ENTERPRISE
Enterprise AI Governance
Compliance infrastructure that scales with your AI deployment.
You're making thousands of AI decisions daily across multiple providers. You need governance infrastructure that works at scale—not documentation that sits in a drawer.
ENTERPRISE REQUIREMENTS
Built for enterprise requirements
Security & Compliance
| Data Residency | BYOC deployment in your cloud (AWS, Azure, GCP) |
| Network Isolation | PrivateLink connectivity—traffic never touches public internet |
| Encryption | BYOK—encryption keys you control |
| Authentication | SSO via SAML 2.0 or OIDC, RBAC with namespace isolation |
| Audit | SOC 2 Type II (in progress), ISO 42001 alignment |
Scale
| Throughput | 10,000+ predictions/second |
| Storage | Event-sourced architecture scales with your needs |
| Multi-Region | Deploy across regions for compliance and latency |
Integration
| Identity | Okta, Azure AD, Ping, custom SAML/OIDC |
| SIEM | Splunk event forwarding, webhook dispatcher |
| GRC | ServiceNow synchronization |
| CI/CD | GitHub Actions, GitLab CI, Jenkins |
THE ENTERPRISE AI CHALLENGE
Enterprise AI at scale
The Multi-Provider Reality
Your enterprise likely uses multiple AI providers:
- Claude for customer service
- GPT for document processing
- Gemini for search and retrieval
- Open-source models for cost optimization
The problem: Each provider has different logging, different APIs, different audit capabilities. How do you govern consistently across all of them?
The Scale Challenge
You're not making 10 AI decisions a day—you're making 10,000. Or 100,000.
- Can humans actually review what needs review?
- Are reviewers rubber-stamping or meaningfully engaging?
- What happens when decision volume exceeds review capacity?
The Compliance Reality
| EU AI Act (if high-risk) | Complete audit trail, human oversight, accuracy documentation |
| GDPR | Explainable automated decisions |
| Industry-specific | Finance: ECOA, Basel. Healthcare: HIPAA, MDR. HR: LL 144 |
ENTERPRISE CAPABILITIES
Built for enterprise scale
Multi-Provider Orchestration
One governance layer across all your AI providers.
- Unified audit trail regardless of which model handles the request
- Cost-based routing to optimize spend across providers
- Quality-based routing to match task complexity to model capability
- Automatic failover when providers are unavailable
- Consensus mode for critical decisions requiring agreement
Enterprise HITL at Scale
Human oversight that actually works at enterprise volume.
- Doubt-based routing sends only uncertain decisions for review
- Automation bias detection identifies reviewers who are rubber-stamping
- Capacity monitoring alerts when review queues exceed capacity
- Role-based escalation routes decisions to appropriate expertise levels
Cross-Model Learning Transfer
Your AI investment isn't locked to any single provider.
- 93.3% transfer efficiency when switching providers
- Accumulated patterns transfer with your learning
- No vendor lock-in for your most valuable AI asset: institutional knowledge
- Negotiating leverage with providers who know you can leave
Compliance Module Framework
Pluggable compliance modules for your regulatory requirements.
| EU AI Act | Articles 9, 12, 13, 14, 15, 72 |
| SOC 2 | All five Trust Services Criteria |
| ISO 42001 | All 39 Annex A controls |
| FedRAMP | NIST 800-53 (Low/Moderate/High) |
ENTERPRISE DEPLOYMENT
Deploy in your environment
AWS
Deploy in your VPC with full AWS integration.
- Deploy in your VPC
- Use your KMS for encryption
- PrivateLink for network isolation
- IAM integration
Azure
Deploy in your subscription with Azure-native security.
- Deploy in your subscription
- Azure Key Vault for encryption
- Private Link connectivity
- Azure AD integration
GCP
Deploy in your project with Google Cloud integration.
- Deploy in your project
- Cloud KMS for encryption
- Private Service Connect
- Cloud Identity integration
Air-Gapped
For classified or highly sensitive environments.
- Zero external network connectivity
- Local model support (no external API calls)
- Bidirectional sync when temporarily connected
- Meets defense and intelligence requirements
ENTERPRISE SUPPORT
Support that matches your requirements
Implementation
- Dedicated implementation team
- Integration architecture review
- Custom integration development as needed
- Migration support from existing solutions
Ongoing Support
- Named customer success manager
- SLA-backed response times
- Quarterly business reviews
- Early access to new capabilities
Professional Services
- Custom check development
- Compliance module customization
- Training and enablement
- Architecture advisory
ENTERPRISE-PROVEN
Enterprise-proven architecture
CleanAim's enterprise capabilities are built on architecture proven across 1.1 million lines of production code.
Lines of code
Audit score
Capture rate
Transfer efficiency
CleanAim's founder previously served 30+ Fortune 500 clients including JP Morgan, Shell, McKinsey, and NATO through x.hlp Technologies (acquired by SAP).
Enterprise AI governance that scales.
Request an enterprise demo to see CleanAim® in your environment with your requirements.
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