Contesto:
⚙ Approval Flow · CHG (Change)
🏢 NHIT
📅 Window 90gg · 1.247 instances
Modello:
👤
Il nostro approval flow per i Change sembra lentissimo. Ho 28 CAB in coda da settimane. Cosa puoi fare per ottimizzarlo?
⚙
Ho analizzato 1.247 istanze CHG-* degli ultimi 90 giorni con process mining sull'event log. Stato attuale:
Lead time
8.4g
+47% vs target
Cycle time attivo
2.1g
on target
Waiting %
75%
+22pt
Re-open rate
12%
+4pt
🚦 I 3 bottleneck principali (Pareto 80%):
| Step | Wait avg | P95 | Re-loop | Impatto |
|---|---|---|---|---|
| Awaiting CAB review | 3.8g | 11g | 22% | HIGH |
| Awaiting business approver | 1.9g | 6g | 8% | MED |
| Awaiting technical reviewer | 0.9g | 3g | 14% | MED |
🧬 Suggested DAG diff (Suggest, not Apply):
approval_flow: change_normal
steps:
- id: tech_review
type: human_review
role: tech_reviewer
+ timeout_hours: 16 # auto-escalate dopo 16h
+ fast_path: # bypass se low-risk
+ when: risk_score < 3
+ action: auto_approve
- id: cab_review
type: board_review
- trigger: scheduled_thursday # solo 1×/week
+ trigger: rolling_24h # finestra mobile, 5 ETB/sett
+ min_quorum: 3
- id: business_approver
- role: cfo # collo di bottiglia singolo
+ role: any_of(cfo, finance_director)
+ delegate_when_oof: true
📈 Saving estimate (simulation 90gg)
• Lead time: 8.4g → 3.1g (-63%)
• Backlog CAB: 28 → ~6 a regime
• Re-open rate: 12% → 7% (stima via training su 1.247 storici)
• Confidence interval simulazione: 78%
⚠ Suggest-only. Apply richiede review umana + audit log. Sentinel Safety gate su modifiche workflow.