ERP Innovation Is Moving Faster Than Customer Adoption
Enterprise Resource Planning (ERP) systems are evolving quickly with cloud updates, AI and automation, but many organizations struggle to turn those new capabilities into meaningful business improvements. In his article for Forbes, tech expert Robert Kramer explains why the gap between ERP innovation and customer adoption is growing. Vendors can release new features in weeks, while customers may need months to improve data quality, simplify customizations, update processes and prepare employees. The challenge is not necessarily that either side is moving too slowly, but that technology is advancing faster than many organizations can safely adapt.
Kramer highlights several ways vendors and customers can close this gap:
- Start with business outcomes. Focus on improving measurable results, such as manufacturing throughput, inventory availability or service efficiency, rather than simply adopting more features.
- Check readiness before expanding AI. Reliable data, clear ownership, security and governance are essential before AI can be trusted to make recommendations or take action.
- Connect ERP expertise with industry knowledge. Vendors understand their software, while customers understand their daily operations. Bringing those perspectives together can reveal where existing capabilities are underused or manual workarounds persist.
- Make adoption continuous. Successful ERP use doesn’t end at go-live. Organizations need ongoing guidance, regular reviews and a plan for deciding which capabilities to adopt next.
- Expand AI authority gradually. Begin with assistance, progress to recommendations and controlled execution, and allow AI more independence only when results demonstrate that it can be trusted.
The article also stresses that reliable technical support alone isn’t enough. An ERP system can run without problems while employees still rely on spreadsheets, manual processes and outdated workarounds. ERP innovation only creates value when organizations are ready to use it. Businesses need a clear AI strategy, trusted data and continuous adoption efforts to turn new technology into measurable operational improvements.
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