Each Process Automation user has an Inbasket that is accessible through Infor Smart Office. Your Inbasket contains tasks that have been assigned to you, as well as the user’s information.

 

Problem:

Users’ name changed but is not reflected in Inbasket. (See screen shot below for example)

 

Resolution:

In Infor Security Services (ISS), the Preferred Given Name is listed as “Linda”. The value can be updated in this section if the person has changed their name (or if for some reason the name is wrong or misspelled).

Once you edit the “Given Name” field, save your changes. The name displayed should now be the correct one.

 

The Super Bowl has always been a snapshot of where technology is headed, and this year’s ads made one thing very clear: AI isn’t “coming soon” anymore — it’s already part of the job. Beneath the humor and big-name cameos, the tech commercials at Super Bowl 2026 reflected shifts that enterprise IT leaders are dealing with right now.

 

AI Is Becoming Part of the Foundation

Many of the tech ads framed AI as something you don’t really notice — it just works in the background. That idea should sound familiar. Today’s ERP, CRM, and analytics platforms increasingly rely on AI to automate processes, surface insights, and support better decisions. The takeaway is simple: AI works best when it’s built into core systems, not bolted on as an afterthought.

 

Trust Matters More Than Ever

A few ads leaned into competition between AI vendors, but the underlying theme was trust. As organizations roll AI deeper into business operations, questions about data usage, governance, and transparency are front and center. This directly affects ERP modernization, application upgrades, and AI-enabled reporting, where knowing how data is handled is just as important as what the technology can do.

 

Behind Every Smart Experience Is Solid Data

The most memorable ads focused on outcomes — solving problems, saving time, making life easier. What they didn’t show was the work happening behind the scenes. Clean data, reliable integrations, and scalable storage are what make AI possible in the first place. That’s why data migration, application retirement, and archiving aren’t just cleanup efforts — they’re strategic enablers.

 

Security Is Assumed, Not Optional

Cybersecurity wasn’t always called out directly, but it was implied in every promise of reliability. As systems become more connected and AI-driven, the need for strong security, monitoring, and managed services only grows.

 

The Takeaway

By next year the ads will fade, but the ongoing message won’t: AI is now part of the enterprise baseline. Organizations with modern ERP platforms, strong data foundations, and secure, well-managed environments will be in the best position to turn all that AI buzz into real business value.

User Excel Add-ins Issue Summary:

User can no longer query Lawson data and ruled out that it is NOT a Lawson add-ins version issue. Follow the steps below to see if this resolution helps.

 

  1. First, we had to enable add-ins from disabled items, File >> Excel Options >> Add-ins >> Manage “Disable Items” >> Go, then select and enable.

  1. Then in Excel Options >> Add-ins >> Manage “Com Add-ins”, enable Lawson MOA (Acrobat PDFMaker in the past has caused issues, so disable if it does, we left it enabled and it worked)
  2. This initially fixed the issue, everything worked.

However, when the user restarted Excel app, they had to re-add it in COM Add-ins every time. If this happens to you, go to step 4, else you’re done!

  1. Optional if having issues after step 3: Running Excel as Administrator fixed the issue in step 3, but since it’s now under the “admin account”, accessing add-ins scripts prompted share folder permission issues from Excel:

What we tried: adding folder permissions for the user to C:\Program Files(x86)\Lawson Software and \Microsoft Office folder permissions. This did NOT work.

  1. Optional if having issues after step 3: Last thing that resolved the issue was updating the registry manually.
    1. Open REGEDIT
    2. Go to HKEY_CURRENT_USER\Software\Microsoft\Office \Excel\Addins\<YourAddinName> (In our case, it was named Lawson MOA Add-ins)
    3. Select Lawson MOA Add-ins, on the right of regedit select “LoadBehavior”
    4. Set the LoadBehavior value to 3 (Load at Startup)
      1. Other values include 0 = Unloaded, 1 = Loaded Manually, 2 = Load on demand

After step 5, add-ins tab appeared when the user opened Excel normally, everything worked from there on out.

