AX 2018 schedule defines the planned timeline and key milestones for enterprise projects using Dynamics AX 2018. Teams rely on this schedule to coordinate deployments, training, and cutover activities across global locations.
Below is a structured overview of core schedule elements, including duration, dependencies, and responsible roles for typical implementation initiatives.
| Phase | Key Deliverables | Typical Duration | Primary Owner |
|---|---|---|---|
| Project Kickoff | Charter, scope, stakeholder list | 2 weeks | Project Manager |
| Blueprint & Design | Solution design, process maps | 6–8 weeks | Implementation Lead |
| Configuration & Development | Configured modules, integrations | 10–14 weeks | Technical Team |
| Testing & Training | Test scripts, training materials | 6–8 weeks | QA Lead & Training Manager |
| Go-Live & Hypercare | Live system, support logs | 2 weeks + 4 weeks | Operations & Support |
Project Planning and Timeline Management
Effective project planning for AX 2018 schedule starts with a detailed work breakdown structure and clear milestones. Teams map dependencies between configuration, data migration, and training tasks to avoid bottlenecks.
Using a central project plan, stakeholders track progress against predefined dates, adjust resources, and manage risks that could delay go-live. Integration points with existing systems are validated early to prevent rework during later phases.
Configuration and Customization Strategy
Configuration decisions directly impact the AX 2018 schedule, as standard functionality is prioritized before custom development. The team documents business requirements, maps them to system capabilities, and schedules configuration sprints accordingly.
Customization efforts are tracked separately, with change requests reviewed for impact on timelines, quality, and support. A controlled environment setup allows parallel development and testing without disturbing production tasks.
Testing, Training, and Data Migration
Testing forms a critical pillar of a stable AX 2018 schedule, with unit tests, integration tests, and user acceptance testing scheduled well before cutover. Test cycles include performance checks and regression testing to ensure ongoing reliability.
Data migration activities are timed after configuration is stable, using cleansing scripts and validation runs to reduce errors. Training sessions are aligned with milestones so that end users are prepared when new processes go live.
Go-Live, Hypercare, and Post-Implementation Review
Go-live planning is tightly integrated into the AX 2018 schedule, with cutover rehearsals, rollback procedures, and communication plans prepared in advance. Hypercare support focuses on resolving issues quickly to maintain business confidence during the initial weeks.
After stabilization, the team conducts a post-implementation review to capture lessons learned, measure schedule adherence, and identify improvement opportunities for future upgrades. These insights feed into long-term roadmap planning and enterprise governance.
Key Takeaways and Recommendations
- Define clear milestones and owners for each phase of the AX 2018 schedule.
- Prioritize standard configuration and delay customization until later cycles.
- Align testing, training, and data migration to avoid resource conflicts.
- Plan hypercare and communication to support user adoption during go-live.
- Review outcomes after implementation to refine future upgrade and rollout plans.
FAQ
Reader questions
How do I determine the right timeline for my AX 2018 implementation schedule?
Assess project scope, data complexity, integration points, and resource availability, then build a phased schedule with buffer time for testing and training.
What common delays should I account for in the AX 2018 schedule?
Expect potential delays in data migration cleansing, integration testing, user availability for UAT, and change management approvals.
Can the AX 2018 schedule support phased rollout across multiple legal entities?
Yes, you can stroll the schedule by region or function, reusing blueprint artifacts and adjusting configuration sprints for each phase.
How does upgrade path from earlier AX versions influence the schedule?
data-migration tasks, compatibility checks, and regression testing.