Every approval, rejection, and modification teaches your agents. Pattern detection captures organizational knowledge. Maturity scoring tracks agent growth from Novice to Expert.
5 levels from Novice (1) to Expert (5). Score based on approval rate, quality, speed, and learning velocity.
Every human approval, rejection, or modification is captured as a learning signal for the agent.
Automatically detect recurring patterns from feedback cycles. Turn rejections into organizational knowledge.
Track improvement over time with detailed analytics on quality, speed, and approval rates.
An agent proposes an action based on its current knowledge.
The human approves, rejects, or modifies the proposed action.
The feedback is captured and analyzed for patterns.
Future actions incorporate learned patterns and best practices.
Connect and manage AI agents with learning loop built in.