Business Originals

Why Domain Expertise Determines ERP Transformation Success in the AI Era

Why do so many ERP implementations technically work - but still fail the business?


Key takeaways of this session:
  • ✔
    How to stop rebuilding existing problems and rethink the purpose of your workflows.
  • ✔
    Where AI adds value and where human judgment remains critical.
  • ✔
    How to develop deep expertise in a world where routine work is increasingly automated.
duration 27 minutes
who is this webinar for CIOs, CFOs, Transformation Leaders, IT Leaders, ERP Project Managers, Solution Architects, Implementation Managers, and Functional Consultants.
Summary
ERP programs fail when configuration decisions are made without understanding end‑to‑end business processes. Application knowledge alone leads to fragmented solutions and costly recovery projects. In this session Emily explains why deep domain expertise is required to design ERP systems that actually support the business. You learn how expert leadership, process modeling, and asking the “why” prevent rework, reduce recovery effort, and speed up transformation.
Speakers
 
 
Hans MulderAntwerp Management School
 
video Chapters
02:10
Why ERP Projects fail without domain expertise
07:45
From task-level configuration to end-to-end process thinking
13:40
Recovering failed ERP implementations
20:30
Expert leadership in transformation and AI-driven change
In partnership with Avanade1

 

From Application Configuration to Business-Led ERP Transformation

An overview of how domain expertise changes ERP outcomes - from preventing failure to enabling faster, business‑aligned transformation.


solutions
ERP Projects Stall at Task Level

Traditional ERP implementations focus on tasks, buttons, and individual requirements. Teams configure extensions and custom code in silos, often across multiple stakeholders. While the software works technically, the end‑to‑end business process breaks. The result is fragmented workflows, unclear ownership, and systems that do not support real operational goals.

problem-solving
Recovery is No Longer Optional

Many organizations already hold ERP licenses but face failed or underperforming implementations. Growth is blocked, systems are outdated, and transformation initiatives stall. According to the session, delaying action only increases recovery complexity, as teams continue to build on incomplete process understanding and outdated assumptions.


exclamation-mark
From System Thinking To Process Ownership

Successful ERP transformation starts by zooming out. Instead of rebuilding legacy systems in modern software, organizations must model end‑to‑end processes, clarify ownership, and ask why activities exist. This shift enables informed decisions on what belongs in ERP, what does not, and how processes should evolve.

not-equal
Expert-Led Recovery Accelerates Results

Recovery projects succeed when senior experts guide conversations at the right level. In the session, recovery initiatives progressed faster once teams aligned on process models and decision logic, rather than isolated fixes. What previously took months of rework moved forward rapidly once the bigger picture was clear.

“You can configure any ERP, but if you don't understand the business, you don't know where to start”

FAQ's

Why do ERP implementations fail even when the software works?

Because teams focus on application configuration instead of end‑to‑end business processes. The transcript shows that systems often meet technical requirements but fail to support how the business actually operates.

What role does domain expertise play in ERP success?

Domain expertise enables teams to ask the right questions, understand process dependencies, and design ERP configurations that support real business outcomes instead of isolated tasks.

Can a failed ERP implementation be recovered?

Yes. The webinar describes multiple recovery projects where the ERP software remained, but the implementation approach changed to focus on process modeling and domain‑level decision making.

Why is end‑to‑end process modeling so important?

Process models make dependencies, ownership, and data flows visible. According to the session, drawing the full process helps stakeholders align and prevents fragmented solutions.