Custom development on IFS Cloud: build, buy, or generate
In short: To close an IFS Cloud gap you can build it custom, buy an add-on, or generate it with an IFS-native AI app builder. Building is flexible but slow; buying is fast but rarely an exact fit; generating gives you a tailored, IFS-validated app in days while keeping a clean upgrade path.
Every IFS programme eventually hits a gap between what standard IFS does and what the business needs. The question is how to close it. There are three broad options, and the right answer depends on how specific the need is, how fast you need it, and how much you value an exact fit.
Option 1 — Custom build
Hand-build the app or extension. This gives you an exact fit and full control, but it is the slowest and most expensive path. On IFS specifically, it demands scarce skills: knowing the data model, the OData conventions, ETags, bound actions and authentication. Small apps wait behind big ones, and the backlog grows.
Custom build is the right call when the need is genuinely unique and strategic — and worth the time and specialist cost.
Option 2 — Buy an add-on
Buy a packaged product that covers the area. This is fast to acquire, but packaged add-ons are built for the average customer, not yours. You often reshape your process to fit the tool, carry features you do not need, and add another vendor and integration to maintain.
Buying makes sense when a mature product matches your need closely and the area is not a differentiator.
Option 3 — Generate it
Use an IFS-native AI app builder to generate the app from a description. You get an app tailored to your need, connected to your IFS and validated against your data model, in a fraction of the time of a custom build — without reshaping your process around someone else's product.
Because generated apps use standard OData REST APIs rather than core modifications, they layer onto IFS with a clean upgrade path. This is the sweet spot for the long tail of specific-but-not-strategic apps, forms, reports and integrations that every IFS estate needs.
How to choose
A simple rule of thumb:
- Strategic and unique, with time and budget — custom build
- Common need, mature product, not a differentiator — buy
- Specific to you, needed soon, layered onto IFS — generate
In practice most of the backlog falls into the third bucket, which is exactly where an AI app builder pays back fastest.
See it on your IFS
NgageCode generates custom IFS Cloud apps from a prompt — validated against your data model. Book a demo to see it build, live.
Book a demoFrequently asked
Does generating apps create technical debt?
Generated apps use standard OData REST integrations and avoid core modifications, which keeps a cleaner upgrade path than deep customisations. The key is that output is validated against the IFS data model rather than hand-rolled.
Can partners use this to deliver client work?
Yes. IFS partners use AI generation to deliver custom apps and industry accelerators faster, turning one-off bespoke work into repeatable, higher-margin assets.