Two Different Governance Problems
Model vs Employee
Enzai governs AI model development and documentation. PolicyGuard governs how employees use third-party AI tools like ChatGPT and Copilot. These are fundamentally different governance challenges.
The 80% Problem
80% of employees use AI tools, often without IT approval. A much smaller percentage of companies build proprietary AI models. Most organizations need employee AI governance first.
Quick Deployment
PolicyGuard deploys in days with a browser extension. Enzai is designed for AI/ML development workflows that require deeper integration with model pipelines.
Different Audiences
Enzai is built for AI/ML teams managing model development. PolicyGuard is built for compliance officers governing employee behavior. Choose based on your primary challenge.
PolicyGuard vs Enzai
| Capability | PolicyGuard | Enzai |
|---|---|---|
| Primary focus | Employee AI compliance | AI model compliance |
| Model documentation | Not applicable | |
| Development workflow | Not applicable | |
| Employee policy enforcement | ||
| Point-of-use acknowledgment | Yes (browser extension) | |
| Shadow AI detection | ||
| Employee training | Built-in modules | |
| Audit trail (employee) | Employee-focused | Model-focused |
| Target user | Compliance officers | AI/ML teams |
Who Should Choose PolicyGuard
- Organizations governing employee AI tool usage
- Compliance officers needing audit evidence for AI policy enforcement
- Companies without dedicated AI development teams
- Mid-market organizations needing quick policy enforcement deployment
Who Should Choose Enzai
- Organizations building proprietary AI models
- AI/ML teams needing development documentation and compliance
- Companies focused on AI model compliance and lifecycle governance
- Teams requiring AI model lifecycle governance tooling
Frequently Asked Questions
No. Enzai focuses on AI model development documentation and compliance, not employee behavior with third-party AI tools. If you need to govern how employees use tools like ChatGPT, Claude, or Gemini, PolicyGuard is designed for that specific challenge.
Only if you both build AI models AND need to govern employee AI usage. Most mid-market companies only need employee-level governance. If you do develop AI models, Enzai documents the development lifecycle while PolicyGuard handles employee policy enforcement.
PolicyGuard deploys in days with a browser extension and ready-to-use policy templates. Enzai typically requires longer implementation as it integrates with your AI model development workflow and documentation processes.
