AI in ERP

How AI Can Help Fix One-Sided ERP Contracts: New Video from Engleman Associates

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At Engleman Associates, Inc. (EAI), we’ve guided over 1,000 ERP projects since 1996, giving us deep insight into the challenges IT professionals and executives face when navigating enterprise resource planning (ERP) projects. One critical issue is the imbalance in ERP vendor contracts, which always favor the vendor and expose buyers to significant risks. Our latest video, “How AI Can Help Fix One-Sided ERP Contracts,” presented by EAI founder Mark Engleman, addresses can significantly contribute to solving this problem.

In this concise, under-three-minute video, Mark explains how to properly prompt modern AI tools to significantly speed to process to fix unfair commercial terms. By analyzing vendor terms—often scattered across multiple documents—AI can quickly identify one-sided clauses, highlight risks, and propose balanced language. This process saves hours of manual review and equips your team to negotiate fairer terms with confidence. The video also includes a template AI prompt, available in the YouTube description, to help you get started.

While AI is a powerful tool for contract analysis, it has limitations in the broader ERP selection process—a topic we explore in another video linked in the description.

Watch the embedded video to learn how AI can transform your ERP contract negotiations. View on Linked-in.

For more expert insights on ERP strategies, visit our YouTube channel or explore our resources. Have questions? Contact us directly or leave a comment on the video—we’re here to help.

Can AI Simplify Your ERP Selection? Insights from Engleman Associates, Inc.

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At Engleman Associates, Inc. (EAI), we’ve guided over 1,000 ERP projects since 1996, always prioritizing the buyer’s perspective. In our latest ERP Now video, “Can AI Help You Choose the Right ERP?”, we explore how artificial intelligence can assist in selecting or optimizing an ERP system—and where it falls short.

AI can be a useful starting point when quality data is available. For instance, it can identify ERP systems commonly used by specific industries or highlight problematic vendor contract terms when prompted correctly (see full list below of ways AI greatly helps). However, the ERP landscape is complex, with challenges like vendor misinformation, biased analyst reports, and unclear buyer requirements. These abstract variances limit AI’s ability to provide tailored, reliable recommendations.

Successful ERP selection still demands skilled buyer-seller interaction to define functional scope, rigorously test critical features, negotiate favorable terms, and choose implementers with proven expertise. At EAI, we specialize in navigating these complexities to deliver solutions that align with your business needs.

Watch the full video below to learn more about leveraging AI effectively in your ERP journey and discover practical insights from our decades of experience.

View on Linked-in

For additional resources, explore our ERP Now video series linked in the video description. Stay informed and contact EAI for expert guidance on your next ERP project.

How AI Helps

AI significantly enhances EAI ERP advisory services by providing deep insights and accelerating key activities in ERP selection and implementation control. Effective use of AI requires precise, informed queries, with results typically validated and augmented by tactical follow-up queries, and by other information sources. Below are the key areas where AI is applied in EAI ERP advisory services:

  • Generating Long List ERP Candidates: AI rapidly identifies potential ERP systems (or other business applications) based on client size, industry requirements, and system capabilities, creating an initial pool of candidate ERP. The results are cross referenced to the EAI ERP database and a final long list is generated.
  • Developing Functional Requirements for ERP Selection and Planning: AI assists in defining detailed, relevant functional requirements to screen ERP candidates and support pre-implementation planning, which can greatly improve alignment with business objectives.
  • Identifying and Screening ERP Resellers, Implementers, and Consultants: AI locates and evaluates ERP resellers, implementers, and independent consultants with specific ERP expertise, streamlining the selection of qualified partners.
  • Enhancing ERP Access Cost Control: AI helps articulate clear cost control objectives to vendors, facilitating negotiations and reducing barriers to achieving cost-effective ERP access and implementation. This again is highly dependent on proper AI inquiries.
  • Highlighting and Addressing Commercial Terms Conflicts: AI identifies default commercial terms in ERP contracts that conflict with objectives for buyer cost and commercial control, proposing precise language to address these issues. These objectives are designed by EAI, place appropriate and firm control in the hands of buyers, and this approach makes vendors directly confront various conflicts.
  • Accelerating Implementer Onboarding with Company Insights: AI leverages selected data from company discovery to quickly familiarize implementer personnel with the client’s operations, reducing the need for extensive new business process interviews.
  • Streamlining Business Process Discovery and Metrics Design: AI organizes and makes visible critical insights from the business process discovery phase, supporting effective business process and metrics design during ERP implementation.