Govern AI before it’s built.

Q: Does TerraTrue cover the EU AI Act?

Yes. Pre-built AI Act workflows are included, and assessments prefill from the launch's documents.

Q: Is this a separate module from Privacy?

No. One intake runs the AI assessment next to the privacy, vendor and security reviews. No second process to run.

Q: Does TerraTrue train models on our data?

Information about TerraTrue's data handling practices can be found on the Trust page.

Q: Which AI tools does it connect to?

TerraTrue integrates with MLflow, AWS SageMaker, Notion, Jira, Confluence, Google Docs, Gemini, Claude, ChatGPT, Copilot, and other tools. See all integrations on the Integrations page.

Q: Can low-risk AI features clear without a full review?

TerraTrue provides risk scorecard triage to help reviewers see data profile, governance, and innovation risk at a glance, allowing them to focus review efforts appropriately.

TerraTrue reviews a new model, AI feature or AI vendor when it’s proposed, in the same review that covers privacy, security and vendor risk.

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Get ahead of AI risk

Keep pace with AI launches

Review new features as fast as your teams propose them.

Catch risk while it’s cheap to fix

Shape AI systems before launch, not after.

Have the evidence ready

Show that every system was assessed before it went live.

One review, every domain

One intake runs the AI assessment next to the privacy, vendor and security reviews. No second process.

Design-Time AI Screening

A new model, an AI feature or an AI vendor is reviewed when it’s proposed — not when it’s discovered. The design doc or the purchase request opens the assessment, and the record starts from the first draft.

Unified AI Lifecycle Governance

Bridge the gap between engineering speed and data security for GenAI. We ingest metadata from AI infrastructure — including MLflow and AWS SageMaker — allowing you to govern and classify the data types used as inputs for models and ensure your AI training pipelines adhere to internal policy.

Regulatory Agility for the EU AI Act

Rapidly implement AI risk assessments with pre-built, expert-vetted workflows designed for emerging global standards. Screen AI and ML initiatives against model risk, bias and data leakage requirements to build trust at scale.

Model Risk & Bias Screening

Screen for model risk, bias and data leakage exposure inside the same review that covers the privacy and vendor questions, rather than as a separate exercise.

User interface graphic showing an AI Risk Review document labeled In Progress, with icons representing AI model proposals and features detected on the left linked by dashed lines to the document, and AI vendor detection icons on the right similarly linked, all on a gradient blue background.

Every AI launch gets reviewed

A review opens as soon as a new model, AI feature or AI vendor is proposed.

Interface showing AI Risk Review in progress, connected by a dotted arrow from icons of Notion, Google Docs, and Confluence, with text 'New AI Feature Detected'.

User interface screen showing a question: 'Will the AI system do any of the following?' with five listed items, each featuring selectable options with some choices outlined in purple and one item checked in purple.

Assessments arrive prefilled

EU AI Act and other assessments are drafted from the launch’s own documents, with AI suggestions for anything else.

Triage with the Risk Scorecard

See data profile, governance and innovation risk at a glance, so reviewers know where to focus.

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Jam City scaled privacy reviews 10x with an AI agent

Jam City’s VP of IT encoded years of privacy expertise into a custom Gemini agent powered by TerraTrue’s structured data, increasing review coverage and depth 10x while running a lean, multi-studio operation.

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