AI Assurance Tools


- Protecting Reputations, Accelerating Safer Suppliers -

As a user and buyer of AI systems, you bear the risk that your supplier's AI may not comply with laws, regulations, standards, and safe practices. CarefulAI surfaces these risks and enables your suppliers to better manage them for you when they use GenAI.

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PRIDAR Case Study:

- Visibility of AI Related Risks in the IT Supply Chain-

Example of Product Level Analysis

Example of Supplier Level Analysis

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Supply-Chain Case Study:
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​- IT Supplier GenAI Risk Mitigation Tools-

The tools below are standalone, low cost, low foot print methods.  Each one of them can be embodied into supplier's existing systems. Common systems used by suppliers being:

​ ​Jira/Atlassian, Linear, Plane, Azure DevOps/Microsoft, Monday.com, GitHub/Microsoft, GitLab, Bitbucket/Atlassian, CircleCI, Datadog, New Relic, Grafana/Grafana Labs, PagerDuty, Sentry/Functional Software, Slack/Salesforce, Confluence/Atlassian, Notion/Notion Labs, Docker, Terraform/HashiCorp, Figma, FigJam/Figma, Miro

Auditable History of Developer-GenAI Code Commitments on Git /  Memory-Arc (Marc)

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GenAI - Human in the Loop Risk Management

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Continuous GenAI ML Monitoring

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Adam - The ISO 42001 Audit Preparation Tools

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Eve- The ISO 42001 AI Management System

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Case study: InsightScholar
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- Compliance-native Information Extraction with GenAI -

Insurance Sector Example

Health Sector Example