TeamDynamix

Documents on the trust centre

What the vendor lists, typed; public items can be read now, the rest are available on request.

What the vendor says

Answers the vendor publishes to questions buyers ask, quoted with the link to where it says so.

• Where data is hosted or processed

  Where is our AI interaction data stored, and how is it protected?

  “Operational and transactional data, including application-level logs of AI feature interactions, is held in TeamDynamix's platform operational database within Microsoft Azure. It is access-restricted and subject to TeamDynamix's standard data retention policies, the same as other platform data.”

  as of 21 Sep 2026Source

• Encryption

  How does TeamDynamix protect the transport and storage of user prompts to the AI system (e.g. access control, encryption, minimize retention)?

  “At TeamDynamix, we ensure the transport and storage of user prompts to our AI system are secure through robust measures. Prompts are encrypted in transit with TLS during transport to prevent unauthorized access, and at rest, they’re protected with AES-256 encryption. We enforce strict access controls, using role-based permissions and multi-factor authentication, so only authorized systems or personnel can handle t...”

  as of 21 Sep 2026Source

• Use of customer data to train models

  Does Microsoft store, log, or use our prompts to train its models?

  “No. Under our enterprise agreement, Microsoft does not retain, log, or use that data to train models.”

  as of 21 Sep 2026Source

• Use of customer data to train models

  Are detailed instructions available about the AI/ML methodology (e.g., model training details such as data used and training method, model design, model weights, key assumptions and limitations, results from bias tests, model validation methodology, evaluation of model drift etc.)?

  “TeamDynamix leverages Microsoft’s Azure OpenAI Service for its AI solutions. As such, detailed instructions regarding the AI/ML methodology—such as model training details (e.g., data used, training methods), model design, model weights, key assumptions and limitations, bias test results, model validation methodology, and evaluation of model drift—are primarily governed by Microsoft’s Azure OpenAI framework. Micros...”

  as of 21 Sep 2026Source