AI that earns your trust, every decision.
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.
Our Responsible AI Principles
Four commitments that govern how we design, deploy, and monitor AI across the Teamble platform.
01. Humans decide. AI assists
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.
02. Minimal data, maximum care
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.
03. Transparent by design
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.
04. Accountable ownership
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.
Intended Uses and Boundaries
We designed every AI feature knowing it operates in a sensitive context. These are the lines we draw.
What we use AI for
- Summarizing peer feedback into themes for reviewers
- Suggesting language to improve feedback quality and specificity
- Identifying engagement patterns across teams for managers
- Drafting review templates and structured question sets
- Highlighting potential bias in written feedback language
- Generating OKR progress summaries from check-in notes
What we DO NOT do
- Generate performance ratings or scores autonomously
- Make or recommend termination or promotion decisions
- Process health, biometric, or financial employee data
- Share individual performance data across organizations
- Use customer data to train or fine-tune AI models
- Remove human judgment from any consequential decision
AI Providers and Agreements
Key Providers
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.
Governance
Clear lines of responsibility for AI deployment, risk management, and ongoing compliance.
- AI Accountability Owner: Erbil Yaman, CEO
- Review Cadence: Annual AI system review
- Security Certification: SOC 2 Type II compliant
- Privacy Contact: privacy@teamble.com
- Policy Last Updated: April 2026
- Data Processing Region: United States
Questions about our AI practices?
Our team is happy to discuss how Teamble handles AI, data privacy, and responsible use.