Enterprise Security & Data Handling
TenderMind is designed to support document-heavy AI workflows while minimizing unnecessary data exposure.
Security and data handling depend on the delivery model: authenticated Platform Workflows or Embedded Agents running inside approved enterprise AI environments.
Security at a glance
A practical summary for legal, IT, procurement, and compliance teams.
- Ephemeral processing by designPlatform Workflows are designed to process files during the workflow and remove processed content after delivery.
- Minimal operational metadataTenderMind may retain only minimal operational metadata needed for observability, traceability, and support.
- Approved AI environmentsEmbedded Agents run inside the customer's approved AI workspace and follow that provider setup.
- Human review by designTenderMind generates structured outputs for review. Final decisions remain with the responsible team.
Data handling by delivery model
- Authenticated platform
Platform Workflows
- Files are uploaded into a defined workflow.
- Processing is designed to be RAM-based and ephemeral where applicable.
- The user receives the output after completion.
- Processed content is deleted after delivery.
- Minimal operational metadata may be retained.
- Customer AI workspace
Embedded Agents
- The agent runs inside tools already approved by the organization.
- Data handling follows the customer's agreement with that AI provider.
- Existing enterprise controls, access policies, and governance apply.
- TenderMind provides the agent structure, instructions, and workflow logic.
Platform Workflow data lifecycle
Upload files
User uploads the required files into the selected workflow.
Process during workflow
Files are processed for the requested task.
Generate output
TenderMind creates the requested report, matrix, brief, or structured result.
Deliver result
The final output is returned to the user or approved workspace.
Delete content
Processed content is removed after delivery.
Keep minimal metadata
Only minimal operational metadata may be retained.
What is retained
Minimal operational metadata
- Filename logs.
- Workflow execution metadata.
- Basic operational information needed for observability and traceability.
Processed content after delivery
- Full document content is not retained by default after processing.
- Processed files are not retained by default after delivery.
- Extracted document content is not retained as a persistent knowledge base by default.
AI provider and deployment-specific review
When Platform Workflows use third-party AI infrastructure, TenderMind works with commercial AI providers under terms designed to prevent customer data from being used for model training. Provider-specific retention and processing terms may vary by deployment and can be reviewed as part of a security summary.
Embedded Agents security model
Embedded Agents are designed for organizations that already use approved AI tools such as enterprise copilots or managed AI workspaces. In this model, the customer's AI provider agreement, access controls, retention settings, and internal policies remain central to the data handling model.
TenderMind provides the agent structure, instructions, output logic, review rules, and workflow design. The exact data handling model depends on where the agent is deployed and how the customer's AI environment is configured.
Security review support
Need a deployment-specific security summary? For legal, IT, procurement, or compliance review, TenderMind can provide a security summary explaining the selected workflow type, data path, processing model, retention approach, AI provider setup, and review responsibilities.
Security FAQ
Review TenderMind's security model for your deployment.
Request a deployment-specific security summary for the workflow or agent model your organization is considering.