1. Define the operating outcome
“Implement Odoo” is a technology activity, not a business outcome. Start by describing what should become easier to decide, execute or control. Examples include dependable stock availability, traceable production consumption or a cleaner quote-to-cash flow.
Document the current baseline, affected roles and evidence that will show whether the change works.
2. Assign process and decision ownership
Every major workflow needs a business owner who can resolve policy questions, approve the future process and support adoption. Identify who owns master data, approvals, exceptions and post-launch improvement.
3. Separate essential scope from desirable scope
Prioritise the smallest coherent operating flow rather than collecting every requested feature. Dependencies matter: inventory cannot be designed independently from purchasing, sales, valuation and the data that connects them.
- Define what must work on day one.
- Record what can follow in a later release.
- Make integrations and reporting dependencies explicit.
4. Treat data as a workstream
Decide which records will migrate, how they will be cleaned, who approves them and when they will be frozen. Rehearse migration with realistic volumes and reconcile the result before cutover.
5. Plan adoption and controlled rollout
Training should use role-based scenarios, not generic product tours. Define support ownership, issue triage and the measures that will be reviewed after launch.
Readiness output
A useful readiness phase produces a process map, scope boundaries, ownership model, data plan, integration inventory, risk register and phased delivery roadmap.
The right sequence depends on your operating model, regulatory context, data quality and existing systems.