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Build a realistic implementation plan that accounts for integration complexity and organizational change.
Read through the lesson, mark it complete when the concept is clear, then move to the next lesson in the sequence or jump back to the module map.
Implementation always takes longer than expected. The technical integration is usually 30% of the effort; data preparation, testing, change management, and rollout take the remaining 70%.
Plan for this reality upfront — don't discover it mid-project.
Phase 1 (Foundation): Infrastructure, access, data preparation, baseline measurement. 2-4 weeks.
Phase 2 (Pilot): Build and test with a subset of real use cases and users. 4-8 weeks.
Phase 3 (Iteration): Fix issues, improve based on feedback, extend coverage. 4-8 weeks.
Phase 4 (Scale): Full rollout, automation, optimization. Ongoing.
Don't skip phases. Phase 2 failures are recoverable; Phase 4 failures affect the whole organization.
Rate each integration point (1-3): API availability, data quality, authorization complexity, and testing complexity. Sum across all integration points for a complexity score.
Score < 15: straightforward. 15-30: moderate complexity, budget extra time. >30: high complexity, consider phasing or simplifying scope.
Alongside the technical plan, build a parallel change management plan:
Identify and score (probability × impact) the top 10 risks. For each risk: mitigation strategy, contingency plan, owner, and early warning indicator.
Review the risk register weekly during implementation. New risks emerge constantly.