Enterprise resource planning (ERP) systems are often pitched as game-changers for finance transformation. But as Miles Ewing, principal, Finance & Performance at Deloitte Consulting, reports in The Australian, around 70% of finance leaders say their ERP initiatives have been slower or less impactful than expected. Why the gap? Ewing’s interviews with 26 CFOs suggest a key reason: unclear or unmeasured finance goals. Projects that focused on specific, measurable outcomes—like cost reduction or enabling M&A—delivered real value. But vague goals such as “reducing manual effort” or “improving analytics” were often deprioritized in favor of hitting go-live deadlines. In many cases, the urgency to launch on time meant finance priorities were sidelined. Some CFOs admitted they had no way to quantify whether finance actually improved post-implementation. Other recurring issues included poor-quality data from upstream functions, limited system scope, and lack of change management. Even with modern ERP systems, teams often reverted to manual processes due to these gaps.

Ewing identifies three persistent challenges:

  1. Finance is broad, but ERP systems often cover only slices like accounting.
  2. Finance depends on external data, which tech alone can’t fix.
  3. Transformation needs policy/process change, not just new systems.

The lesson here is without clear goals, cross-functional coordination, and strong change leadership, ERP investments may not deliver the finance transformation CFOs expect.

(This is part one of a two-part series. The next article explores how CFOs can lead more successful transformation efforts.)

 

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In a recent Forbes article, Robert Kramer of Moor Insights & Strategy explores how enterprise resource planning (ERP) is undergoing a transformative shift—from static systems of record to intelligent, autonomous ecosystems powered by AI agents. Traditional ERPs rely on manual inputs and scheduled processes. But today’s fast-paced business environment demands systems that respond instantly to change. That’s where event-driven architecture comes in: instead of waiting for user actions or batch jobs, ERPs can now react in real time to business events like inventory shortages or shipment delays. Even more revolutionary is the rise of agentic AI—autonomous, goal-driven software agents that can execute tasks, follow business rules, and collaborate across systems. These AI agents don’t just assist; they act. For example, an ERP agent might automatically reorder supplies, coordinate with a logistics agent, and even negotiate delivery timelines—without human involvement. This “agents-talking-to-agents” model transforms cross-platform integration. Rather than relying on rigid APIs, systems can dynamically exchange intent and actions. The result? Faster operations, fewer errors, and more adaptive business processes. Kramer also highlights how this model supports modular innovation. Specialized AI agents can enhance ERP functionality—like sustainability tracking or visual quality inspections—without bloating the core platform. Of course, there are challenges: governance, data quality, legacy systems, and workforce shifts must be managed carefully. But for businesses ready to embrace it, agentic, event-driven ERP offers faster decision-making, streamlined operations, and a significant competitive edge.

 

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Problem:

When I click on the LBI bookmark in my Lawson screen, I get an error message stating the URL redirected you too many times. This only happens when using the EDGE browser. It did not happen in Chrome.

 

Resolution:

Open settings in EDGE and go to Cookies and site permissions>>Cookies and data stored>>Cookies and site data and make sure the Block Third-party cookies is not off.

Turn on the following:

Now refresh cache and clear your cookies.

Note: adding any exceptions may cause the same issue, so make sure to remove any exceptions under Allow or Clear on Exit.

In a recent article from IoT Business News explores how IoT-enabled ERP systems are transforming supply chain visibility and performance. Despite widespread digitalization, many businesses still struggle with fragmented data and slow responses to disruptions. IoT-driven ERPs are solving this by feeding real-time sensor and machine data directly into enterprise workflows.

These systems enable predictive maintenance, real-time inventory tracking, automated replenishment, and immediate anomaly detection. The result is smarter, faster decision-making and significantly reduced downtime. Unlike traditional ERP platforms—which aren’t built to process high-frequency IoT data—modern IoT-native ERPs handle complex, real-time information seamlessly.

Industries like manufacturing, logistics, energy, and agriculture are already leveraging these tools to improve traceability, automate workflows, and support sustainability goals. As operations trend toward autonomy and AI integration, IoT-enabled ERP systems are becoming essential for staying competitive in a dynamic market.

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Often our Lawson print queues get cluttered and out of hand.  Lawson’s deljobhst command is a really great tool for cleaning up your batch jobs.  It can clear the clutter from your user’s print managers, as well as free up some space on your server.  Run this command in LID.

For each of these commands, you must provide a “ToDate” in MMDDYY format.  So, if you give it an end date of 033119, for instance, you would delete all the selected job history up to March 31, 2019.

You also have the option of providing a user’s account so that you just perform the delete for a specific user.  There is also a from date option that allows you to manage job history for a specific date range.

We recommend setting up some of these commands on a schedule to keep your Lawson server happy & healthy.

Here is a summary of the command:

The -w option will delete all waiting jobs, so jobs in recovery and jobs with Invalid Parameters.  After you run this, there will not be any jobs listed in the waiting queue for the specified user (or all users) up to the specified run date.

The -c option deletes all completed jobs.  This is a great way to clean up user’s job schedule print manager lists.  This action removes the data from the QUEUEDJOB table.  It does not remove print files.

