CIO / Enterprise architect · Compare a classic SI with Skalp AI on D365 development
D365 F&O development: classic SI vs Skalp AI — factual analysis
A classic SI bills D365 development by the person-day at €1,000-1,500/day. Compare 8 technical and economic dimensions before signing.
TL;DR
Classic SI vs Skalp AI on Dynamics 365 F&O development: 8 factual criteria (pricing, lead time, quality, expertise). 2026 comparison.
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
The traditional SI model is expensive without result commitment
- ✗The €1,000-1,500/day rate applies uniformly, regardless of actual development complexity.
- ✗No contractual overrun penalty — every additional day is billed.
- ✗Expert profiles (architects, leads) are scarce and only available to large accounts.
How SKALP solves it
Skalp AI: architect-grade quality, per-ticket price, universal access
- ✓An X++-specialized AI applying Microsoft patterns (extensions, CoC, event handlers) without exception.
- ✓€200 per resolved ticket, available to any company size — no revenue-based discrimination.
- ✓SysTest and XppBP tests delivered systematically, integrable into your CI pipeline without rework.
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.
The factual comparison
| Criterion | Classic D365 SI | Skalp AI |
|---|---|---|
| Pricing | €1,000-1,500/day by profile | €200 per resolved ticket (flat) |
| Average ticket cost | €4,000-12,000 (5-10 days) | €200 (all complexities) |
| Standard lead time | 3 to 8 weeks (full cycle) | 48-72 h for code delivery |
| Expertise level | Variable: junior to architect | Architect-equivalent on every ticket |
| Unit tests | Optional (often skipped) | SysTest delivered systematically |
| Overrun risk | Client (billed actual days) | Skalp AI (contractual flat price) |
| Documentation | Often incomplete | Generated with every ticket |
| Expertise access | Conditional on client revenue | Universal (SMB, mid-cap, large) |
Frequently asked questions
Does a classic SI still have an edge over Skalp AI?+
On strategic advisory, platform audits and organizational transformation, yes — humans stay central. On pure X++ production (extensions, classes, workflows, integrations), Skalp AI delivers faster and cheaper, with equivalent or superior code quality.
How do we assess Skalp AI code quality?+
Three measurable criteria in Azure DevOps: (1) XppBP / FxCop rules passing in your CI, (2) SysTest unit-test coverage, (3) first-merge approval rate (target > 85%). You stay the judge — a ticket that fails review is not billed.
Can we combine Skalp AI with an existing SI?+
Yes. Most clients keep their SI for advisory, architecture and project steering, and route per-ticket-packageable developments to Skalp AI. Both models coexist on the same Azure DevOps without friction.
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