Evidence-linked suggestions
Signals and recommendations point back to the underlying deal context, not appear out of nowhere.
AI Trust
No silent writeback. No black-box scoring.
PROOF is designed so AI supports the workflow without hiding the reasoning. The system should make inspection more transparent, not less.
Human review loop
People stay in control of writeback, overrides, and decisions that carry real commercial risk.
No silent CRM updates
PROOF never changes the source of record invisibly or without an audit trail.
Trust mechanisms
Designed for operational clarity.
- Evidence-linked outputs instead of unexplained scores
- Visible override history for managers and leaders
- Audit trail for writeback and operational changes
- Human confirmation before sensitive updates
- Configurable standards instead of one generic model
AI should reduce reconstruction, not replace judgment.
That is the point of PROOF: make deal reviews faster and more defensible while keeping humans in control of the parts that matter.
Evidence source privacy
What PROOF reads — and what it does not.
PROOF connects to CRM, email, and calendar systems to collect evidence signals. Here is exactly what it accesses and what it ignores.
CRM
Deal fields, stage history, contacts, and activity records.
Metadata only — sender, recipient, timestamps, and response frequency. PROOF never reads email content or attachments.
Calendar
Meeting titles, participant lists, and scheduling patterns. Not meeting notes or recordings.
Voice-to-CRM
Rep-dictated updates mapped to deal fields. Audio is processed and discarded.
Slack & Teams
Outbound notifications only. PROOF does not read channel messages or DMs.