Holistic AI is a risk management and governance platform designed to help enterprises build, deploy, and monitor artificial intelligence systems responsibly. As AI adoption increases across industries, organizations face growing pressure to ensure their AI is trustworthy, compliant, and aligned with emerging regulations.
Holistic AI provides software and advisory services that help companies manage the entire lifecycle of AI systems—from development to deployment—by focusing on risk, bias, fairness, accountability, and regulatory compliance. The platform is built to help organizations meet global AI regulations, including the EU AI Act, UK AI white paper, and U.S. AI policy frameworks.
The company works with both public and private sector organizations, including Fortune 500 companies, to implement robust AI governance structures, ensuring their AI systems are auditable, explainable, and safe.
Features
Holistic AI offers an enterprise-grade platform that combines automated assessments, governance workflows, and compliance tracking to help manage the risks of AI systems.
The platform provides AI inventory management, allowing teams to identify, catalog, and monitor all AI and algorithmic systems across an organization. This creates a centralized view of how AI is used internally and externally.
It includes automated risk assessments that evaluate AI systems based on metrics such as fairness, transparency, privacy, and robustness. These assessments help teams understand where risks exist and how to mitigate them.
The platform offers continuous monitoring of models in production, helping organizations detect model drift, bias, or performance degradation over time.
Holistic AI supports policy enforcement and documentation workflows, allowing compliance teams to track regulatory requirements, generate audit trails, and manage approvals.
It integrates with existing development and data infrastructure, making it possible to embed governance and risk controls into existing ML pipelines.
The software also helps organizations prepare for regulatory audits by aligning internal processes with global frameworks like ISO 42001, NIST AI RMF, and the upcoming EU AI Act.
In addition to the platform, Holistic AI provides consulting services to guide organizations through responsible AI maturity assessments, strategy development, and policy implementation.
How It Works
Holistic AI is designed to fit into an organization’s AI lifecycle with minimal disruption.
First, organizations onboard their AI systems into the platform using automated discovery tools or manual registration. The system captures details about the model’s function, data inputs, stakeholders, and deployment context.
Next, the platform performs an automated risk classification to determine the regulatory exposure of each model, based on its use case and impact. This helps teams prioritize high-risk systems for deeper governance.
Risk assessments can be scheduled or triggered based on development stages, allowing teams to assess bias, robustness, explainability, and other ethical and technical criteria.
The results are visualized in dashboards that show where risks exist, what mitigation steps are needed, and how the system aligns with internal and external guidelines.
Compliance managers can use built-in workflows to track documentation, coordinate reviews, and generate audit-ready reports for internal and external stakeholders.
Ongoing monitoring ensures that deployed models remain compliant and effective, with alerts for potential risks like data drift or fairness degradation.
Use Cases
Holistic AI serves a variety of enterprise and regulatory use cases.
Financial institutions use the platform to assess algorithmic fairness and transparency in lending, credit scoring, and fraud detection models.
Healthcare providers and medtech companies leverage Holistic AI to ensure patient-facing AI systems are accurate, non-discriminatory, and compliant with medical regulations.
Public sector agencies rely on the platform to document and audit the use of automated decision systems, improving accountability and public trust.
HR departments and recruitment platforms use Holistic AI to evaluate hiring algorithms for bias, explainability, and compliance with employment laws.
Retail and e-commerce platforms apply the software to manage personalization and recommendation engines, ensuring they are not unintentionally discriminatory.
Technology companies integrate the platform into their ML development cycles to proactively identify governance gaps and meet customer or regulatory expectations.
Pricing
Holistic AI does not publish public pricing on its website. Pricing is customized based on organizational size, number of models, deployment needs, and the scope of required features.
Interested businesses are encouraged to request a consultation or demo through the Holistic AI website. Enterprise licensing, dedicated support, and advisory packages are available for organizations requiring large-scale governance solutions.
Strengths
Holistic AI is purpose-built for AI risk management and compliance, making it highly specialized for today’s rapidly evolving regulatory environment.
Its platform approach—combining discovery, assessment, monitoring, and documentation—gives organizations a comprehensive governance solution in one place.
The ability to integrate into existing ML workflows and data systems ensures that governance can be embedded into the model lifecycle without requiring a full overhaul of infrastructure.
Its expertise in legal and ethical AI practices, backed by a multidisciplinary team of technologists, ethicists, and legal experts, provides strong advisory support alongside the platform.
The company is trusted by leading global organizations, including Fortune 500 companies and public institutions, demonstrating strong credibility in the field of AI governance.
Drawbacks
As a platform primarily aimed at medium to large enterprises, Holistic AI may not be suitable for startups or small teams with limited AI infrastructure or budget.
The platform’s full potential is realized when adopted across an organization, which may require internal change management and collaboration between technical, legal, and compliance teams.
Because pricing and feature sets are tailored to each client, it can be difficult for prospective users to estimate cost or value without a direct consultation.
For organizations new to AI governance, the platform may require training or onboarding to fully understand and utilize its capabilities.
Comparison with Other Tools
Compared to general-purpose MLOps platforms like MLflow or Weights & Biases, Holistic AI is focused specifically on governance and risk—not model training, experimentation, or deployment.
Against other responsible AI platforms such as Credo AI or Arthur, Holistic AI differentiates itself by combining regulatory alignment, enterprise-grade documentation workflows, and real-time monitoring in a single solution.
While some fairness tools like IBM AI Fairness 360 focus on bias detection and mitigation, Holistic AI adds organizational governance layers including compliance tracking, audits, and inventory management.
The platform is best suited for companies operating in highly regulated environments, where legal compliance, transparency, and accountability are critical to maintaining trust and avoiding regulatory penalties.
Customer Reviews and Testimonials
Holistic AI is recognized as a trusted provider of responsible AI services by clients across sectors. Public feedback and case studies highlight the platform’s ability to streamline compliance, reduce regulatory risk, and instill best practices in AI teams.
Organizations working with Holistic AI report improved clarity in model documentation, stronger cross-functional collaboration, and higher confidence in meeting external audit requirements.
Industry publications and partners have noted the company’s thought leadership in shaping AI regulations and contributing to responsible AI frameworks globally.
Testimonials emphasize not just the platform’s functionality, but also the value of Holistic AI’s advisory services in helping enterprises mature their AI governance programs.
Conclusion
Holistic AI is a leading enterprise platform for managing the risks, ethics, and regulatory responsibilities of artificial intelligence systems. As AI becomes more integral to business operations and public services, the need for robust governance tools has never been greater.
By offering a comprehensive suite of software and services, Holistic AI enables organizations to build and deploy AI systems that are not only effective, but also compliant, fair, and trustworthy. For any enterprise navigating the complexity of AI regulation and ethical risk, Holistic AI provides a secure and forward-thinking foundation.
