Compare objectively before you sign
Six factual Dynamics 365 F&O comparisons: AMS, SI, in-house, pricing models. Criteria, numbers, sources.
Classic D365 AMS vs Skalp AI — the factual 2026 comparison
Before renewing your D365 AMS, objectively compare the classic retainer with the per-ticket model. Seven criteria that change the economics.
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.
X++ D365 development cost: SI vs AI — real calculation by type
How much does the same X++ development cost at an SI versus Skalp AI? Breakdown by type (simple, medium, complex), profile and lead time.
X++ D365 development: in-house vs outsourced — the Skalp AI third way
In-housing X++ costs €200-400k/year and stays risky. SI outsourcing costs €150-300k/year with technical lock-in. Is there a third way?
Fixed-retainer AMS vs pay-per-ticket — 2026 financial comparison
The fixed-retainer AMS model charges for availability — not result. The pay-per-resolved-ticket model fully reverses the economics.
Alternative to large SIs on Dynamics 365 F&O — structural comparison
Large D365-specialized SIs (50-500-developer teams, international presence) bill at premium daily rates. Is there a credible alternative without quality loss?
Copilot vs Skalp AI for D365 F&O development — the factual comparison
Copilot suggests code, but knows neither your instance nor your conventions, and delivers nothing validated. Who owns the result?
SI time-and-materials/retainer vs Skalp AI credit model — who bears the risk?
In time-and-materials or retainer mode, you pay for time spent or availability — never for the delivered outcome.
Offshore D365 development vs Skalp AI — the factual comparison
Offshore promises a low day-rate, but time zones, language barriers and variable quality inflate the real total cost.
Which Skalp AI plan to choose: Basic, Pro or Max?
Chat, needs analysis and design are free in every case. The real question: how far do you want Skalp AI to take deployment and go-live?