Why this framework works
Most AI programs fail because they begin with tools, not operational priorities.
A 30-60-90 model keeps teams focused on outcomes, governance, and adoption.
Day 1 to 30: Prioritize and baseline
- Select 2-3 high-volume workflows
- Define baseline metrics
- Identify compliance and risk checkpoints
- Align process owners and executive sponsors
Day 31 to 60: Pilot and validate
- Deploy automation for selected workflows
- Integrate live KPI dashboards
- Validate quality and SLA impact
- Capture stakeholder feedback
Day 61 to 90: Scale and standardize
- Expand to adjacent workflows
- Introduce cross-team governance
- Document runbooks and audit trails
- Plan regional rollout
KPI set for COO reporting
- Time saved per workflow
- Error or rework reduction
- SLA compliance improvement
- Cost per process reduction
Final takeaway
Transformation succeeds when execution discipline matches technology ambition.