ERP (enterprise resource planning) is evolving fast, and 2026 is shaping up to be a pivotal year for IT leaders, sysadmins, and HRIS teams. In a TechTarget article, tech expert Rahul Awati highlights six key trends that CIOs, CFOs, and operations leaders should plan for:

  1. Agentic AI – AI is becoming embedded in ERP workflows to improve forecasting, automate tasks, and reduce risk. Supply chain leaders can make faster, smarter decisions, but teams need to manage potential issues like data privacy and accuracy.
  2. ERP Data Architecture Readiness – AI relies on clean, consolidated, and well-structured data. Fragmented or siloed datasets across departments can limit insights and reduce ROI, making data foundation a priority.
  3. Cloud ERP Adoption – Vendors are phasing out on-premises solutions, pushing organizations toward cloud ERP. Benefits include lower operational overhead and vendor-managed updates, but IT teams must navigate less flexibility and complex pricing.
  4. Composable ERP – Modular ERP allows organizations to mix, match, and customize components, even from different vendors. This flexibility accelerates adaptation to new technologies but usually requires some cloud adoption first.
  5. Supply Chain Visibility – AI, IoT sensors, predictive analytics, and digital twins are improving transparency across the supply chain, helping leaders anticipate demand and reduce risks, though data quality and partner collaboration remain crucial.
  6. Supplier Relationship Management – Strong supplier management improves efficiency, reduces risk, and optimizes transactions. Centralized communications and structured relationship plans are key to keeping supply chains resilient in uncertain markets.

Awati’s insight can be concluded that 2026 ERP planning isn’t just about technology—it’s about aligning systems, data, and processes to support agility, risk reduction, and AI-driven decision-making.

 

For Full Article, Click Here

Artificial Intelligence (AI) is quickly becoming less of a futuristic concept and more of a practical business partner—especially when it comes to planning and forecasting. In a recent article on WebProNews by Juan Vasquez, he explores how artificial intelligence is transforming enterprise planning by integrating directly into enterprise resource planning (ERP) systems and changing how companies make decisions. Traditionally, ERP platforms handled core functions like finance, inventory, and operations, but they were largely reactive. With AI built in, those systems are becoming predictive. Machine learning models can now forecast demand, flag financial anomalies, optimize supply chains, and simulate “what-if” scenarios in real time. Instead of relying on static spreadsheets, leaders get living models that adapt as new data comes in. What’s especially interesting is how accessible this technology has become. Cloud-based AI tools are giving small and mid-sized businesses access to advanced planning capabilities that once required massive budgets. Manufacturers are using AI to predict equipment failures before they happen, while retailers adjust inventory based on real-time sales trends and customer behavior.

Looking ahead, Vasquez highlights the rise of “agentic AI”—systems that don’t just analyze data but take action. These AI agents can generate forecasts, monitor reports, and even suggest strategic changes on their own. While challenges like data privacy and legacy system integration remain, the direction is clear. AI-powered ERP is shifting enterprise planning from reactive reporting to proactive strategy—and companies that embrace it will be better positioned to compete in a fast-moving, data-driven world.

 

For Full Article, Click Here

If you need to change the account that owns smart notes and/or the notifications, you can execute a mass change using the database.  Open your LBI database server using a database editing tool.  Then, run a query against your Smart Notes db (often called “LawsonSN”).

First, get the IDs for your current owner and the new owner from ENPUSERMAP.  You should be able to search on the username and grab the numeric id from there.

Next, make an update to the ENPBATREE.  Set the entry owner to the new id where it is set to the current id.  The query will look something like this (in this case, current owner is id 5 and new owner is id 3):

update ENPBATREE set ENTRYOWNER = 3 where ENTRYOWNER = 5

That’s it!  Now, when you log into Smart Notes as the new owner, you will see all the notifications!

 

Enterprise resource planning (ERP) is no longer just the system that quietly runs in the background—it’s about to become an active participant in how work gets done. In an InformationWeek article, Myles Suer, CEO analyst and tech journalist, makes the case that 2026 will be a turning point for ERP as agentic AI becomes part of mainstream implementations. For IT leaders, this shift should feel both familiar and disruptive. As Suer explains, ERP has always been about standardizing processes and improving visibility across finance, HR, supply chain, and operations. Agentic AI builds on that foundation by introducing autonomous “digital workers” that can manage entire workflows, prioritize tasks, and even learn from outcomes. For many organizations, ERP will be the most practical place to introduce agentic AI—especially for teams already running large, integrated platforms.

