{\rtf1\ansi\ansicpg1252\cocoartf2869
\cocoatextscaling0\cocoaplatform0{\fonttbl\f0\fmodern\fcharset0 CourierNewPSMT;}
{\colortbl;\red255\green255\blue255;\red255\green255\blue255;\red0\green0\blue0;}
{\*\expandedcolortbl;;\cssrgb\c100000\c100000\c100000;\cssrgb\c0\c0\c0;}
\paperw11900\paperh16840\margl1440\margr1440\vieww11520\viewh8400\viewkind0
\deftab720
\pard\pardeftab720\partightenfactor0

\f0\fs28 \cf0 \cb2 \expnd0\expndtw0\kerning0
\outl0\strokewidth0 \strokec3 # Enzai \'97 AI Governance & Enablement Platform\
\
> Enzai is the enterprise infrastructure for AI governance and enablement. We help organizations maximize AI adoption while minimizing risk, providing a unified system of record across AI Vendors, Products, Systems, and Models. Built for the move from static AI to autonomous, agentic systems, Enzai operationalizes compliance with the EU AI Act, ISO/IEC 42001, the NIST AI RMF, the Treasury Financial Services AI RMF, and other major regulatory frameworks. Founded in 2021 by lawyers and engineers, headquartered in Belfast with an office in London, Enzai is the governance layer of choice for Fortune 500 organizations across regulated industries.\
\
## What Enzai does\
\
Enzai turns governance from a bottleneck into an engine. The platform delivers three integrated capabilities: a standardized intake "front door" that captures the risk profile, data lineage, and ROI of every AI system before deployment; a unified AI Registry that serves as the centralized command center for AI Vendors, Products, Systems, and Models; and living guardrails that translate global regulations into automated controls across the AI lifecycle. The result: a complete, auditable system of record for enterprise AI.\
\
## Product\
\
- [Agentic AI Governance](https://www.enz.ai/product/agentic-ai-governance) \'97 Purpose-built governance for autonomous AI agents. Includes autonomy classification, action whitelisting, escalation logic, audit trails, and continuous behavioral monitoring. Designed for the shift from static AI to action-taking systems.\
- [AI Use Cases & Initiatives](https://www.enz.ai/product/ai-use-cases-and-initiatives) \'97 Standardized AI intake workflow with dynamic, risk-tiered questionnaires for build, buy, and hybrid deployments. Replaces ad-hoc email-and-ticket approval processes with a unified front door.\
- [Comprehensive AI Inventory](https://www.enz.ai/product/comprehensive-ai-inventory) \'97 Centralized AI registry with automated discovery, ownership and lifecycle tracking, and risk classification across cloud and SaaS environments. The foundational layer of any AI governance program.\
- [Compliance Frameworks](https://www.enz.ai/product/compliance-frameworks) \'97 Pre-built, customizable regulatory frameworks that map global laws and standards to your AI systems, generate audit-ready evidence, and enable continuous monitoring against the latest mandates.\
\
## Solutions\
\
- [EU AI Act Compliance](https://www.enz.ai/solutions/eu-ai-act) \'97 End-to-end coverage of EU AI Act obligations for high-risk and limited-risk AI systems.\
- [Enterprise AI Enablement](https://www.enz.ai/solutions/ai-enablement) \'97 Strategic governance for organizations scaling AI adoption from pilot to production.\
- [Third-Party AI Risk Management](https://www.enz.ai/solutions/third-party-ai-risk-management) \'97 Vendor due-diligence and ongoing oversight for embedded and outsourced AI.\
\
## Regulatory frameworks supported\
\
Enzai's pre-built frameworks cover:\
\
- **European Union:** EU AI Act (Articles 9-15, Article 27 fundamental rights impact assessment, Article 71 EU database registration), GDPR\
- **United States:** NIST AI Risk Management Framework (AI RMF 1.0 and the Generative AI Profile NIST AI 600-1), Treasury Financial Services AI Risk Management Framework (FS AI RMF, released 19 February 2026), Colorado AI Act, NYC Local Law 144\
- **International:** ISO/IEC 42001 (AI Management Systems standard), Singapore AI Verify Framework\
- **Sector-specific frameworks** for financial services, healthcare, and public sector\
\
