IFS Implementation
Implement IFS the right way — the first time.
IFS implementation is the end-to-end deployment of IFS Cloud — from solution design and configuration to data migration, testing, training and go-live — aligned to how your business actually runs.
- Standard-first beats customise-first for total cost of ownership.
- Adoption — not go-live — is the metric that determines ROI.
- Clean architecture today is what keeps upgrades cheap tomorrow.
A clean implementation is the cheapest insurance against a future red project. EX10 implements IFS with a standard-first mindset: maximise out-of-the-box capability, minimise risky customisation, and keep a clean upgrade path. Two decades of delivery means we know where IFS programmes go wrong — and design them not to.
Signs you need this
- Unclear scope and shifting requirements
- Pressure to over-customise instead of adopting standard IFS
- Thin internal IFS capability and competing day-job priorities
- Data and integration complexity underestimated
How we deliver
- 1
Discover & design
Map processes to standard IFS, agree scope, and produce a solution architecture that stays upgrade-friendly.
- 2
Build & configure
Configuration-first delivery, with customisation only where it creates lasting advantage.
- 3
Migrate & test
Structured data migration and layered testing (unit, process, UAT) so surprises surface early.
- 4
Go-live & adopt
Cutover, hypercare and real training so the organisation actually adopts IFS.
IFS Implementation — questions, answered
How long does an IFS implementation take?
It depends on scope, modules and number of sites — a focused single-site rollout can be months, a multi-entity global programme longer. We scope a realistic timeline during design.
Should we customise IFS or adopt standard?
Adopt standard wherever it meets the need. We reserve customisation for genuine, lasting competitive advantage — it keeps cost down and upgrades clean.
Explore related solutions
Talk to us about ifs implementation
Talk to the team that has rescued red projects — and is building the future of AI for IFS.