Trusted AI Governance · Global Compliance
NIST AI Risk Management Framework (AI RMF) Assessment
Build trustworthy, secure, explainable, and responsible AI systems by assessing your organization’s AI governance and risk management practices against the NIST AI RMF.
The NIST AI Risk Management Framework (AI RMF 1.0) provides a voluntary framework for managing AI risks across the AI lifecycle while promoting trustworthy AI. Veloraa.ai’s independent assessments give you an evidence-based view of where your organization stands today — and a clear roadmap to strengthen governance and regulatory readiness.
AI Trustworthiness Dashboard
NIST AI RMF-aligned assessment
Independent Assessors
Vendor-Neutral
Global Best Practice
A globally recognized framework for trustworthy AI
The NIST AI Risk Management Framework (AI RMF 1.0) is a globally recognized framework developed by the U.S. National Institute of Standards and Technology to help organizations manage AI-related risks while fostering trustworthy AI.
Govern AI Responsibly
Establish culture, policy and accountability for AI risk across the organization.
Identify AI Risks
Surface context, use-cases and impacts across the AI lifecycle.
Measure Performance & Trustworthiness
Analyze and benchmark AI systems with rigorous, repeatable methods.
Manage AI Risks Continuously
Prioritize, treat and monitor risk with resources allocated to respond.
Improve Transparency
Make AI decisions, data use and limitations understandable to stakeholders.
Strengthen Accountability
Assign clear ownership for AI outcomes at every stage of the lifecycle.
The Framework
Core Functions of the NIST AI RMF
Four continuous functions that work together across the AI lifecycle.
Govern
Establish governance structures, policies, accountability, culture, and oversight for AI systems.
Map
Understand AI context, intended use, stakeholders, impacts, and potential risks.
Measure
Assess AI system performance, fairness, explainability, robustness, privacy, security, and reliability.
Manage
Prioritize, respond to, monitor, and continuously improve AI risk management activities.
Our Process
Our Assessment Methodology
A disciplined, ten-stage path from first conversation to a continuous improvement plan.
Industries We Support
Banking
Financial Services
Insurance
Healthcare
Manufacturing
Retail
Telecommunications
Government
Energy
Education
Automotive
Technology
Veloraa’s agentic AI governance framework structures controls across three temporal layers — what you build into the agent before it runs, what you enforce while it runs, and how you account for what it did after it runs. No single layer is sufficient alone.
Why Choose Veloraa
Global AI Governance Expertise
Methodology drawing on international standards and regulatory precedent.
Independent Consulting
No conflicts of interest — we advise, we don't build AI systems.
Certified AI Professionals
Credentialed lead auditors across AI management standards.
Standards-Based Approach
Assessments grounded in recognized international AI frameworks.
Vendor Neutral Advice
Recommendations serve your risk posture, not a platform's roadmap.
Executive Advisory
Findings translated into board-level, decision-ready insights.
Practical Implementation Experience
Guidance shaped by hands-on delivery, not just theory.
Regulatory Expertise
Findings cross-mapped to the regulatory frameworks that apply to you.
Risk-Driven Methodology
Engagements prioritized and scoped around your actual risk exposure.
Actionable Recommendations
Every finding ships with a concrete, owned remediation step.
Enterprise-Ready Solutions
Built to scale across complex, multi-team organizations.
Continuous Support
Ongoing guidance well after the engagement wraps up.
Ready to Build Responsible AI?
Partner with Veloraa to design, govern, secure, and scale trustworthy AI systems through globally recognized standards, expert consulting, and practical implementation support.