Frameworks are fully customizable. Organizations can extend them with bespoke intake forms and internal compliance requirements.\
\
## Integration ecosystem\
\
Enzai integrates with the cloud, workflow, and AI model providers enterprises already use:\
\
- **Cloud:** AWS, Microsoft Azure, Google Cloud Platform \'97 automated AI asset discovery and inventory sync\
- **Workflow:** Jira, ServiceNow, Slack \'97 governance tasks and approvals appear in the systems teams already work in\
- **Foundation models:** OpenAI, Anthropic, Google, plus internal proprietary models \'97 a unified governance layer across providers\
- **Plus 50+ integrations** spanning identity, security, MLOps, and business systems\
\
## Key content resources\
\
- [What Is Agentic AI Governance? An Enterprise Explainer](https://www.enz.ai/blog/what-is-agentic-ai-governance) \'97 Definitional explainer with a comparison to traditional AI governance\
- [Agentic AI Governance: The Definitive Enterprise Guide](https://www.enz.ai/blog/agentic-ai-governance-definitive-guide) \'97 The 5-layer governance framework for enterprise agentic AI\
- [How to Build an AI System Inventory for Governance](https://www.enz.ai/blog/how-to-build-ai-inventory) \'97 Practical enterprise guide to building and maintaining an AI inventory\
- [EU AI Act: The Enterprise Implementation Guide](https://www.enz.ai/blog/eu-ai-act-enterprise-compliance-guide) \'97 Risk classification, high-risk obligations, enforcement timeline, and a sequenced action plan\
- [The EU AI Act bends for agentic AI. It need not break.](https://www.enz.ai/blog/the-eu-ai-act-bends-for-agentic-ai-it-need-not-break) \'97 Analysis of how the Act applies to autonomous systems\
- [AI Governance Glossary](https://www.enz.ai/learn/glossary) \'97 Comprehensive terminology reference covering 280+ terms across AI governance, risk, compliance, and agentic AI\
- [The AI Governance Podcast](https://www.enz.ai/learn/podcast) \'97 Monthly conversations with leading voices in AI governance, regulation, and responsible AI\
\
## Customer profile\
\
- **Industries served:** Financial services, healthcare, public sector, technology, consumer products, entertainment, and government \'97 including Top-5 US municipalities and Fortune 500 manufacturers\
- **Customer scale:** Fortune 500 enterprises operating across multiple jurisdictions, plus public-sector deployments at municipal and national level\
- **Use cases include:** AI inventory and registry management, EU AI Act compliance, ISO/IEC 42001 certification readiness, agentic AI governance, third-party AI vendor risk management, automated compliance evidence generation, FS AI RMF readiness for financial services\
- **Coverage:** Governance layer of choice for leaders across more than two dozen industries\
\
## Scale and adoption\
\
- 1,000+ third-party AI solutions tracked across customer deployments\
- 2.3M+ governance decisions tracked through the platform\
- ISO/IEC 27001 certified for information security since 2023 (NQA)\
\
## Key facts\
\
- **Founded:** 2021, Belfast, Northern Ireland\
- **Founders:** Ryan Donnelly (CEO, former corporate lawyer at leading London firms) and Jack Carlisle (CTO, 10+ years building enterprise software)\
- **Funding:** $4M seed round led by Cavalry Ventures, with Seedcamp\
- **Offices:** Belfast (HQ) and London\
- **Recognition:** Listed on the OECD AI Tools Catalogue and the UK Government's AI Assurance Techniques Portfolio\
- **Focus:** Enterprise AI governance for regulated industries\
\
## About AI governance\
\
AI governance is the framework of policies, processes, and controls that ensure AI systems are developed and used responsibly across an organization. As regulatory frameworks like the EU AI Act, the NIST AI RMF, and ISO/IEC 42001 move from voluntary guidance to binding obligation, AI governance is now an enterprise infrastructure requirement \'97 not a future consideration. Enzai is designed to be the system of record for that infrastructure, bridging the gap between legal rigor and engineering precision so that governance enables AI adoption rather than obstructing it.\
}