---
title: "IFS Testing: CRIM Validation, ATT and Cutover Rehearsals"
date: 2025-09-30
description: "IFS Cloud testing from discovery to cutover: technical CRIM validation, the Automated Testing Tool (ATT), mock cutovers and testing between releases."
author: "Dariusz Myśliwiec"
intro_image: "https://ifs-erp.consulting/images/articles/ifs-testing-en-5e1ae61e.webp"
fulltext_image: "https://ifs-erp.consulting/images/articles/ifs-testing-en-5e1ae61e.webp"
categories:
  - name: "How IFS Cloud ERP Transforms Business Operations Supply Chain AI and Legacy System Migration"
    url: "https://ifs-erp.consulting/ifs-cloud.md"
tags:
  - name: "IFS Cloud"
    url: "https://ifs-erp.consulting/tags/ifs-cloud.md"
  - name: "IFS implementation"
    url: "https://ifs-erp.consulting/tags/ifs-implementation.md"
  - name: "Testing"
    url: "https://ifs-erp.consulting/tags/testing.md"
  - name: "Planning"
    url: "https://ifs-erp.consulting/tags/planning.md"
---

# IFS Testing: CRIM Validation, ATT and Cutover Rehearsals

![IFS Testing: CRIM Validation, ATT and Cutover Rehearsals](https://ifs-erp.consulting/images/articles/ifs-testing-en-5e1ae61e.webp)

## TL;DR: The Executive Summary

 Testing is the only insurance policy for your ERP investment.

 
---

 - **What it is:** A multi-layered technical validation of IFS Cloud configuration, CRIMs, and data.
- **Phase 0 to Go-Live:** Testing starts during Discovery, not after Build.

 - **The Evergreen Factor:** Testing must be a continuous cycle due to bi-annual IFS updates.
- **Problem Solved:** Eliminates post-go-live «surprises,» data corruption, and operational downtime caused by untested customizations.

 ### What Problem Does This Article Solve?

 Many organizations treat ERP testing as a «check-the-box» activity before Go-Live. This leads to the **«Iceberg Effect»**: hidden defects in customizations (CRIMs), broken integration logic, and security permission gaps that only surface under real-world load. This article provides a structured framework to shift testing «left,» identifying risks in the Prototype phase to save 40% of implementation costs and ensuring your IFS Cloud environment remains stable during its continuous update cycles.

 ## 1. Discovery & The Technical Baseline

 In the IFS methodology, testing begins long before the first environment is provisioned. During the **Discovery & Planning** phase, the focus is on creating a *Testable Requirement Baseline*.

 ##### Process Scoping

 Using the IFS Scope Tool to define every business sub-process. If it isn’t in the scope, it won’t be in the test plan.

 ##### Enterprise Rules

 Defining the «Book of Rules» (EBR). These rules become the «Expected Results» in your future test scripts.

 ##### Technical Baseline

 Analyzing legacy data sources. Testing early data quality prevents «Garbage In, Garbage Out» in later phases.

 ## 2. Prototyping: Validating the «Possible»

 The **Confirm Prototype** phase is where technical consultants build a «working model» of your future state. This isn’t just a demo; it’s the first stage of **System Integration Testing (SIT)**.

 #### The Anatomy of a Prototype Test

 Unlike standard vanilla testing, an IFS Prototype Test uses **Company-Specific Data**. We validate:

 
- **Cross-Departmental Handshakes:** Does a Shop Order correctly trigger a Purchase Requisition based on the prototype MRP settings?
- **IFS Projections:** For IFS Cloud, we test the OData endpoints (Projections) to ensure the UI and API layers are communicating correctly.
- **Key User Training:** Key users act as «First Pass» testers, documenting system navigation hurdles.

 ## 3. Building & The «CRIM» Validation

 In the **Establish Solution** phase, customizations (Configurations, Reports, Integrations and Modifications, or CRIMs) are fully developed. This is the most technically intensive testing period.

 #### Manual vs. Automated Test Cycles

 IFS Cloud implementations now demand a hybrid approach. While process logic often requires manual walkthroughs by SMEs, **Regression Testing** should be automated using the *IFS Automated Testing Tool (ATT)*.

 **The CRIM Checklist:** 
- Validating Page Configurations via the IFS Page Designer.
- Testing Business Process Automation (BPA) workflows.
- Ensuring Custom Events trigger the correct background jobs.

 #### IFS Test Tracker

 Centralizing defect management is non-negotiable. Every bug found during CRIM validation must be linked to a requirement ID, a developer, and a re-test cycle.

 ## 4. Cutover & Operational Readiness (ORT)

 As you approach the **Implement Solution** phase, testing shifts from «Does it work?» to «Can the business run on it?». This involves **Operational Readiness Testing (ORT)**.

 Load & Stress Testing

 Will the system freeze on Monday morning when 500 users log in simultaneously to record time? We simulate peak transactional volumes to validate the cloud-pod scaling and database performance.

 Data Migration Rehearsal

 Not a test of logic, but a test of *timing*. We run mock cutovers to ensure the «Go-Live Weekend» window is sufficient for the final legacy-to-cloud data sync.

 ## The Evergreen Reality: 23R1, 24R1, 24R2…

 In IFS Cloud, testing is never «finished.» The Evergreen model introduces bi-annual updates that change the underlying codebase.

 ##### Impact Analysis

 Using the **Update Analyzer** to find conflicts between the new IFS release and your customizations.

 ##### Regression Automation

 Maintaining a library of automated scripts to ensure core processes (P2P, O2C) don’t break during an update.

 ##### Periodic UAT

 Engaging business owners every 6 months to validate new feature functionality before it hits production.

 ## Frequently Asked Questions

 ## 

 While IFS tests the «Core» product rigorously, they cannot test your unique **Configurations, Custom Fields, and Integrations**. An update may change a standard projection that your external BI tool relies on, or a new security logic might block your custom «Shop Floor» page. You own the validation of your specific *delta*.

 ## 

 **Technical Testers** focus on the «plumbing»: APIs, data integrity, and script execution. **Key Users** focus on the «Process»: Does this workflow actually match how we sell to our customers? Key users perform UAT (User Acceptance Testing) to ensure the system is fit for business purpose.

 ## 

 For a standard implementation, we recommend at least **three full mock runs**. Mock 1 is for technical mapping, Mock 2 is for functional UAT, and Mock 3 is the «Cutover Rehearsal» to time the final Go-Live sequence.

 ## 

 A load test failure usually points to either unoptimized SQL in a CRIM, or a need to adjust the «pod» scaling in the IFS Cloud architecture. Identifying this *before* Go-Live allows the technical team to refactor code or increase resource allocation without impacting live customers.

 ### Don’t Gamble with Your Go-Live

 Our experts provide managed testing services, from automated regression scripts to complex SIT orchestration.

 [Get a Testing Audit](https://ifs-erp.consulting/contact)