Flowity AI

Flowity AI uses a method called Executive Signal Synthesis to read signals across sources and across months, grouping them into sixteen business domains. Signals are verified and re-run to ensure consistency before presenting conclusions, and the decision lag between signal appearance and action is tracked.

Flowity AI offers two modes: a Read, which delivers a Reading within a set timeframe, and a Watch, which continuously reads and tracks decisions over time. A Reading is designed to be actionable, showing the records it comes from and how the conclusion was reached, with an analyst validating each claim.

Flowity AI provides a research-backed approach where a Reading links to source records, supports accountability, and keeps data handling explicit. The founder signs every Reading and maintains the standard of traceability and trust in AI-generated decision artifacts. The service emphasizes that data is not sold or used to train models.

Use cases

• Identify why a customer churns by correlating signals from calls, tickets and notes
• Detect missed expansion opportunities across sources