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Infor ERP Cloudsuite, AI, Infomind.ai Infor CloudSuite Infor User Training

Infor ERP Testing to User Training Using AI

Jerome Josephraj |

ERP Testing to Training Using AI: How GPT‑Powered Automation Is Re‑wiring ERP Enablement
(From QA to Continuous Learning)

The 40 % Problem 

Industry research shows that training alone absorbs around 15 % of an ERP project’s budget, while software testing can account for 20 – 40 % of total development spend; combined, these two activities routinely consume close to 40 % of overall project costs.[1][2] Generative AI is turning that cost curve on its head. Large‑language models (LLMs) such as GPT‑4o now draft, optimize, and even run test cases in minutes. Better still, the very assets created for quality assurance can be recycled into narrated, multi‑language training videos and injected straight into an LMS. Every test you write becomes the next lesson your users watch. 

Closing the Loop: Test Case → Script → Video

Legacy pain point GPT‑enabled fix Tangible benefit
Consultants manually document business steps in spreadsheets. Business steps are captured once; the platform converts them to executable test scripts Up to 70 % faster script authoring.[3]
Scripts “rot” after every sprint. Prompt‑based refactoring rewrites only what changed. ≈ 50 % lower maintenance effort.[4]
QA → L&D hand‑off is manual. One‑click video synthesis turns screenshots into branded MP4s. Training lands the same day UAT is signed‑off.
Static training libraries. Auto‑re‑rendering updates only changed frames & narration in 100+ languages. Always‑current content, globally.


Vision‑enhanced models capable of visually inspecting the UI and logging defects are on our near‑term roadmap. 

Introducing Infomind.ai for Infor ERP 

Infomind.ai, in partnership with Wipro’s Infor alliance, has pioneered an AI-first platform that transforms test assets into dynamic training content, redefining how enterprises enable their ERP users: 

Module What it does
No-Code Test Author Uses captured business steps (or BPMN diagrams for reference) to generate executable scripts.
Auto‑Execute Engine Runs scripts across CloudSuite environments, collecting screenshots and KPIs.
AI Video Studio Creates multi‑language MP4/HTML5 clips from test runs with synthetic voiceover.
LMS Connector Publishes videos, PDFs, and quizzes to the customer’s learning portal in 100+ languages.


*Tech stack.* Prompts route to GPT‑4o or Claude Sonnet 3.5 (private Azure endpoints optional). Custom RLHF pipelines preserve ERP terminology and enforce security & privacy.

*No code required.* Business users explain each process via BPMN diagrams; the engine generates, validates, and schedules tests—no Java, no Selenium IDE—while keeping business language intact. 

Case Spotlight – New Wave Group (NWG)

NWG, a rapidly growing fashion & lifestyle conglomerate, needed to “do more with less.” Too many processes were still manual. The company dismantled an aging facility and stood up a fully automated warehouse while implementing Infor CloudSuite Fashion and Infor WMS — all in just seven months.

  • Full warehouse automation and CloudSuite Fashion live in 7 months—including all system integrations.
  • AI‑driven testing slashed manual QA effort and enabled go‑live on schedule despite a parallel facility rebuild.
  • Multi‑language training videos is accelerating multi-country roll‑outs.

“We implemented full warehouse automation and Infor CloudSuite—with all integrations—in just seven months. The AI‑based project tools from Infomind made it all possible.”
- Patrik Broman, CEO, New Wave Group

→Watch 45-Second Video Testimonial from CEO

Hearing directly from Patrik Broman drives home the real‑world impact of AI‑driven test automation and multi‑language training on rollout speed and user adoption. 

Why It Matters 

  1. Reclaims up to 20 % of total project budget by shrinking testing & training spend. 
  2. Eliminates “code‑freeze” anxiety through continuous, automated QA coverage. 
  3. Ships micro‑learning with every release, reducing user ramp‑up time by >60 %. 
  4. Creates a searchable knowledge base (video + transcript) for on‑demand support. 

What’s Next

  • Vision‑based assert detection (goodbye XPath).
  • Embedded copilots offering real‑time test suggestions and in‑app tooltips.
  • Self‑healing processes where a failed test triggers GPT to propose fixes, regenerate scripts, and update videos before the daily stand‑up. 

Call to Action

Curious how Infomind.ai for Infor ERP can compress timelines and slash costs? 

References

[1] IDC Learning Services, “Building a Budget for ERP Training,” 2020.
[2] Idealink Tech, “Understanding Software Testing Costs,” 2025.
[3] KPMG Low‑Code QA report, 2024.
[4] itConvergence AI Testing study, 2025.

 

 

 

 

 

 

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