AI & Automation Rollout
Use C2O to roll out automation safely: keep reliability and governance in view while testing and scaling new capabilities.
Use case – Product / Transformation Lead
Outcome
Automation improves efficiency and throughput while reliability, on-call health, and decision quality stay within agreed guardrails.
Step 1 of the 3-step plan is to clarify the outcome using the Outcome Definition Worksheet for this scenario, then use the templates and playbooks below to run it.
Signals that matter
Each signal is backed by the metrics dictionary and the internal platform enablement case study.
Toil hours
Reduction in toil hours
Change fail rate (CFR)
Change fail rate stable or improving
Latency p95 (critical journeys)
Total blocking time within guardrails
Run this now
Move from reading to action with a small starter stack: one outcome worksheet, one contribution map, and two lifecycle playbooks.
Outcome Definition Worksheet (Automation)
Frame automation outcomes in terms of efficiency, reliability, and decision quality.
Contribution Mapping Canvas (Automation)
Clarify who Drives, Contributes, Enables, Advises, and Informs across automation phases.
Discover: Automation Opportunities
Identify candidate workflows for automation and define thresholds and guardrails.
Decide: Automation Governance
Use decision ladders and metrics to decide where and how to roll out automation.
Decision rights
Decision Rights for Automation
Clarify who Drives automation decisions, how to escalate, and which metrics gate rollout and rollback.
View Decision Rights hubCase proof
Before/after metrics and decision records from an internal platform enablement initiative.
Automation Rollout with Guardrails
An organization used C2O to roll out automation while protecting reliability and decision quality.
| Metric | Before | After |
|---|---|---|
| Toil hours | High manual effort in critical workflows | Evidence |
| Change fail rate (CFR) | Concerns about failed automation changes | Evidence |