Trust center
AI and data practices for sensitive deal work
A practical view of how Solenor is designed to help transaction teams use AI while preserving evidence, access boundaries, and professional control.
Keep every answer connected to evidence
M&A analysis is only useful when a team can inspect the information behind it. Solenor is designed to connect generated answers and report sections back to the underlying documents, so reviewers can navigate to the source and challenge the output.
This source-grounded approach supports review; it does not replace professional judgment. Teams remain responsible for validating material conclusions against the dataroom and the scope of their engagement.
- Source-linked answers
- Document-level verification
- Review before external use
- Controlled refinement of outputs
Separate customer workspaces
Solenor is designed around private customer environments and separation between organizations. Documents, transcripts, and generated outputs from one organization are not intended to be mixed with another organization's workspace.
Deployment and access requirements vary between organizations. Solenor can discuss the intended environment and internal controls with security and IT stakeholders before a pilot begins.
Ask the right questions before a pilot
AI architecture, model providers, retention, deletion, access, and deployment requirements should be reviewed against the specific pilot configuration. These details are not represented here as universal promises.
Contact Solenor to document the proposed workflow, information classes, users, and technical boundaries for your organization.
- Which information will be in scope?
- Who needs access?
- Where will the environment run?
- How will outputs be reviewed?
Technical review
Discuss your data and deployment requirements
Map the intended workflow, information boundaries, and review process with the Solenor team before starting a pilot.