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Insights, guides, and latest trends from the world of AI tools

Latest Blogs

  • Bias Testing Documentation Requirements for Deployed AI Tools

    Bias Testing Documentation Requirements for Deployed AI Tools

    Document bias tests even when vendors provide few tools. Minimum evidence for fairness reviews.

  • Records Retention Policy for AI-Generated Outputs

    Records Retention Policy for AI-Generated Outputs

    Retention schedules must cover prompts, outputs, and logs—not just final deliverables.

  • Documenting Human Oversight for AI-Assisted Decisions

    Documenting Human Oversight for AI-Assisted Decisions

    Auditors expect evidence of meaningful human oversight—not rubber stamps.

  • Model Change Management Policy for Third-Party AI Tools

    Model Change Management Policy for Third-Party AI Tools

    Vendor model swaps are changes to production systems. Policy for notice, eval, and rollback.

  • Integrating AI Tools With Microsoft 365 Beyond Copilot

    Integrating AI Tools With Microsoft 365 Beyond Copilot

    Third-party AI alongside M365 needs Graph permissions and Purview policy alignment.

  • Classifying High-Risk AI Use Cases Under Emerging Rules

    Classifying High-Risk AI Use Cases Under Emerging Rules

    Map internal use cases to high-risk categories without waiting for final enforcement dates.

  • Integrating AI Tools With Slack: Permissions and Workflow Patterns

    Integrating AI Tools With Slack: Permissions and Workflow Patterns

    Slack bots and workflows need scoped OAuth and data policies. Integration architecture for teams.

  • Integrating AI Tools With Google Workspace

    Integrating AI Tools With Google Workspace

    Drive, Docs, and Gmail integrations require DLP alignment and domain-wide delegation care.

  • AI Workflow for Clinical Research Coordinators: Screening Logs

    AI Workflow for Clinical Research Coordinators: Screening Logs

    CRCs draft screening logs with AI, protocol deviations always human-reported.

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