Nobody decides to lose this revenue. It leaks in the ordinary gaps of a working week — the enquiry that arrived while the team was in a meeting, the follow-up that was someone's third priority, the quote that needed one more nudge nobody made.
Every one of these depends on a person remembering, at the right moment, while doing something else. That is not a discipline problem. It is a design problem.
Most systems record what did happen. Revenue Recovery watches for the absence — the reply that never came, the quote with no movement, the invoice past its date.
Recoverable revenue has a shelf life. The module follows up, routes and escalates while the opportunity is still open — not when someone next reviews a list.
Every action is written back to one operating record, so the next decision is made on what actually happened rather than on what someone remembers.
An operating system you adopt all at once is a transformation project, and transformation projects are how quarters get lost. Catalyst opens one module at a time.
Revenue Recovery goes first because it operates the leak that is easiest to see, quickest to measure, and hardest to argue with — and because it needs the smallest change to how your team already works.
Revenue Recovery is the first operating module of Catalyst, Aimavrik's AI Business Operating System. It draws on the same business memory as every other module, which is why it can act on context a standalone tool would never see — and why the next module you open starts already knowing your operation.
A scoped conversation about where revenue is escaping today, and whether Revenue Recovery is the right place to start. No obligation.