Human-Centered Use
DealBooster is designed to support coaching, training, and readiness assessment.
The platform does not make business decisions, employment decisions, compensation decisions, or customer-facing decisions on behalf of users.
All outputs are advisory and remain subject to human review and judgment.
Privacy, Security, and Data Control
Customer data remains under customer control.
DealBooster supports:
- Tenant isolation
- Role-based access control
- Encrypted communications
- Cloud deployment
- Private cloud deployment
- On-premises deployment
Customer data is not shared across customers
Customer Data Is Not Used To Train Shared Models
DealBooster does not use customer prompts, conversations, uploaded materials, reports, or outputs to train shared foundation models.
Customer data remains isolated within the customer’s environment and deployment.
Transparency and Explainability
Training evaluations and feedback are linked to:
- Training scenarios
- Session transcripts
- Evaluation criteria
- Scoring workflows
This helps users and administrators understand how outcomes were generated.
Fairness and Responsible Evaluation
DealBooster promotes fairness through:
- Structured scenarios
- Defined competency frameworks
- Reviewable scoring rubrics
- Transcript-based evidence
- Governance controls
Customers may implement additional review and validation procedures as needed.
Human Oversight
Training outcomes can be reviewed, challenged, and discussed.
Users may provide feedback on completed sessions, which can be used to improve prompts, evaluation workflows, and customer-specific configurations.
Safe and Controlled Deployment
Deployment controls may include:
- Role-based permissions
- Scenario controls
- Content controls
- Administrative oversight
- Customer-specific policies
Additional safeguards can be implemented based on customer requirements.
Responsible Supplier Use
DealBooster may support deployments using customer-approved third-party AI models.
We expect our technology suppliers to maintain appropriate security, privacy, and responsible AI practices.