The cost of waiting on cloud ERP has changed. So should your math.

Your competitors are pulling ahead on AI right now. Not in two years. Now. And every quarter you wait to modernize your ERP, the gap gets harder to close.

Most ERP buyers know that moving to the cloud takes time, money, and organizational energy. What fewer have calculated is what it costs to wait. Not in vague terms about lost opportunity, but in the specific, compounding ways that your competitors gain ground every quarter you delay.

Eighteen months ago, you could reasonably defer cloud ERP decisions for another budget cycle. Today you cannot, because of one thing: AI.

This is not about ChatGPT. This is about AI inside your operations.

When most people hear "AI in business," they think of ChatGPT or copilots that help employees write emails and summarize documents. Those tools are useful, but they are not reshaping competitive positions.

What is reshaping competitive position is AI embedded directly into your core business processes and systems. Models that improve forecast accuracy across your supply chain. Process mining that finds workflow bottlenecks and inefficiencies your teams cannot see. Automation that takes hours of manual work out of finance, customer service, and procurement.

Take Amalthea, a leading goat cheese producer in the Netherlands. They put Infor Industry AI to work inside their core production process to automate milk yield calculations and catch variation human eyes miss, optimizing yield batch by batch. When every 1% increase in yield saves them €500,000 a year, the difference is significant. That is AI impacting ERP processes and execution, not a chatbot writing better emails. It is a process improved by AI, directly affecting the P&L.

New AI capabilities no longer arrive a few times year

Three years ago, ERP buyers could evaluate AI as a feature on a vendor's roadmap. Major new capabilities shipped a few times a year. You could compare vendors on whether they had AI, what it could do, and when it would arrive.

That window has closed. AI capabilities are now shipping every few months, weeks, or days. For organizations on aging systems, that pace matters. By the time their IT has planned, tested, and deployed an upgrade, the AI landscape has moved on and through several evolutions—giving your early adopters an advantage of efficiency, better decisions, and reduced operation costs. Without making a change now, the gap becomes even more difficult and expensive to close.

The hidden cost that most leaders miss

When leaders weigh the cost of upgrading to the cloud, they usually compare it to the cost of staying on-premise. Staying seems like a way to defer the cost. It is not.

Staying means building a seven-vendor stack around an aging ERP core: Separate tools for integration, data, analytics, RPA, security, and AI. Each adds licenses, skillsets, and integration debt. And every AI initiative built on top inherits every gap underneath, which is why so many AI pilots stall before reaching production.

And it is difficult to quantify the competitive ground you lose while you wait. Your customers will choose a faster competitor. Your decisions will be made on stale data while a competitor's AI surfaces the right answer in seconds. None of these will show up in your costs or ROI. All of them show up in your market position.

In fact, McKinsey reports that early adopters of AI-powered ERPs are already seeing EBIT improvements of 5% or more. Ring Container, a US plastic container manufacturer, shows what that number looks like in practice. They used Infor Industry AI and Enterprise Automation to take $177,000 and 12,000 hours of manual work out of the business—every year. That is the AI dividend leaders are already collecting while everyone else is still building a business case.

Why falling behind on AI compounds faster than you think

Compounding works both ways. The companies pulling ahead are not just using more AI. Each cycle builds on the last. Their teams adopt faster because the platform delivers continuous improvement. Their data gets cleaner because AI prepares it as part of every cycle. Their agents get smarter because they have more context to work from.

Companies waiting are not standing still. They are falling behind at an accelerating rate while the leaders speed up.

What this means for your next cloud ERP decision

If you are evaluating cloud ERP, the AI question is no longer a separate question. The solution you choose decides your competitive advantage. The good news: Wherever you are in your journey, you can start now.

• If you are on-premises, you do not have to wait until you are in the cloud to put AI to work. The right partner can help you start with AI today while you plan your upgrade path.
  
• If you are planning your move, AI should be deployed at go-live. The work to prepare your data and identify your highest-value use cases starts before implementation begins.
  
• If you are already in the cloud, AI can deliver value today against the workflows your teams already use. The question is no longer if, but how fast and which use case will have the highest impact.

The math is not going to slow down to wait for you. The companies pulling ahead are the ones who stopped debating their next move and started making it.

Join us to go deeper: Find out how to capture the advantage of AI before your competitors do

Join us on June 25 at CET time 10am ET/3PM BST for a 45-minute webinar on what falling behind on AI actually costs and how to choose a platform that captures value from day one.
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