Why companies need an AIMS
Deploying an AI model without a clear framework may seem harmless… until the GDPR audit.
This increasingly common case illustrates a simple reality: without a structuring framework, deploying AI in a company means taking major risks.
This is precisely the role of an AIMS – Artificial Intelligence Management System: to centralize AI governance, ensure compliance, and manage the risks, performance, and costs of AI projects.
AIMS definition: What is an Artificial Intelligence Management System?
An AIMS is a SaaS platform that oversees the entire lifecycle of artificial intelligence systems, from design to decommissioning.
It allows companies to:
- Manage all their AI products from a single inventory
- Comply with the requirements of the AI Act, , as well as all global AI regulations and standards ISO/IEC 42001:2023
- Monitor risks, costs, and performance in an integrated way
- Align AI models with the organization’s strategic goals
For more context on legal and normative frameworks, see our article dedicated to voluntary standards.
Key AIMS modules for a structured AI governance
1.Complete inventory of AI Products
An AIMS centralizes metadata for each AI product: name, version, owner, use case, documentation, technical components…
It thus offers a single source of truth for the entire organization.
2. AI Risk qualification and assessment
The system determines the scope of each product and assesses its risk level. It also places the organization within the AI value chain. It is the operator status: designer, provider, user.
3. AI compliance action plan
For each product, a compliance roadmap is generated, with assigned tasks, deadlines, approvals, and evidence to be brought into and documented within the AIMS.
4. Continuous monitoring and oversight
The AIMS monitors events related to the AI product lifecycle. It manages incidents, triggers alerts, and ensures traceability of corrective actions.
5. Cross-Functional features and integration
Interactive dashboards synthesize data on compliance, performance, and risk. APIs and connectors facilitate integration with the existing ecosystem (IMS, Cybersecurity, notifications, inventory and components, Data Governance…).
AIMS and AI Compliance: Strategic Benefits for Your Organization
Centralized and standardized AI governanceThe AIMS allows unifying AI processes within the company. It ensures consistency, transparency, and continuity, regardless of the number of use cases or teams involved.
Time and peace of mind saved during audits
Thanks to the centralization of evidence, the AIMS reduces delays and costs associated with regulatory inspections. It also facilitates responding to regulator requests.
Better control over AI risks
By detecting biases, security breaches, and anomalies early, through declarations from users, providers, and partners, the AIMS enables proactive risk management and intelligent prioritization of corrective actions.
A consolidated strategic and operational view
The AIMS provides an overview of AI products: performance, costs, status, priorities. This supports budget decisions, resource optimization, and global steering.
An agility lever to handle regulatory change
The AIMS enables the organization to anticipate changes (AI Act, ISO, national standards) and to turn constraints into differentiating opportunities.
Why choose an Artificial Intelligence Management System like Naaia?
At Naaia, we have designed a modular, scalable, and interoperable AIMS, specifically created for organizations that want to professionalize their AI governance.
Our platform enables you to:
- Reduce your regulatory risks while accelerating innovation
- Unite your teams around a shared framework
- Turn your AI strategy into a lever for performance and trust
Ready to structure your AI governance?