ERP / Operations manager · Batch & SysOperation jobs

Batch & SysOperation jobs for D365 F&O coded by AI

Your bulk processes (purge, calculation, nightly integration) rely on fragile or non-existent jobs, and the SI bills each automation dearly.

TL;DR

D365 F&O batch and SysOperation jobs generated by AI: recurring, parallelized, monitorable. 1 credit (≈ €200) per ticket, validated on Azure DevOps.

Join the waitlist

Microsoft D365 F&O expertise

10 ans

D365 F&O

1 credit / ticket

≈ €200, degressive in packsA ticket is resolved when SKALP AI successfully develops exactly what was defined during the needs analysis phase and tests pass — ticket handled + code or deliverable made available.

vs €800-1,200 at a typical SI

48 h

Average delivery time

Azure DevOps

Validated by your IT

The problem with your current vendor

Batch processes: critical yet under-invested

✗The SysOperation framework is powerful but mastered by few outside X++ experts.
✗Time-consuming manual processes for lack of reliable batch automation.
✗Non-parallelized jobs that saturate your nightly processing windows.

How SKALP solves it

Robust, parallelized and monitorable SysOperation jobs

✓Generation of SysOperation processes (data contract, controller, service) ready to schedule.
✓Batch-bundle parallelization to fit your processing windows.
✓1 credit (≈ €200) per ticket; free needs analysis, tests and PR on your Azure DevOps.

How it works

Submit your ticket

Describe the business or technical need in a few lines. No 50-page spec required.

AI generates the extension

X++ code, unit tests and documentation produced in under 48 hours.

Validation on your Azure DevOps

Pull request submitted on your repository. Your IT lead reviews and validates before merge.

Delivered — 1 credit (≈ €200)

The credit is only consumed when the development is generated (smart contract). Once merged, it's delivered. No billing if the ticket isn't resolved.

Examples of tickets handled

Recurring SysOperation batch

Scheduled process with parameters (data contract), batch execution and logging.

⏱ 48 h

Process parallelization

Splitting a heavy process into parallel batch tasks to divide execution time.

⏱ 48-72 h

Purge / archiving job

Configurable purge or archiving of technical data (logs, staging) to lighten the database.

⏱ 48 h

Frequently asked questions

Are the jobs monitorable?+

Yes: execution via the native batch framework, visible in D365 monitoring, with built-in logging and error handling to ease diagnosis.

Can you take over an existing job?+

Yes. The AI analyzes the existing job in your context (Pro plan for connection to your instance and Azure DevOps) before hardening or parallelizing it.

To go deeper on the same topic, seen from other angles.

For whom

Submit your first ticket

1 credit (≈ €200) if resolved. Nothing if not. Chat and needs analysis free.