Holistic AI Platform
Holistic AI is an enterprise-grade AI governance platform designed to standardize compliance and manage algorithmic risk across complex environments.
Publisher review
Holistic AI is an enterprise-grade AI governance platform designed to standardize compliance and manage algorithmic risk across complex environments. It is built for large enterprises and highly regulated industries—financial services, insurance, healthcare, government, telecommunications, automotive, and e-commerce—that need rigorous, evidence-based oversight of AI systems. The platform helps organizations identify shadow AI, protect models against bias and security vulnerabilities, and enforce regulatory compliance continuously and automatically. It is trusted by global enterprises such as Unilever, Siemens, eBay, and GSK, and is positioned as a purpose-built alternative to generic GRC tools or fragmented spreadsheets.
The platform operates in three phases: Identify, Protect, and Enforce. Identify uses AI Discovery and Centralised Inventory to uncover undocumented AI—industry research suggests 60% of enterprise AI is shadow AI. Protect includes Risk Management, LLM Testing, Bias Audit, and AI Red Teaming, covering over 40 risk dimensions that most organizations leave untested. Enforce provides Policies & Controls, Compliance workflows, and Reporting that generate audit-ready evidence. The platform integrates with Google Cloud, Confluence, Jira, GitHub, Okta, Zscaler, and Microsoft Azure, and supports regulatory frameworks such as the EU AI Act (fines up to €35 million per Article 99), NIST AI RMF, and ISO 42001.
Holistic AI competes directly with IBM Watsonx.governance, Credo AI, Amazon SageMaker, FairNow, and Dataiku. It has been recognized among AI Breakthroughs, featured in IDC ProductScape, named a Cool Vendor by Gartner, and positioned as a Leader in Avasant's Responsible AI Platforms RadarView. However, it was not evaluated in the Forrester Wave: AI Governance Solutions, which may be a gap for buyers relying on that analyst coverage. Its integrations with major cloud and DevOps tools give it an edge over more narrowly focused competitors like Alert AI (GenAI Application Firewall) or elvex.
The honest trade-off: Holistic AI excels at technical compliance verification and continuous monitoring, but its workflows are less customizable than some enterprises need for policy orchestration across business units. Pricing is custom—no public tiers—which can make budgeting opaque for smaller teams. The platform is designed for scale, so organizations with fewer than 50 AI models may find it heavy. Additionally, while it covers ESG metrics and carbon emissions tracking, these features are secondary to its core governance focus, and competitors like Credo AI offer more tailored bias testing for specific use cases.
How it works
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Risk Assessment and Mitigation
Quantifies financial and reputational impact of AI failures, prioritizing high-risk models for strategic resource allocation.
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Regulatory Compliance Tracking
Monitors adherence to EU AI Act, NIST AI RMF, ISO 42001, and other global regulations with automated evidence generation.
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Shadow AI Discovery
Scans the enterprise ecosystem to detect undocumented AI systems, addressing the 60% of AI that is shadow AI.
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Automated Testing
Continuously tests models for bias, security flaws, and hallucinations across 40+ risk dimensions.
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Audit Management
Centralizes auditable records and generates standardized model cards and regulatory reports for compliance.
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Continuous Monitoring
Monitors model performance and risk post-deployment to catch degradation and drift that manual checks miss.
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Enterprise Tool Integrations
Integrates with Google Cloud, Confluence, Jira, GitHub, Okta, Zscaler, and Microsoft Azure for DevOps workflows.
Strengths and trade-offs
Strengths
- Provides complete visibility into all AI systems across the enterprise, including undocumented shadow AI that accounts for 60% of deployments.
- Delivers continuous risk testing covering 40+ risk dimensions, including bias, security, and hallucination detection.
- Generates audit-ready evidence automatically, reducing deployment delays from 8–16 weeks to days.
- Recognized as a Leader in Avasant's Responsible AI Platforms RadarView and named a Cool Vendor by Gartner.
Trade-offs
- Workflows are less customizable than some enterprises need for policy orchestration across diverse business units.
- Pricing is custom only with no public tiers, making budgeting opaque for smaller teams or those with limited AI models.
- Not evaluated in the Forrester Wave: AI Governance Solutions, limiting analyst coverage for buyers relying on that report.
- ESG and carbon emissions tracking features are secondary to core governance, with less depth than dedicated sustainability tools.
Pricing context
Custom pricing based on business needs; no public tiers or per-model costs available. Request a personalized quote via demo.
