5 D365 F&O developments your team can deliver in 1h with AI

The most frequent use case in our SKALP AI tickets: a custom SSRS report. The business wants an aged balance report by customer segment, or a valued inventory report by warehouse grouped by supplier. Traditionally: 2 to 3 days of consultant development, 1 day of testing, 1 day of corrections. Total: 4 to 5 days, or €3,200 to €4,800.

With SKALP AI: the CIO or project manager describes the report in natural language (desired columns, filters, sorting, format). The AI generates the X++ report class, the SSRS definition (.rdl), filtering parameters, and optimized queries. A D365 expert validates in 20 minutes. The PR is automatically created in Azure DevOps. The CIO approves. Total time: 45 minutes to 1 hour. Cost: €200.

Quality is maintained because the AI follows Microsoft standard patterns for D365 SSRS, generates automatic performance tests, and documents each parameter. Business testing is still necessary — but it takes place on clean code from the very first attempt.

Approval workflows are the second most common ticket type. The need is almost always the same: add an additional approval step based on a threshold (for example, any order > €50,000 must be approved by the CFO) or a business criterion (intercompany orders, non-referenced suppliers, etc.).

The AI generates the custom X++ workflow participant, the D365 workflow configuration, the condition logic, and automatic email notifications. What took a consultant 2 days now takes 40 minutes of generation + 15 minutes of technical validation + 5 minutes of PR. The workflow is deployable from the first version in 80% of cases.

The key to success here is precision in the initial description. The more precise you are about thresholds, approver roles, and exceptions, the better the generated code. SKALP AI guides you with a structured description template to maximize quality from the first attempt.

EDI (Electronic Data Interchange) integrations — receiving customer orders, shipping notices, supplier invoices — represent a large portion of D365 projects. The standard pattern uses D365 Data Entities and the Data Management Framework. This is a pattern the AI masters perfectly.

Based on your EDI schema (EDIFACT, ANSI X12, or proprietary format), the AI generates the custom Data Entity if needed, the mapping class, the data transformation and validation logic, and alerts in case of errors. For standard-complexity integrations (1 flow, 1 target entity), the total generation + validation time is under 1 hour.

For complex integrations (multiple flows, deduplication logic, rejection management with automatic notification), generation stays under 2 hours in the majority of cases — versus 5 to 10 days traditionally. The ROI on this type of ticket is particularly spectacular.

The fourth case: bulk data migration scripts. After a merger, a change of chart of accounts, or a cost center restructuring, thousands of D365 data rows must be migrated without interrupting production. The AI generates X++ migration scripts with transaction management, automatic rollback on error, and detailed logging. What usually takes 3 days (development + testing + supervised execution) is reduced to less than an hour of generation and half a day of testing.

The fifth case: custom business alerts. Your controllers want to be automatically notified when a product's stock falls below a dynamic threshold, or when a customer invoice exceeds 90 days without payment. D365 has a limited native alert system; custom alerts require X++. The AI generates the monitoring class, the scheduled batch, and email templates in under 40 minutes.

In both cases, delivery is via Azure DevOps with PR and CIO validation. Documentation is generated automatically. Unit tests are included. This is the SKALP AI model: fast results, rigorous process, fixed cost.