01
Scan
Understand the business, find operational bottlenecks and identify the workflows where automation and AI can create measurable improvement.
- Map manual work, handoffs, delays and system friction.
- Identify the automation opportunities with the clearest operational value.
- Surface security, data, governance and ownership constraints early.
02
Architect
Design the workflow, integrations, controls and rollout plan before implementation starts.
- Define workflow logic, system boundaries and integration points.
- Specify automation layers, AI steps, approvals and fallback paths.
- Set the technical and operational design required for production.
03
Formalize
Implement in a controlled and measurable way with ownership, monitoring, documentation and governance.
- Build the workflow and put operating controls around it.
- Instrument the system for monitoring, logs and KPI review.
- Document ownership, runbooks and escalation procedures.
04
Expand
Extend the model across more workflows, teams and departments once the first system is working and measurable.
- Apply proven patterns to adjacent internal processes.
- Reuse the operating model, controls and measurement approach.
- Broaden coverage only after results and ownership are clear.