RESPONSIBLE AI
Teamble uses AI to help teams give better feedback and run stronger performance cycles.
Because our AI touches decisions that affect people's careers, we hold it to a higher standard.
Four commitments that govern how we design, deploy, and monitor AI across the Teamble platform.
No promotion, review, or performance outcome is ever determined by AI alone. Teamble's AI surfaces patterns and drafts summaries. Managers and employees make every final call.
We collect only the data needed to deliver the service. Employee performance data is never used to train AI models, sold to third parties, or processed for any purpose outside your organization's workflows.
When AI generates content in Teamble, it is clearly labeled. Employees always know when they are reading an AI-generated summary versus a human-authored one. No hidden automation.
A named responsible party at Teamble owns AI risk, bias monitoring, and incident response. We conduct annual reviews of AI system outputs and update this policy when our practices change.
"Performance decisions require human judgment. Full stop."
AI in Teamble operates in a sensitive use context: its outputs can influence someone's career trajectory. We designed every AI feature with this weight in mind. AI surfaces information. People interpret it. That line does not move.
We designed every AI feature knowing it operates in a sensitive context. These are the lines we draw.
Teamble works with the following AI providers under signed data processing agreements covering data handling, confidentiality, IP rights, liability, and incident response.
OpenAI
Feedback summarization, insights, and AI writing assistance
Signed DPA in place.
Amazon Web Services (AWS)
Cloud infrastructure, data storage, and hosting — US facilities.
Signed DPA in place.
Clear lines of responsibility for AI deployment, risk management, and ongoing compliance.
Our team is happy to discuss how Teamble handles AI, data privacy, and responsible use.
privacy@teamble.com