across our regional authority’s services with a clear and trusted governance framework. The platform improved collaboration between departments and gave us the visibility needed to scale AI responsibly.
Learn about other capabilities
Frequently asked questions
-
Why is AI compliance becoming increasingly complex for enterprises managing multiple regulations?
AI compliance complexity has increased dramatically in 2026 for three reasons. First, the regulatory landscape is now global and fragmented: organizations must simultaneously manage the EU AI Act, ISO/IEC 42001, NIST AI RMF, US state laws (California, Texas TRAIGA), and APAC regulations (South Korea, China). Second, these frameworks have overlapping but not harmonized requirements, creating significant duplication in documentation efforts. Third, regulations are evolving rapidly — with new guidance and enforcement decisions changing compliance expectations on a near-monthly basis.
-
How can organizations streamline AI regulatory compliance workflows and reduce manual overhead?
Streamlining AI compliance workflows requires three changes: centralizing all compliance activities on a single platform (replacing disconnected spreadsheets and shared drives), automating evidence collection (automatically capturing logs, decisions, and system changes rather than relying on manual documentation), and adopting cross-framework mapping to eliminate duplicate documentation across overlapping regulations. Organizations that implement these changes typically reduce compliance-related manual work by 50–70%, freeing legal, risk, and technical teams to focus on higher-value activities.
-
What is cross-framework mapping in AI compliance?
Cross-framework mapping is the process of aligning a single AI system’s compliance documentation to the requirements of multiple regulatory frameworks simultaneously. Rather than building separate compliance programs for the EU AI Act, ISO/IEC 42001, and NIST AI RMF, cross-framework mapping identifies the overlapping requirements and creates a single body of evidence that satisfies all applicable standards. For example, an AI risk assessment conducted in line with ISO/IEC 42001 Annex A can be structured to simultaneously fulfill EU AI Act Article 9 obligations and NIST AI RMF ‘MAP’ function requirements — eliminating duplicated effort across frameworks.
-
How should legal, risk, and technical teams collaborate effectively on AI compliance?
Effective cross-functional AI compliance requires three structural elements: a shared platform where legal, risk, and technical teams access the same AI system documentation; defined roles and responsibilities (a RACI matrix clarifying who owns each compliance task); and regular governance touchpoints such as a quarterly AI compliance review. In practice, the most common failure mode is technical teams deploying AI systems before legal or risk teams have been consulted. Integrating governance checkpoints into the AI development lifecycle — at design, pre-deployment, and post-deployment stages — prevents this systematically.