The -r option removes all the print files associated with batch jobs, that were created up to the specified to date.  This will help keep your server from getting too cluttered.  Make sure you back up your print directory, especially if you have a retention policy at your organization.  If you run the command so that it deletes ALL print files (so delete everything up to today), it will delete your entire print directory.  Don’t panic!  It’ll be created the next time a user runs a batch job.

ERP (enterprise resource planning) transformations promise streamlined operations and smarter decision-making—but only if the data powering them is accurate and reliable. As Shiv Kaushik, Chairman & CEO of ICCG, explains in his Forbes article, data migration is often undervalued, yet it’s one of the biggest risks to ERP success. Many organizations enter ERP projects with fragmented, duplicated, or outdated data. Treating migration as a technical task—rather than a strategic priority—leads to delays, cost overruns, and broken business processes. Successful ERP projects treat data migration as a business-critical initiative. This involves executive sponsorship to prioritize clean, reliable data, cross-functional collaboration between IT and business teams, and strong data governance and use of automation tools.

To reduce risk and drive value, Kaushik advises:

  1. Assess current data sources and systems

  2. Establish governance early in the process

  3. Clean and standardize data before migration

  4. Automate testing and validations

  5. Engage end users in testing, not just IT

  6. Train users on new data structures and tools

ERP success depends on data readiness. When data migration is led strategically—with the right focus and leadership—it becomes a powerful enabler of long-term value, not just a project hurdle.

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As more small and midsize businesses (SMBs) outgrow traditional enterprise resource planning (ERP) systems, Managed Services Providers (MSPs) have a powerful opportunity to step in with a smarter solution: SAP Business ByDesign (ByD). In his article for ManagedServicesJournal.com, technical director Atit Shah highlights how this cloud-first ERP solution is ideal for fast-scaling businesses—and for MSPs ready to offer more value. SAP Business ByDesign, for example, brings together finance, HR, CRM, supply chain, and project management in a single, modular platform. With built-in analytics, AI-powered automation, and a scalable foundation via SAP HANA, businesses gain real-time insights and operational efficiency. For MSPs, ByD means recurring revenue and strategic partnerships. From implementation to training and performance monitoring, the cloud-native model simplifies support while enabling ongoing services. Its open APIs and evolving AI features ensure it grows alongside client needs. More than an ERP system, SAP Business ByDesign is a foundation for smart, sustainable growth. And this is just one major player. Expect other ERP powerhouses like Oracle or CloudSuite to follow a similar path. For MSPs looking to stay ahead, it’s the right tool at the right time.

 

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There are times that Infor support will ask for a .cbl of a program in your Lawson system.

 

When working with Infor Lawson systems, you may encounter situations where Infor support requests a .cbl file for a specific program. This is because .cbl files contain the source code for programs written in COBOL, a language commonly used in business software like Lawson.

Why Infor Support Might Ask for a .cbl file:

  • Troubleshooting Program Errors: If a Lawson program is not functioning correctly, providing the .cbl file allows Infor support to examine the source code to identify and diagnose the issue.
  • Investigating Program Behavior: The .cbl file helps Infor support understand the program’s logic and how it processes data, which can be crucial for resolving unexpected behavior or performance problems.
  • Analyzing Customizations

 

Resolution :

At the command prompt, type bldsh productline system code program

Example: bldsh test IC IC130

This will create a .cbl in your LAWDIR/productline/xxsrc directory.

ERP (enterprise resource planning) systems aren’t disappearing—but AI is dramatically reshaping how we use them. In a recent piece for CIO.com, senior writer and IT journalist Grant Gross explores how generative AI and embedded copilots are transforming ERP from a static system of record into a dynamic, intelligent assistant. Tasks like invoice processing, reconciliations, and financial reporting—traditionally labor-intensive—are now being automated with the help of AI. Vendors like SAP (via Joule) and Microsoft (via Copilot) are already deploying tools that summarize procurement, create reports, and interpret data using natural language. This shift doesn’t eliminate ERP. Instead, it enhances it. AI acts as a productivity layer, freeing teams from repetitive tasks so they can focus on strategic analysis and decision-making. At IBM, Gross uses for example, AI agents now flag billing errors, draft board reports, and summarize account variances—boosting both efficiency and margins. What’s emerging is a more modular, AI-driven ERP ecosystem. Task-specific agents will interact with ERP data behind the scenes, leaving the core system in place but changing how users experience it. The ERP becomes the reliable data source; AI becomes the interface. In short, Gross states that ERP is staying, but your interaction with it is about to look and feel very different—so be prepared.

 

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Many Lawson screens have comment buttons that open a drill-around screen with different comment types.  If you have ever wished to query these comments for reporting or other user interfaces, you may have noticed that they are difficult to find.  Infor has “hidden” them in tables with the “L_H” prefix.  This is the “header” for the comment.  If there are any details that spill over the available characters in the commend, there will also be a record in the corresponding L_D table.  The naming convention is “L_HXXX” or “L_DXXX” where “XXX” is the prefix of the table that feeds screen where you add the comments.  For instance, Requisition Header comments can be found in “L_HRQH” and “L_DRQH”.  Join the comments to your main record using the “L_INDEX” column in the parent table.