AI TOOL PROFILE
Yields Review: AI Governance and Model Risk Management Software
- Software Development
- AI Governance
- Financial institutions
- Regulated healthcare organizations
- Insurance companies
- Enterprise companies in regulated sectors
Pricing
Pricing was not clearly available from the provided evidence. Buyers should confirm current pricing on the vendor website.
At a glance
- Best for
- Financial institutions, Regulated healthcare organizations, Insurance companies, Enterprise companies in regulated sectors
- Key use cases
- EU AI Act Readiness, Financial Model Oversight, Healthcare AI Governance, Risk Assessment Workflows
- Official website
- Visit yields io official website
How AI is used
Yields is a platform designed for AI governance and model risk management (MRM). It provides a centralized space to track traditional predictive models and AI systems throughout their lifecycle, from development to retirement.
The software is designed for organizations operating in regulated environments, such as financial services, insurance, and healthcare. It helps these teams maintain a model inventory and supports the documentation of risk assessments and validations to assist with regulatory audits.
Beyond tracking, the platform provides tools for monitoring model performance and supports the generation of validation reports. It includes features to help organizations align with the EU AI Act and other data protection standards.
Buyers should confirm how the platform's configurability fits their specific internal governance policies and whether the reporting meets the requirements of their regional regulators.
Key Features
Model Inventory
A centralized catalog used to register, classify, and manage AI systems and traditional models.
Model Validation
Supports the creation of validation reports and consistent reviews for regulatory purposes.
AI Compliance
Provides documentation structures designed to support alignment with the EU AI Act.
Model Monitoring
Tracks model performance over time to help detect risks as data or behaviors change.
Model Documentation
Standardizes development and monitoring reports using an automated generator.
Automated Evidence Collection
Centralizes structured records and traceable evidence to support audit readiness.
Use Cases
EU AI Act Readiness
Classifying AI use cases and maintaining traceable governance decisions for regulatory compliance.
Financial Model Oversight
Centralizing the inventory and validation of credit loan or market risk models in banking.
Healthcare AI Governance
Supporting the validation and oversight of AI used for clinical decision support and patient risk prediction.
Risk Assessment Workflows
Building structured workflows for policy alignment and risk assessments across different model complexities.
FAQ
What does Yields software do?
- Yields provides a platform to inventory, document, monitor, and validate traditional predictive models and AI systems to manage operational and regulatory risk.
Which industries is Yields designed for?
- It is designed for regulated industries, including banking, insurance, healthcare, human resources, and energy.
Does Yields help with the EU AI Act?
- Yes, the platform includes features to help organizations structure risk classifications and maintain documentation required by the EU AI Act.
Source category: Software Development
Source subcategory: AI Governance
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