Trusted AI Governance · Global Compliance
EU AI Act Readiness Consulting
Prepare your organization for the European Union AI Act by implementing governance, risk management, documentation, and operational controls that support trustworthy and compliant AI.
Veloraa helps organizations understand their obligations under the EU AI Act, classify AI systems, identify compliance gaps, establish governance frameworks, and prepare for regulatory expectations while enabling responsible AI innovation.
Planning & Reasoning
Multi-step task decomposition
Tool Use
APIs, browsers, code, data
Memory & Context
Persistent state across sessions
Autonomous Action
Real-world effects without per-step approval
Agent Orchestration
Delegation to sub-agents and workflows
3
Governance Layers
4
Core Services
3
Standards Aligned To
Now
The Time to Govern Agentic AI
What Makes an Agent
Agentic AI
Multi-step task decomposition
APIs, browsers, code, data
Persistent state across sessions
Real-world effects without per-step approval
Each of these capabilities introduces a governance gap that traditional AI oversight frameworks were not designed to close. The combination creates compounding risk — an agent that plans, acts, remembers, and delegates can cause significant, irreversible harm before a human is even aware an issue has occurred.
The Governance Framework
Three Layers. Every Agentic AI System Needs All Three.
Controls structured across three temporal layers — what you build in before it runs, what you enforce while it runs, and how you account for what it did after it runs.
Design-Time Governance
Controls built into the agent before deployment — permissions, system prompts, and impact assessment.
- Minimum-privilege permission scoping
- System prompt governance
- Pre-deployment impact assessment
Runtime Oversight
Checkpoints, triggers, and monitoring that maintain meaningful human control during execution.
- Intervention triggers and thresholds
- Authorization gates for irreversible actions
- Real-time monitoring and tool-call logging
Post-Action Accountability
Audit trails and incident response that let you account for what an agent did and respond when it goes wrong.
- Complete, tool-call-level audit trails
- Agentic AI incident response procedures
- Remediation for irreversible actions
Four Ways Veloraa Supports Agentic AI Governance
Agentic AI governance is a new field. We provide the structure, expertise, and practical frameworks to do it well, at whatever stage your agentic programme currently sits.
Agentic AI Governance Assessment
An independent evaluation of your current agentic AI posture — inventory, controls, oversight, and incident response — against Veloraa's three-layer framework, producing a prioritized roadmap.
Governance Framework Design
We design and implement your complete agentic AI governance programme — inventory, policy suite, impact assessments, and oversight architecture — integrated with your existing AI governance.
Pre-Deployment Agent Assessment
A structured governance review for a specific agent before it goes live — permissions, system prompt risk, failure modes, and human oversight adequacy — with a clearance recommendation.
Incident Response Design
Incident response procedures specific to agentic AI failure modes — agent suspension, downstream effect assessment, and remediation — tested via tabletop exercise before handover.
Grounded In Standards
Not a Separate Compliance Regime
Agentic AI governance extends and deepens the requirements of frameworks your organization may already be implementing — it does not replace them.
What You Receive
A Governance Programme Built for Autonomous AI.
At the close of a Veloraa agentic AI governance engagement, you have the policies, controls, oversight mechanisms, and incident response procedures to deploy agentic AI responsibly — and the agent inventory and audit infrastructure to demonstrate that to regulators, auditors, and boards.
- Complete agent inventory covering all deployed and in-development agents
Why Veloraa
We build frameworks for capabilities existing standards weren't designed for.
Anchored in ISO 42001, EU AI Act, and NIST AI RMF — not invented in isolation.
We understand how agents work, not just how to write policies about them.
Every output is designed to satisfy internal audit and board-level scrutiny.
FAQ
Frequently Asked Questions
What makes agentic AI different from traditional AI governance?
Does agentic AI governance replace ISO/IEC 42001 or the EU AI Act?
Where should we start if we already have agents in production?
Do you review agents built on any framework or model provider?
How does this relate to your Internal Audit service?
Start Now
Your Agents Are Acting. Is Your Governance Keeping Up?
Start with a governance review. We will assess your agentic AI estate, identify the highest-priority governance gaps, and give you a practical roadmap to build oversight that actually works for autonomous systems.
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