Blogs

Security
The Great Divide: How To Address Security Concerns About AI and ERP Tools
AI is entering ERP systems through vendor code, third-party tools, and agents faster than security teams can assess it. New survey data shows where security objections come from and what visibility and controls CISOs need to support continued adoption.
Worker facing abstract AI image
Analytics and AI
IFS Loops Moves From AI Insight to Enterprise Execution
IFS Loops brings agentic AI closer to operational execution through Digital Workers that act within enterprise workflows. As manufacturers expand AI automation, trusted data, decision rights and measurable business outcomes will determine how much authority these systems earn.
Analytics and AI
Is the Autonomous Enterprise the Future SAP Customers Want?
In May 2026, SAP announced its Autonomous Enterprise vision, featuring new AI capabilities and agents designed to transform business operations, yet customer enthusiasm has shifted to concerns about governance, cost, and the uncertain timeline for AI integration, highlighting a disconnect between market expectations and the cautious approach adopted by organizations within the SAP ecosystem.
Abstract digital brain with glowing circuits, representing artificial intelligence and cybersecurity.
Analytics and AI
AI and Cybersecurity: Faster Attacks, Smarter Defense, and Agent Identity Risk
AI is compressing the time attackers need to exploit known weaknesses while adding software agents that can act inside enterprise systems. This explainer examines how AI is changing threats, defense, identity and security governance in SAP environments.
Abstract digital brain with glowing connections, representing AI and process automation for enterprises.
Analytics and AI
How AI Is Changing Enterprise Process Automation
AI-driven automation extends rules-based workflows into processes that involve changing context, exceptions, and judgment. Enterprises must align agent autonomy with governed data, permissions, human oversight, and process-level performance measures.
Abstract illustration depicting interconnected nodes and data streams, symbolizing enterprise AI adoption and scalability challenges
Analytics and AI
AI Adoption Is Widespread, but Scaling It Is Not
Enterprise AI use is growing faster than the operating models needed to turn it into measurable value. Scaling requires workflow redesign, shared ownership, selective use-case investment, and outcome-based measurement.
Analytics and AI
When Enterprises Should Build, Buy, or Partner for AI
AI is lowering the cost of building custom software while vendors embed AI into packaged applications. Enterprises now need to decide workload by workload whether to build, buy, or partner, based on lifetime cost, data control, and risk.
ERP Strategy and Planning
What ERP Support Deadlines Actually Mean for Companies
SAP, Oracle, and Microsoft set very different ERP support timelines. SAP's 2027, 2030, and 2033 dates determine when customers must decide, but the right path still depends on migration effort, architecture, and a business value case.
Cloud Platform and Technology
Having It Both Ways: How Hybrid Cloud Control and Orchestration Achieve Reliable, Resilient Enterprise Ops
Hybrid cloud orchestration gives enterprises a way to coordinate legacy, SAP and cloud-native environments without sacrificing reliability or control. AI-powered automation is expanding that model by improving workload management, resilience and operational visibility.
Manufacturing worker in a yellow hard hat and safety glasses operating a control panel alongside a translucent AI humanoid agent, both reviewing a holographic ERP and production dashboard on a factory floor, illustrating manufacturing AI execution and human-agent collaboration
Analytics and AI
How Midmarket Manufacturers Are Moving AI From Experimentation Into Execution
Robert Kramer of KramerERP examines how QAD, Redzone and ChampionAI are helping midmarket manufacturers move AI from experimentation into execution, with customer results ranging from a 93% changeover reduction at Sauder to a 90% cut in RFQ creation time at KION.
Analytics and AI
Agentic AI in Finance: Why Autonomy Must Be a Risk Decision
Agentic AI promises to move finance beyond scripted automation, but greater autonomy does not automatically mean better outcomes. Finance leaders need to assess where agents can act independently, when humans should intervene, and how every decision can be governed and explained.
Neon highway sign reading "AI Adoption Speed: Unlimited" over a digital motorway, symbolizing Infor forward-deployed engineering accelerating AI into ERP execution
Analytics and AI
Infor Uses Forward-Deployed Engineering To Move AI Into ERP Execution
Infor is pairing forward-deployed engineering with its AI Adoption Hub to move AI from feature availability into ERP execution. The four-week deployment claim gets attention, but reuse, governance and measurable operating improvement will decide whether the model scales.
