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.

BYOC Deployment SOC 2 Ready Multi-Provider Support

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

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

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)

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

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 architecture

CleanAim's enterprise capabilities are built on architecture proven across 1.1 million lines of production code.

1.1M+

Lines of code

98/100

Audit score

99.8%

Capture rate

93.3%

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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