THE "BLACK BOX" PROBLEM
Organizations are rushing to adopt Generative and Agentic AI, but traditional GRC frameworks aren't built for non-deterministic models. Without specific AI governance, you face:
- Regulatory ExposureNon-compliance with EU AI Act, NYC Bias Law, and emerging state regulations.
- Data LeakageSensitive IP or PII inadvertently trained into public models or leaked via prompts.
- Model Hallucinations & BiasReputational damage from incorrect or discriminatory AI outputs.
of organizations lack
AI usage policies
OUR AI GOVERNANCE CAPABILITIES
We evaluate your current AI landscape against NIST AI RMF and ISO 42001 standards to identify gaps and high-risk use cases.
- Inventory & Discovery
- Impact Analysis
- Vendor Risk Review
We build the "rules of the road" for your AI adoption. Custom policies, acceptable use standards, and governance committee charters.
- Acceptable Use Policy
- Model Development Standards
- Human-in-the-loop Protocols
You can't govern what you can't see. We use advanced scanning tools to identify unauthorized AI tools and configurations being used on your network.
- Network Traffic Analysis
- SaaS Usage Audit
- Remediation Planning
AI FRAMEWORKS THAT ENABLE GROWTH
We don't just check compliance boxes. We help you identify AI opportunities, select the right tools, train your teams, and establish governance that accelerates—not hinders—your AI adoption.
NIST AI RISK MANAGEMENT FRAMEWORK (AI RMF)
The NIST AI RMF provides a structured approach to managing AI risks throughout the lifecycle. We use it as a foundation to help you move from reactive AI adoption to strategic AI enablement.
Our Approach
We start by identifying which business processes will benefit most from AI augmentation—customer service, document processing, data analysis, or decision support. Then we assess your current AI landscape against the four NIST functions: Govern, Map, Measure, and Manage.
Deliverables
- • AI opportunity assessment with ROI projections
- • Risk-tiered AI inventory (high/medium/low impact)
- • Tool selection criteria and vendor evaluation
- • Staff training roadmap for safe AI usage
- • Governance playbook with approval workflows
- • Cost, outcomes, and usage metrics dashboard
Typical time to AI governance maturity with accelerated adoption
Based on client engagements 2023-2025. We establish baseline metrics and track progress quarterly.
EU ARTIFICIAL INTELLIGENCE ACT (EU AI ACT)
The EU AI Act is the world's first comprehensive AI regulation, categorizing AI systems by risk level. For organizations operating in or selling to the EU, compliance isn't optional—but it doesn't have to slow you down.
Our Approach
We classify your AI systems into the EU's risk categories (unacceptable, high, limited, minimal) and build compliance programs that match the risk level. For high-risk systems, we implement technical documentation, human oversight, and transparency requirements while helping you select compliant AI tools and train staff on proper usage.
Deliverables
- • AI system risk classification matrix
- • Technical documentation templates for high-risk AI
- • Human oversight and intervention protocols
- • Transparency and disclosure mechanisms
- • Vendor compliance verification checklist
- • Staff training on EU AI Act requirements
- • Ongoing monitoring and reporting procedures
Organizations that proactively address EU AI Act requirements gain market access and customer trust. We help you turn regulatory compliance into a differentiator.
ISO/IEC 42001 AI MANAGEMENT SYSTEM
ISO 42001 is the international standard for AI management systems, providing a certifiable framework for responsible AI development and deployment. It's the AI equivalent of ISO 27001 for information security.
Our Approach
We implement ISO 42001 controls across your AI lifecycle—from opportunity identification and tool selection through deployment, monitoring, and continuous improvement. Our focus is on building a management system that enables safe, rapid AI adoption rather than creating bureaucratic overhead.
Deliverables
- • AI management system documentation (policies, procedures, records)
- • AI opportunity assessment and business case templates
- • Tool evaluation and selection framework
- • Staff competency matrix and training program
- • Risk assessment and treatment procedures
- • Performance metrics and KPI dashboard
- • Internal audit program and certification readiness
ISO 42001 certification demonstrates to customers, partners, and regulators that you have a mature, auditable AI management system in place.
Timeline varies based on organization size and AI maturity. We sit on your side during the certification audit.