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Responsible AI principles

Human-centred AI principles for Uniiq Operations

Last updated 2 June 2026


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◎

Our commitment

Uniiq Operations uses AI to reduce administrative friction in workforce and project operations.

We commit to deploying AI features responsibly: with human oversight, clear limitations, and respect for privacy and safety. This document supplements our AI usage policy.

👤

Human oversight

  • AI suggestions are assistive — not authoritative instructions for field work, safety, or compliance.
  • Organisation administrators control which roles may access AI features and usage limits.
  • Users must review outputs before roster changes, dispatch decisions, or customer-facing communications.
◇

Transparency

  • We label AI-assisted surfaces in the product where practical.
  • Usage metering and billing impacts are visible in the billing area.
  • We document known limitations in product help and legal policies.
⚖

Fairness and bias

Operational data quality and historical bias in rosters or assignments can influence AI outputs.

We encourage diverse review of scheduling and assignment suggestions and welcome feedback on unfair or discriminatory patterns via Contact.

🔐

Privacy and data minimisation

We send only the context required for each feature to configured model providers. We contractually restrict unrelated training use where available.

See Privacy notice.

For subprocessor details in enterprise agreements, contact us via Contact.

△

Safety

Do not use AI features for emergency response, life-safety decisions, or unlawful activity.

Report harmful or unsafe outputs immediately. We may throttle or disable features that pose material risk.

↻

Governance

We review new AI capabilities for security, privacy, and operational impact before general availability.

Material policy changes are reflected in document version updates on this Trust Centre.

Questions? Contact us

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