Why it matters: Gartner warns that 40% of automation projects stall because teams cannot quantify value or risk.[1] A lifecycle dashboard makes the automation pipeline visible and defensible.
TL;DR
- Log every automation with owner, hypothesis, and compliance status.
- Connect performance metrics to the agentic KPI scorecard.
- Surface risks in the compliance roadmap.
| Stage | Question | Chaos signal |
|---|---|---|
| Discovery | Should we automate? | Intake form + hypothesis score |
| Pilot | Is it accurate? | Experiment review + accuracy metric |
| Scale | Is value proven? | Time saved, sentiment, compliance tag |
What is an agentic lifecycle dashboard?
It’s a Chaos board that tracks every automation from intake to retirement with metrics, owners, and risk status. Execs can see pipeline health in one glance.
How do you build the dashboard in Chaos?
Create columns for discovery, pilot, scale, and retired. Attach experiment reviews, KPI snapshots, and compliance sign-offs. Automations move cards as statuses update.
How do you keep the dashboard trustworthy?
Schedule monthly reviews, reconcile metrics with finance, and ensure risks flow into the compliance roadmap. Gartner highlights governance as critical to avoid “shadow AI”.[1]
Key takeaways
- Track automation lifecycle end-to-end inside Chaos.
- Connect evidence to KPI and compliance dashboards.
- Run regular reviews so the pipeline stays honest.