diff --git a/README.md b/README.md
index 66f59be..2c3be54 100644
--- a/README.md
+++ b/README.md
@@ -489,14 +489,16 @@ The **SimpleMetrics** workflow calculates regression metrics (RMSE, MSE, MAE, R
 1. **Data Loading**: Loads prediction vs target data via a JOIN query
 2. **Metrics Calculation**: Calculates configured regression metrics; alerts on `simple_metrics_thresholds` breaches (one alert per model, the message names the window) unless the window has fewer rows than `simple_metrics_min_samples`
 3. **Data Export**: Exports metrics to PostgreSQL
+4. **Adaptive State** (only with thresholds): when the schedule's `pipelines` doc has `frequency_alert`, escalates `adaptive_state` on a breach and recovers after the window is renewed without one (`min(12, ceil(interval_minutes / frequency_alert))` runs; empty or under-sampled windows count as healthy). The orchestrator runs the schedule at `frequency_alert` while escalated
 
 #### Architecture Diagram
 ```mermaid
 flowchart LR
-    A[1. load_custom_query] --> B[2. calculate_simple_metrics] --> C[3. export_data_to_postgres]
+    A[1. load_custom_query] --> B[2. calculate_simple_metrics] --> C[3. export_data_to_postgres] --> D[4. update_simple_metrics_adaptive_state]
     
     A -.-> Database[(Database)]
     C -.-> PostgreSQL[(PostgreSQL)]
+    D -.-> MongoDB[(MongoDB pipelines)]
 ```
 
 #### Input Parameters