Industry
AI Governance for Technology
Technology companies build and deploy AI at scale. Internal governance is the foundation of external trust, and increasingly a regulatory requirement.
The Challenge
Navigating AI risk in Technology.
01
Internal AI policy gaps
Engineering and product teams are building and deploying AI systems without enterprise-wide policies covering acceptable use, data handling, model documentation, or accountability structures.
02
EU AI Act obligations for AI system providers
Technology companies that build or deploy AI systems are directly in scope of the EU AI Act. Compliance obligations, including conformity assessments and technical documentation, are already in effect for many use cases.
03
Trust and transparency expectations
Enterprise customers, regulators, and boards are asking technology companies to demonstrate responsible AI practices. The absence of a governance program is increasingly a competitive and commercial liability.
How We Help
Discover. Govern. Operate.
We inventory every AI system built, deployed, or operated across your organization, from customer-facing products to internal tools. We classify each by EU AI Act risk tier, data sensitivity, and regulatory obligation.
We build enterprise AI governance policies, model documentation standards, and acceptable use frameworks. We align your program to EU AI Act requirements, ISO 42001, and SOC 2 expectations for AI risk. We establish data governance controls that define how AI systems access, use, and retain customer data, proprietary training data, and internal information assets.
We run your AI governance program, including continuous compliance monitoring, EU AI Act readiness assessments, vendor AI risk reviews, and the board and customer-facing reporting your stakeholders expect.
Regulatory Landscape
Frameworks that apply to you.
EU AI Act
The EU's comprehensive AI regulation creating risk-based obligations for AI system providers and deployers, including conformity assessments, technical documentation, and transparency requirements.
ISO 42001
International standard for AI management systems, increasingly required by enterprise customers and procurement processes.
NIST AI RMF
NIST AI Risk Management Framework providing a structured approach to identifying, assessing, and managing AI risk.
SOC 2
AI risk is increasingly part of SOC 2 examinations, particularly around availability, confidentiality, and processing integrity.
Internal AI Policy
Enterprise-grade internal policies covering model governance, acceptable AI use, and employee AI tool standards.
Get Started
Ready to govern AI responsibly?
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