Getting started with Holistic AI Platform
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Request a demo
Visit the Holistic AI website and fill out the demo request form with your company details and use case. A sales representative will contact you to schedule a personalized walkthrough and discuss custom pricing for your organization.
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Connect your AI inventory
After gaining platform access, integrate with your existing tools like Google Cloud, Azure, Jira, or GitHub. Use the AI Discovery feature to scan your enterprise ecosystem and automatically detect all AI systems, including shadow AI.
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Configure risk dimensions
Select the risk dimensions relevant to your models from the 40+ available options, such as bias, security, and hallucination testing. Set thresholds for each dimension based on your regulatory requirements and risk tolerance.
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Run automated tests
Initiate automated testing on your identified AI models. The platform will continuously evaluate them against the configured risk dimensions, generating reports on bias, security vulnerabilities, and performance drift without manual intervention.
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Generate compliance reports
Access the audit management module to compile standardized model cards and regulatory reports. Export evidence for frameworks like the EU AI Act or NIST AI RMF, and share them with stakeholders to demonstrate compliance readiness.
Frequently Asked Questions
What is Holistic AI Platform used for?
Holistic AI is an enterprise-grade AI governance platform that standardizes compliance and manages algorithmic risk. It helps organizations identify shadow AI, protect models against bias and security vulnerabilities, and enforce regulatory compliance continuously and automatically across complex environments.
How does Holistic AI Platform detect shadow AI?
Holistic AI uses AI Discovery and Centralised Inventory to scan the enterprise ecosystem for undocumented AI systems. Industry research suggests 60% of enterprise AI is shadow AI, and the platform addresses this by providing complete visibility into all AI deployments across the organization.
What regulatory frameworks does Holistic AI Platform support?
Holistic AI supports the EU AI Act with fines up to €35 million per Article 99, NIST AI RMF, and ISO 42001. It monitors adherence to these global regulations and generates audit-ready evidence automatically, helping enterprises maintain compliance with evolving standards.
What are the key features of Holistic AI Platform?
Key features include risk assessment and mitigation, regulatory compliance tracking, shadow AI discovery, automated testing across 40+ risk dimensions, audit management, continuous monitoring, and enterprise tool integrations with Google Cloud, Jira, GitHub, and Microsoft Azure.
How much does Holistic AI Platform cost?
Holistic AI uses custom pricing based on business needs with no public tiers or per-model costs available. Organizations must request a personalized quote via demo. This can make budgeting opaque for smaller teams or those with fewer than 50 AI models.
What are the limitations of Holistic AI Platform?
Workflows are less customizable than some enterprises need for policy orchestration across business units. Pricing is custom only, and the platform was not evaluated in the Forrester Wave for AI Governance Solutions. ESG features are secondary to core governance, with less depth than dedicated tools.
Alternatives
How Holistic AI Platform compares
Direct head-to-head against 3 competitors. Picked by 7wData.
Holistic AI Platform
- Pricing
- Custom pricing based on business needs; no public tiers or per-model costs available. Request a personalized quote via demo.
- Target
- Holistic AI is an enterprise-grade AI governance platform designed to standardize compliance and manage algorithmic risk across complex environments.
- Strength
- Provides complete visibility into all AI systems across the enterprise, including undocumented shadow AI that accounts for 60% of deployments.
- Watch for
- Workflows are less customizable than some enterprises need for policy orchestration across diverse business units.
OneTrust AI Governance
- Pricing
- Custom/Contact sales; typically $50,000+/year for enterprise
- Target
- Enterprises needing integrated privacy, risk, and AI compliance
- Deployment
- Cloud, hybrid
- Strength
- Unified platform combining AI governance with existing privacy workflows
- Watch for
- Pricing can escalate with additional modules; complex initial setup
IBM watsonx.governance
- Pricing
- Custom/Contact sales; typically $100,000+/year
- Target
- Large enterprises with existing IBM ecosystem and strict regulatory needs
- Deployment
- Cloud, on-premises
- Strength
- Deep integration with IBM Cloud Pak for Data and AI lifecycle tools
- Watch for
- Requires IBM ecosystem; steep learning curve and high total cost
Credo AI
- Pricing
- Custom/Contact sales; starts around $30,000/year
- Target
- Mid-market to enterprises focused on AI risk management and compliance
- Deployment
- Cloud
- Strength
- Specialized in AI risk scoring and regulatory alignment (EU AI Act, NIST)
- Watch for
- Smaller vendor; limited integration with non-AI governance tools
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Sources
Reporting on this tool draws on these publicly available sources.