Responsible business AI

AI governance that lets your team move faster without losing control.

Hatty AI helps organizations define practical rules for AI use, data handling, approvals, vendor risk, logging, and automation so adoption can scale with accountability.

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Core controls for practical AI governance

Inventory approved AI tools, models, agents, vendors, and business use cases.

Define which data types may or may not be entered into AI systems.

Set human-review and approval requirements based on business and regulatory risk.

Document ownership, escalation, exception handling, and change management.

Log material AI actions and preserve the records needed for troubleshooting and governance.

Review vendor terms, access patterns, integrations, retention, and security responsibilities.

Govern the use case, not just the tool

The same AI platform can be low risk in one workflow and high risk in another. Drafting an internal meeting summary is different from sending a customer a binding commitment, changing a production system, or using sensitive data. We define controls based on the action, data, impact, and required human judgment.

Create clear data boundaries

Employees need simple guidance on what information can be shared with approved AI tools. We help define classifications, prohibited data, approved knowledge sources, retention expectations, access controls, and review requirements so staff can use AI productively without guessing.

Design human approval where it matters

Production agents should have explicit authority boundaries. Low-risk actions can be automated; higher-impact actions can require approval, second-person review, or escalation. This makes automation more dependable and gives leadership a clear control model.

Connect governance to the systems you actually use

Hatty AI can help implement governance inside AI assistants, custom agents, CRM automations, document workflows, portals, and business systems—not just write a policy document that sits on a shelf.