- LAYER 04 - OPTIMIZATION
AI performance that compounds over time
Deploying AI is not the finish line. Processes continue to evolve – and AI must evolve with them. Without a feedback loop between process performance data and AI model inputs, organizations have no mechanism to improve. iGrafx closes that loop.
- THE CONTINUOUS LOOP
- AI acts on process context
- Execution data captured in real time
- Expected vs. actual outcomes compared
- Process models updated with new insights
- AI retrains. Loop repeats.
- HOW iGRAFX HELPS OPTIMIZE
Turn every AI deployment into a learning loop
01
Continuous Process Performance Measurement
iGrafx captures cycle times, rework rates, and exception frequency at every step – giving operations teams a live baseline against which AI impact is measured.
02
Process Variant Analysis & Redesign
When performance degrades, iGrafx identifies which process variants are underperforming and models corrected designs in Process360 Live for continuous AI process optimization.
03
Closed-Loop AI Retraining Signal
Process execution data flows back to AI model evaluation pipelines – so agents are retrained against how the process actually runs today, not how it ran at launch.
Stop Stalling. Start Optimizing.
See how iGrafx builds the feedback loop that keeps AI performance compounding.