ServiceNow and KPMG logos merge within an abstract, interconnected digital network, symbolizing HR transformation collaboration
Analytics and AI
When the Vendor Becomes the Customer: What KPMG and ServiceNow Are Testing in HR
KPMG will implement ServiceNow's own global HR rollout while expanding its internal use of the ServiceNow AI Platform, creating a two-way reference deployment. The alliance turns HR service delivery into a live test of governed agentic AI operating above the ERP.
Hangzhou East Railway Station in China, illustrating the rise of Chinese AI models in enterprise ERP.
Analytics and AI
Chinese AI Models Are Changing the Economics of AI in ERP
Chinese AI models such as DeepSeek, Qwen, and Kimi are giving European enterprises lower-cost, open-weight alternatives to US providers. Their rise could change the economics of embedding AI into ERP while increasing pressure on vendors to support more flexible, multi-model strategies.
Carbon-fiber server enclosure projecting a holographic dashboard of neural networks, vector waveforms, and analytics charts, illustrating in-database AI and enterprise RAG running directly on an Oracle EBS core without cloud migration.
Data and Data Management
The Oracle EBS Paradox: Why Bringing AI to the Core Doesn’t Require a SaaS Migration
For a decade, executives have been sold a singular narrative: innovation lives exclusively in the cloud. To unlock machine learning and agentic AI, the argument goes, an enterprise must abandon its on-premise ERP and migrate to SaaS. For mature enterprises...
Two business professionals, a man and a woman, shaking hands in a modern, sunlit office setting, symbolizing partnership and agreement.
Business Process Management and Automation
Bond Consulting Services Absorbs Mount Evans Consulting: What the Deal Means for Business Central Customers
Bond Consulting Services has brought Mount Evans Consulting into the firm, combining two Business Central partners as Microsoft's NAV end-of-sale date and AI roadmap push boutique Dynamics consultancies to consolidate. Here is what Dynamics customers can expect.
SAP logo subtly integrated into a digital network, signifying robust enterprise core stability.
Enterprise Architecture
Stable Core, Movable Edges: What SAP’s Vercel Partnership and Tirlán’s Nine-Month Carve-Out Have in Common
SAP's new Vercel partnership and Tirlán's nine-month SAP carve-out from Glanbia look unrelated, but both follow the same architectural pattern: keep the SAP core stable, isolate the layer that must move, and rehearse the change before it reaches production.
Circuit board with a glowing green AI processor chip representing the AI intelligence Oracle is embedding in Enterprise Manager for database performance management
Data and Data Management
Oracle Is Teaching Enterprise Manager to Explain Itself, and Database Operations May Never Look the Same
Oracle is evolving Enterprise Manager into an AI-powered operational intelligence platform, pairing deterministic AWR and SQL analysis with conversational AI so broader teams can diagnose the database problems behind ERP slowdowns.
Glowing blue ring encircling a miniature smart factory with robotic arms, conveyor lines, and a live operations dashboard, surrounded by dark legacy gears and machinery, illustrating the IFS Loops concept of organizational memory as the competitive moat in Industrial AI
Analytics and AI
Why Organizational Memory Is Becoming Manufacturing’s Last Defensible Asset
IFS Loops CTO Ravi Bulusu argues that when AI agents execute the work applications once mediated, only two assets remain defensible: organizational memory and process intelligence. With 60% of IFS agentic transactions now fully automated, manufacturers need to decide what stays inside the firewall.
Three Sauder Woodworking frontline workers in safety vests review a Redzone Connected Workforce leaderboard displaying real-time line performance scores and OEE data on the factory floor
Analytics and AI
Sauder Woodworking Cuts Changeover Time by 93% with Redzone’s Agentic AI
Sauder Woodworking cut average changeover time by 93% and lifted productivity 40% in its first year using ChampionAI, the agentic AI layer in Redzone's Connected Workforce Solution. A Nucleus Research study confirmed a 665% ROI with a seven-month payback.
