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DevOps Lead / IT manager · CI/CD pipelines and D365 branching strategy

Azure DevOps D365 integration by AI — pipelines and validation in 48 h

Your D365 DevOps cycle relies on fragile homemade scripts, and every release takes 2 days of manual handling.

TL;DR

Azure DevOps CI/CD pipelines for Dynamics 365 F&O, generated by AI in 48 h. Automated build, tests, LCS release. €200 per resolved ticket.

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Microsoft D365 F&O expertise
10 ans
D365 F&O
€200 / ticket
Fixed price per resolved ticket
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

D365 DevOps remains massively manual at most integrators

  • ✗No CI build on pull requests: regressions are discovered in UAT, days later.
  • ✗LCS deployments done by hand, no automatic rollback on failure.
  • ✗Anarchic branching: main, dev, hotfix with no merge policy or protection.
  • ✗Automated tests non-existent or tucked away in a project corner, never run.
How SKALP solves it

CI/CD pipelines ready for D365 F&O, delivered as versioned YAML

  • ✓YAML build pipeline: compilation, XppBP validation, SysTest unit tests, deployable package generation.
  • ✓LCS release pipeline: package upload, deployment on target environment, post-deployment check.
  • ✓Documented Git branching strategy (trunk-based or GitFlow) with Azure DevOps branch policies.
  • ✓Teams or email integration for build / release notifications.

How it works

1

Submit your ticket

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

2

AI generates the extension

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

3

Validation on your Azure DevOps

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

4

Delivered — you pay €200

Once merged, it's delivered. No billing if the ticket isn't resolved.

Examples of tickets handled

YAML build pipeline

Build a complete Azure Pipelines pipeline with compile, Best Practice validation and deployable package publishing steps.

⏱ 48 h

LCS release pipeline

Deployment pipeline to LCS with LCS API, multi-environment configuration (Dev, UAT, Prod) and approval gates.

⏱ 48-72 h

SysTest automated tests

Set up the SysTest framework with execution in the CI pipeline and result reporting on the Azure DevOps Tests tab.

⏱ 48 h

Documented branching strategy

Documentation and rollout of the Git strategy (trunk-based recommended for D365), with branch policies, PR templates and required reviewers.

⏱ 48 h

Frequently asked questions

Why automate D365 F&O DevOps when Microsoft provides LCS?+
LCS handles deployment but not upstream code quality. Without CI/CD on the Azure DevOps side, every release ships regressions discovered late. A complete pipeline reduces commit-to-production time from days to hours.
Does Skalp AI access my LCS environment to deploy?+
No. Skalp AI delivers pipeline code into your Azure DevOps repo. Your IT team runs and deploys. We have no direct access to your Microsoft tenant, your LCS environments or your business data.
Which branching strategy do you recommend for D365 F&O?+
For most D365 teams, trunk-based with short feature branches (< 3 days) and protected merge to main offers the best speed/quality trade-off. GitFlow only makes sense for very large teams (10+ devs) with quarterly releases.
How much does setting up a D365 DevOps pipeline cost at an SI?+
A D365 DevOps engagement at a large SI is billed €15,000 to €40,000 (10 to 25 person-days at €1,500/day). Skalp AI delivers pipelines per ticket: €200 each, so typically €600 to €1,000 for a full CI/CD setup.

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Submit your first ticket

€200 if resolved. Nothing if not resolved.

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