• ERP failures stem from rushed decisions, often resulting in poor integration, unmet requirements, and costly implementation failures.
  • The hidden costs of technical debt arise from “good enough” solutions, leading to inefficiencies, frequent downtime, and high long-term maintenance expenses.
  • Neglected change management in ERP projects reduces user adoption and implementation success.
  • Relying solely on AI for software selection can produce biased recommendations and misaligned ERP solutions, requiring human expertise for balanced decisions.
  • Independent ERP consultants provide strategic oversight to avoid pitfalls, align ERP decisions with business goals, and drive long-term success.

Selecting enterprise software is one of the most consequential decisions your organization will make. The right choice can streamline operations, enhance productivity, and deliver a significant competitive edge. But rushing the process—or selecting a solution without conducting due diligence —can lead to costly pitfalls that compromise your business’s long-term success.

While promises of “fast selection” or “quick implementation” may be tempting to believe, it’s crucial to recognize the hidden dangers lurking in fast software selection.

Today, we’ll explore why you should take a strategic, deliberate approach to enterprise software decisions. From understanding whether you’re rushing the selection process to uncovering the risks of poor choices, we’ll look into the nuances that make or break your software investment.

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We have multiple software expert witnesses available for provision of reports, depositions, and testimonies.

Am I Rushing Software Selection?​

It’s natural to feel the pressure to act swiftly. A desire for quick results or the need to address a critical operational issue can lead to a hurried software decision. But rushing software selection often results in a disconnect between the chosen solution and your organization’s strategic goals.

Here are some signs you may be rushing the process:

1. Skipping Requirements Gathering

If you’re bypassing detailed assessments of your operational needs, it’s a red flag. Enterprise resource planning (ERP) systems, SCM software, and other digital tools require alignment with your processes, not just an off-the-shelf feature list.

2. Over-reliance on Vendor Demos​

Demos showcase the best features of a product in controlled environments. Making decisions based solely on these demonstrations can cause you to overlook real-world performance issues and compatibility challenges.

3. Short Timelines Imposed by Stakeholders

The pressure to meet tight deadlines is a common challenge in software selection, often stemming from stakeholder demands to address urgent business needs or align with strategic timelines.

However, fast-tracked timelines can result in overlooking key considerations such as change management, training, or integration with existing systems. A rushed selection can leave you with software that doesn’t scale, causes ERP failures, or incurs significant costs for reconfiguration.

Dangers of Rushed Software Selection

The dangers of rushing software selection extend far beyond the initial purchase. Poorly chosen software can become a drag on productivity, create technical debt, and alienate the employees expected to use it.

By prioritizing due diligence and aligning your software selection with long-term goals, you can avoid these costly consequences:

1. Poor User Experience (UX)

A system with a subpar UX is destined to struggle with adoption. Employees resist tools that are difficult to use, which diminishes the expected ROI. When software is chosen quickly, UX testing and feedback collection often get sidelined, leaving you with a solution that works in theory but falters in execution.

What’s the Impact?

  • Low Morale and Productivity: Frustrated employees spend more time troubleshooting than performing core tasks.
  • Hidden Costs: The expense of additional training or hiring consultants to address usability gaps can escalate rapidly.

2. Accumulation of Technical Debt

Choosing a “good enough” solution may meet immediate needs but often results in technical debt (hidden costs of maintaining, patching, or replacing systems that weren’t built to scale). This debt can manifest in performance issues and more.

What’s the Impact?

  • Integration Failures: ERP systems that don’t connect well with existing tools can create data silos and inefficiencies.
  • Frequent Downtime : The need for constant adjustments drains IT resources and stifles innovation.

3. Vendor Lock-In Risks​

When speed is prioritized, vendor due diligence often becomes superficial. This oversight increases the risk of signing agreements that limit flexibility. You may find yourself tied to a provider whose system doesn’t adapt to your evolving needs or whose costs escalate unexpectedly.

What’s the Impact?

  • Lack of Transparency: Vendors who oversell their capabilities during rushed negotiations can leave you with unmet expectations.
  • Exit Barriers: Contractual obligations and proprietary data formats can make switching providers an expensive and complex endeavor.

4. Underestimating Change Management​

No software operates in isolation; it reshapes workflows, team dynamics, and even corporate culture. Without sufficient preparation, employees may resist the change, leading to low adoption rates or outright failure of the software implementation.

What’s the Impact?

  • Missed Training Opportunities: Accelerated timelines often mean cutting back on user training and change management strategies.
  • Increased Failure Rates: Many ERP consulting companies cite lack of change management as a leading cause of ERP failure.

‘Do It Yourself’ Dangers: Considerations for Using AI for ERP Selection

With the promise of efficiency and precision, AI-driven tools are increasingly used to match organizations with potential software solutions.

However, relying solely on AI introduces a new set of challenges:

1. Data Quality Challenges

AI systems are only as good as the data they’re trained on. Inaccurate input data can lead to flawed recommendations.

For example, poor data hygiene can introduce or perpetuate biases, making certain software solutions appear more suitable than they truly are.Recommendations might favor vendors with extensive marketing data rather than smaller, equally capable providers. In addition, some AI systems are backed by vendors themselves, which can lead to biased recommendations.

2. Lack of Human Oversight​

While AI can process vast amounts of information, it lacks the contextual understanding needed for nuanced decisions.

For instance, AI might overlook edge cases or fail to anticipate the complexities of real-world implementation.

In contrast, experienced ERP consultants can evaluate whether a solution aligns with your broader business strategy.

3. Vendor Transparency Issues

Relying on AI tools without understanding their underlying algorithms can lead to opaque decision-making processes. You may not fully grasp why a particular solution is recommended, leaving your team ill-equipped to challenge the AI’s conclusions.

In addition, vendors recommended through AI tools may assume they’re the default choice, weakening your ability to negotiate terms with them.

Expert Tip

To mitigate these risks, organizations should treat AI as a complement to—not a replacement for—human expertise. ERP consulting companies can provide the strategic insight and industry knowledge needed to validate AI-driven recommendations, ensuring that decisions reflect both quantitative analysis and qualitative judgment.

Strategic Recommendations for Smarter Software Selection

The antidote to rushed software selection is a methodical, well-informed approach. Here are actionable strategies to guide your process:

1. Invest in Independent ERP Consultants

Our independent enterprise software consultants bring objectivity to the selection process. Our advisors are vendor-neutral and prioritize your organization’s interests, helping you avoid common pitfalls like vendor lock-in or poor integration.

2. Emphasize Change Management Early

Change management is not a post-selection activity. We encourage our clients to engage stakeholders from the start to ensure alignment. In addition, we recommend allocating sufficient time for user training and strategic communication.

3. Leverage AI with Caution

While AI can streamline certain aspects of software selection, it should be used as one input among many. Combine AI insights with the expertise of an ERP advisor to achieve a balanced, informed decision.

4. Prioritize Transparency and Accountability

Demand transparency from both vendors and AI-driven tools. Request clear documentation on how recommendations are generated and ensure all decision-makers are aligned on evaluation criteria.

Don’t Choose Software Too Quickly ​

Choosing software quickly might seem like a way to save time, but it often leads to challenges that far outweigh the initial convenience. The takeaway is clear: prioritize a deliberate, strategic approach that leverages both human expertise and advanced tools.

Partnering with independent ERP consultants and focusing on long-term goals will position your organization for success. Contact us today for a free ERP consultation.

About the author

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As Director of Panorama’s Expert Witness Practice, Bill oversees all expert witness engagements. In addition, he concurrently provides oversight on a number of ERP selection and implementation projects for manufacturing, distribution, healthcare, and public sector clients.

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