Executives in a boardroom watch a presentation of a holographic AI agent floating in a sphere while a translucent cube of interconnected data blocks and a glowing circuit network labeled 5% agent span the table, illustrating the agentic AI gap between the agent and its ERP data foundation
Analytics and AI
When the Vendor Says the Agent Is Only 5%: What Infor’s Hospitality Candor Reveals About the Agentic AI Gap
Infor's two July blogs concede that AI features have commoditized, adoption failures are costly, and the agent is only 5% of the work. What that candor reveals about the agentic AI gap, and where the argument ends.
types of ERP systems
Enterprise Architecture
ERP Systems Explained: A Practical FAQ for Buyers
Cloud ERP, SaaS ERP, hybrid ERP, composable ERP, AI-native ERP, and agentic ERP are often discussed interchangeably, but they describe very different technology models. This ERP Today guide explains the major ERP deployment, architecture, industry, and intelligence categories enterprise buyers need to understand.
Magnifying glass examining holographic AI dashboards above a robotic manufacturing production line, symbolizing scrutiny of agentic AI claims in ERP platforms from SAP, IFS, Epicor, QAD, and Syspro
Analytics and AI
AI Reality Check: Separating Agentic Claims from Manufacturing Substance
Agentic AI announcements now arrive weekly from SAP, Epicor, QAD, Syspro, IFS, and Oracle, but delivered functionality follows a very different schedule. A five-point scorecard shows which manufacturing ERP claims stand up to evidence and which remain adjectives.
SAP S/4HANA migration in pharma
Application Development and Integration
Why Integration, Not AI, May Be the Most Important Factor in Pharma’s ERP Journey
As AI dominates SAP transformation headlines, pharmaceutical organizations remain focused on a more fundamental challenge: creating integrated, governed, and audit-ready ERP environments. New research suggests integration maturity, cloud architecture decisions, and regulatory readiness continue to drive SAP S/4HANA migration priorities across life sciences organizations.
AWS agentic AI SAP ERP exceptions - MCP agentic ERP infrastructure with AgentCore
Application Development and Integration
AWS Is Giving SAP Agents a Rulebook for ERP Exceptions
AWS has introduced an Agentic Standard Operating Procedures framework that gives AI agents a rulebook for resolving SAP ERP exceptions—reading approved procedures, acting on live SAP data via Amazon Bedrock AgentCore, escalating high-risk cases to humans, and logging every step for full audit compliance.
Bicycles parked in front of SAP office in Europe.
Systems Administration
SAP’s EU Settlement Gives On-Premise Customers More Room to Maneuver
SAP has resolved a European Commission investigation by committing to more flexible maintenance and support policies for on-premise ERP software, enhancing customer choice and alleviating competition concerns without impacting its cloud offerings.
ERP Strategy and Planning
What Does It Take to Win the Next Energy ERP Cycle? SAP, Oracle, IFS, Infor Offer Different Answers
Excerpt: SAP, Oracle, IFS, and Infor are offering different answers to the next energy ERP cycle as oil, gas, utilities, renewables, and energy services companies modernize around assets, field execution, AI, and changing operating models.
ERP AI readiness gap after S/4HANA migration - digital brain with question mark on enterprise data dashboard
Analytics and AI
ERP AI Readiness FAQ: Why SAP S/4HANA Migration Alone Will Not Get You There
Most ERP teams treat S/4HANA go-live as the finish line for transformation—but it is only the starting line for AI readiness. This FAQ explores why migration alone is not enough, what data and cloud foundations are missing, and how ERP leaders can build the architecture required to move AI from pilot to production.
service-centric ERP
ERP Strategy and Planning
Why Unit4 Keeps Showing Up on the ERP Shortlist
Unit4’s latest ERPx moves show why the vendor keeps appearing in shortlists for service-centric organizations. Success4U, DataHub, and FIX sharpen its pitch around deployment predictability, governed analytics, and ERP built for people- and project-driven operations.
Governance, Risk, and Compliance
AI Made Code Faster—Tricentis Says Quality Teams Are Falling Behind
Tricentis’ 2026 Quality Transformation Report shows that AI has accelerated software creation faster than many organizations can validate it, turning quality engineering into a boardroom issue for ERP and enterprise application leaders.
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