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Yields review

#47 of 56 in AI Governance Software

Structured inventories, risk scoring, controls, and evidence suit regulated teams; pricing is contact-sales.

4.3/10Editor score
Yields4.3 Visit Yields

Reviewed by iTechGuides Editors · Editorial team · Updated Oct 2026

Yields is a cloud software platform for organizations that need oversight of AI systems and models, with a focus on regulated environments. It is designed for financial institutions, enterprises, public-sector organizations, and mid-market teams formalizing AI risk and compliance. The AI Governance product lets teams register and classify use cases, assess risks, map them to regulatory frameworks, document controls, and maintain evidence for audits. Yields also includes model risk management workflows covering model inventory, validation, monitoring, and lifecycle activities.

Yields uses a contact-sales pricing model, with prospects directed to request a demo. Its web and API platforms support browser-based governance work and programmatic access. Core workflows span structured risk assessment and scoring, compliance scoring against the EU AI Act and other regulatory frameworks, prioritized mitigation tasks, policy controls, and traceable reports with export. This breadth makes it suitable for teams that need a connected record of AI systems, risks, actions, and evidence rather than a standalone assessment form.

The listed posture includes ISO 27001, GDPR, and two-factor authentication. Centralized documentation and exportable reports can support audit and compliance reviews, while policy controls provide a place to manage governance workflows. Deployment is cloud-only, and support is provided through email. Organizations that require on-premises hosting or live support channels should evaluate alternatives. Yields is a strong fit for regulated teams seeking inventory, risk, framework mapping, and evidence management in one system; smaller groups with limited governance requirements may find its broader model-risk scope unnecessary.

Yields pros and cons

  • Where it wins
    • Centralizes AI use-case inventory, classification, and model registration.
    • Maps risks to the EU AI Act and other regulatory frameworks with scoring.
    • Produces prioritized mitigation tasks and exportable, traceable audit evidence.
  • Where it doesn't
    • Contact-sales pricing makes upfront cost comparison difficult.
    • Cloud-only deployment excludes on-premises hosting.
    • Email-only support may not suit teams needing live assistance.

Yields fact sheet, pricing and score →

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