Blog Series on Microsoft Dynamics 365 Business Central Wave 2, 2026

Blog 8: Preparing for the Future of Business Central

Five Things Every Business Central Customer Should Do Following Wave 2

Business Central 2026 Wave 2 highlights Microsoft's long-term direction: AI, automation, analytics, integration and modern APIs.

ERP365 Perspective

For ERP365 customers, Wave 2 should be treated as a roadmap signal rather than a feature checklist.

The strongest outcomes will come from reviewing current processes, data quality, integrations, reporting maturity and user adoption before selecting which new capabilities to activate. This gives customers a practical path to reduce manual work, modernise legacy processes, improve decision quality and prepare for AI-enabled operations without creating unnecessary disruption.

ERP365 can help convert the Microsoft release direction into a staged improvement plan that aligns with business priorities, risk appetite and available internal capacity.

Achievable Outcomes

• Turn Wave 2 into a staged improvement roadmap aligned to business priorities and internal capacity.

• Reduce manual work and modernise legacy processes without creating unnecessary disruption.

• Prepare the organisation for AI-enabled operations through better data quality, reporting maturity and user adoption.

Recommended Customer Actions

1. Review existing integrations

Especially any legacy integration methods.

2. Identify AI opportunities

Map repetitive administrative processes.

3. Assess reporting maturity

Determine where better analytics could improve decision making.

4. Evaluate ecommerce strategy

Review online sales capabilities and integration opportunities.

5. Build a 24-month roadmap

Align technology investments with Microsoft's AI-driven direction.

Final Thought

The most successful organisations over the next three years are unlikely to be those simply running ERP software. They will be organisations that use AI, automation, analytics and integrated business processes to operate faster, more accurately and with greater scalability.