What’s changing is the role of the system itself. Instead of users driving every action, agents will increasingly handle things like invoice processing, forecasting, inventory adjustments, recruiting workflows, and Level 1 employee or customer support. As Suer notes, this doesn’t replace ERP—it transforms it, shifting systems from passive tools into something closer to an intelligent workforce. Suer also keeps the message grounded. He outlines eight clear priorities for CIOs and IT leaders, including engaging vendors early on their agentic roadmaps, defining human-in-the-loop controls, addressing data quality gaps, and embedding governance and security from day one. Change management and skills planning are just as critical, especially for sysadmins and HRIS teams who will live with these systems day to day. The real decision ahead, Suer argues, is whether organizations use agentic AI to fine-tune existing processes—or take the bigger step toward rethinking how work actually gets done.

 

For Full Article, Click Here

Follow these steps to update a user’s Database and User Roles via Infor Lawson Cloudsuite:

  1. Login to your concierge account and go to Cloudsuite app (this assumes you have access to this else open a ticket with Infor).
  2. Create a Service Request
  3. Select Deployment and Request Type: SQL Manage User
  4. Select Database Server and in the drop down select Modify User
  1. Enter username, the new database, and new role for the user, then click Submit

 

All done! Validate with the user. If this is something you’re need assistance managing, Nogalis offers a team of Lawson specialists within a single MSP services contract for customers. Let us know if we can assist you today.

 

Enterprise Resource Planning (ERP) often gets framed as a technology decision, but at its core, it’s really about how a business runs. In a Forbes article by Deanna Laster, Forbes Council member and CEO of DeannaMichel, ERP is positioned as an operational framework first—and software second. As organizations grow and adapt to shifting markets, leaders face increasing complexity across finance, people, data, and decision-making. That complexity is what’s driving renewed interest in ERP. Rather than solving isolated problems, ERP brings structure and discipline to how core functions—from finance and HR to supply chain and customer management—work together as one system. A key theme in the article is the importance of starting with the business, not the technology. Many issues that look like “tech problems” are actually operational ones: manual processes, disconnected data, inefficient workflows, or limited visibility. Assessing business needs first helps leaders clarify what truly matters, where standardization is required, and what capabilities will be needed to compete in the future. This assessment step is critical before selecting any system. It helps organizations avoid unnecessary complexity, overspending, and disruption by clearly separating essential requirements from nice-to-haves and ensuring new tools align with long-term goals and existing systems. Ultimately, Laster argues that ERP should be viewed as an organizational operating system—one that supports clarity, consistency, and responsible growth. When approached through a business lens, ERP becomes a strategic enabler, helping people, processes, and information work together seamlessly in an increasingly fast-moving and competitive landscape.

 

For Full Article, Click Here

Artificial Intelligence (AI) is often described as the engine of modern business transformation—but without strong data, that engine simply won’t run. In a Forbes article by senior editor David Maclean, new research shows that for today’s C-suite, data challenges are the biggest barrier to turning AI ambition into real business results. Based on the Forbes Research 2025 AI Survey of more than 1,000 executives, the findings reveal a clear disconnect. While leaders feel confident about their AI tools and readiness, their data foundations tell a different story. Nearly 60% of executives cite data privacy and security as their top concern, with data quality—accuracy, completeness, and bias—close behind at 40%. These issues now outweigh concerns about ROI, system integration, and even regulatory compliance. The pressure points vary depending on who you ask. CMOs are the most worried about data privacy, while CIOs are most concerned with data quality. Industry differences are just as telling: financial and professional services leaders are the most sensitive to privacy risks, while energy and professional services executives report the greatest data quality challenges. What’s fueling the problem is governance. Maclean found that only 57% of respondents say they’re confident their organizations have strong data governance practices in place for AI—far fewer than those who believe they have the right tools or are ready to become AI-driven. Perhaps the biggest red flag is data experts are being left out of the conversation. Just 13% of companies involve data scientists or analysts in AI decision-making, a steep drop from last year. The message is clear: without better data discipline and the right voices at the table, AI success will remain frustratingly out of reach.

 

For Full Article, Click Here