Agentic Lifecycle Dashboard for Chaos Automation
Category: Academy · Stage: Optimisation
By Max Beech, Head of Content
Updated 21 August 2025 · Expert review: [PLACEHOLDER: Automation Lead]
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.
- What is an agentic lifecycle dashboard?
- How do you build the dashboard in Chaos?
- How do you keep the dashboard trustworthy?
TL;DR
- Log every automation with owner, hypothesis, and compliance status.
- Connect performance metrics to the [agentic KPI scorecard](/blog/agentic-kpi-scorecard).
- Surface risks in the [compliance roadmap](/blog/ai-compliance-readiness-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
Stages keep automation lifecycle transparent.
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.
Next steps
- Inventory current automations and log them in Chaos.
- Define stage criteria and owners.
- Review the dashboard monthly with product, ops, and compliance.
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