# AI Governance & Responsible AI, Make every model and agent accountable We design and run AI governance (inventory, risk assessment, policies, human oversight and monitoring) aligned to ISO/IEC 42001, the NIST AI RMF and your regulators. ## Outcomes - **Visible AI estate:** Every model, copilot and agent registered and owned. - **Risk-based control:** Stronger controls where impact is higher, lighter where it isn't. - **Regulator confidence:** Evidence ready for auditors, boards and customers. ## Our point of view **Governance is what lets AI go faster.** Without it, every agent waits for a security and legal veto. A clear risk-tiered framework gives teams a fast, pre-approved path to production. ## Where we apply it - **AI policy & standards:** Principles turned into practical rules. - **Model risk management:** Validation and monitoring for regulated models. - **Agent oversight design:** Approval thresholds, logging and kill switches. - **ISO/IEC 42001 programme:** Management system ready for certification. - **Third-party AI risk:** Assess vendors' and SaaS AI features. - **Board AI reporting:** Risk and value dashboards for leadership. ## What we deliver - AI policy and governance framework - AI inventory and risk tiering - Impact assessments and model documentation - Human-oversight and approval design for agents - Monitoring, reporting and audit evidence ## Partner technologies - [IBM](https://www.nitronedge.com/solutions/platform-solutions/ibm/), Platform Solutions - [LockThreat](https://www.nitronedge.com/solutions/agentic-ai-security/lockthreat/), Agentic AI Security - [Zenity](https://www.nitronedge.com/solutions/agentic-ai-security/zenity/), Agentic AI Security - [TÜV SÜD](https://www.nitronedge.com/solutions/business-solutions/tuv-sud/), Business Solutions ## Method - 01 Discover (1–2 weeks): Identify the workflow, establish the baseline and define a useful outcome, with a clear view of readiness and risk. - 02 Design (1–3 weeks): Choose the architecture, data boundaries and human checkpoints; agree security and governance up front. - 03 Build (4–10 weeks): Integrate, evaluate and test with the people who will use the system, in weekly sprints on your data. - 04 Evolve (Ongoing): Monitor quality, track value, secure operations and expand what works. ## FAQ ### Which framework should our AI governance follow? ISO/IEC 42001 for a certifiable management system and the NIST AI RMF for risk practices are common foundations, mapped to your local regulators' expectations. ### Does governance slow innovation down? Done well, it speeds it up: low-risk use cases get a fast, pre-approved path, and high-risk ones get the right controls early instead of late. ### Can NitronEdge provide AI Governance & Responsible AI services in Saudi Arabia, the USA or India? Yes. We work with organisations across the Middle East (United Arab Emirates, Saudi Arabia, Oman, Qatar, Bahrain, Kuwait), Africa (South Africa, Nigeria, Kenya, Egypt), the USA, India and Canada. Delivery is remote and on-site, and we design every project around the local data protection and data residency rules.