Why your D365 F&O projects cost 10× too much

When a CIO signs a contract with a D365 integrator, they are buying days — not results. A junior X++ developer bills between €600 and €800 per day; a senior architect exceeds €1,200 per day. Multiply these rates by the 5 to 10 days needed to deliver a mid-sized development (a custom report, a business workflow, a simple EDI integration), and you quickly reach €4,000 to €12,000 per ticket.

The fundamental problem is that the vendor is not penalized for taking longer. On the contrary: each day of overrun is an additional day of revenue. This is not a critique of consultants acting in bad faith — it is simply the mechanics of a model where the interests of the seller and the buyer are structurally opposed.

Industry studies converge: more than 70% of ERP projects exceed their initial budget, and D365 is no exception. The reasons given are often 'scope changes', 'unforeseen complexity', or 'hidden dependencies'. But a significant portion of these overruns is simply explained by the absence of any incentive to move fast.

AMS (Application Management Services) is supposed to be the cost-effective solution for maintaining your D365. In theory, you pay a monthly retainer and your provider handles your tickets. In practice, AMS contracts rarely include SLAs on resolution speed; they mainly guarantee human availability, not outcomes.

The result: tickets open for six months, development requests pushed from sprint to sprint, and a backlog that grows faster than it shrinks. Users work around the system, create manual Excel exports, and lose confidence in the ERP. Functional debt accumulates, which will justify tomorrow a new migration project — and a new cycle of day-rate billing.

This rent-seeking model is particularly visible in large organizations where the AMS provider has made itself indispensable by holding the knowledge of the system's configuration. Replacing an AMS provider is costly in terms of skills transfer, which further reduces the CIO's negotiating power. This dependency is constructed, not suffered.

Artificial intelligence does not replace an experienced D365 consultant — it radically changes the relationship between time spent and quality delivered. An AI model trained on thousands of X++ developments, Microsoft documentation, and the most common D365 patterns can generate in minutes functional code, associated specifications, and corresponding unit tests.

In practice, a development that required 3 days of consultant work can be produced in less than an hour: 20 minutes of AI generation, 30 minutes of review and adjustments by an expert, 10 minutes to create the PR in Azure DevOps. The CIO validates, and the ticket is resolved. The cost drops from €2,400–€3,600 (3 days × consultant rate) to €200 (fixed price per resolved ticket).

This is not a marketing promise: it is the arithmetic of a fixed-cost-per-result model. SKALP AI charges €200 per resolved ticket — regardless of complexity. If the ticket is not resolved, it is not charged. This inversion of the risk model is what makes the ROI calculation immediately favorable for any D365 CIO.

Before comparing models, start with a simple audit of your backlog. Count the number of tickets open for more than 30 days. Estimate the average cost per resolved ticket at your current provider (monthly AMS ÷ number of tickets resolved per month). You will often get a figure between €800 and €2,000 per ticket — sometimes much more.

Add to this the indirect cost: the time your business teams spend chasing support, creating workarounds, and training new users on degraded processes. This hidden cost often represents 30 to 50% of the direct provider cost. It never appears on any invoice but weighs heavily on overall productivity.

Finally, calculate the missed opportunity: how many useful developments remained in the backlog for lack of budget? An automated financial report that would save your controller 2 days per month is a real uncaptured value. With a €200/ticket model, these high-value, low-budget developments finally become accessible. This is often where the most spectacular ROIs are hiding.