Editor’s Choice

Black-and-white symmetrical footbridge representing data independence and enterprise AI readiness
Analytics and AI
Enterprise AI Readiness Through Data Independence and Business Context
Enterprise AI needs the business context behind ERP records, and that context often sits inside the applications that created it. Data independence keeps that context governed and available to AI after source systems are migrated or retired.
Autonomous Enterprise
Analytics and AI
SAP Pushes the Autonomous Enterprise from Vision to Reality, But Adoption Still in Infancy
At SAP Connect 2026, the company presented its Autonomous Enterprise vision, showcasing advancements in AI-driven business processes while acknowledging that widespread adoption remains limited and emphasizing the need for foundational data readiness and robust governance frameworks for successful implementation.
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.
Christian Klein, CEO of SAP at Sapphire
Analytics and AI
SAP Enters Payments as Joule Assistants Expand Across Every Line of Business
SAP has launched new AI-powered Joule Assistants across various business functions as part of its Autonomous Enterprise vision, aimed at automating critical workflows and enhancing operational efficiency, with the broader goal of integrating intelligence throughout organizations, despite some assistants not being available until 2027.
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.
Blurred train in motion illustrating the accelerating pace of AI cyber risk and enterprise security threats.
Security
AI Warnings Merit a Second Look at the Risks Businesses Are Willing To Carry
AI-enabled cyber threats are becoming faster, cheaper and easier to scale. As evidence accumulates, businesses may need to revisit security assumptions embedded in ERP migrations, AI deployments, and other technology investments.
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.
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.
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.
Financial Management
Why Finance’s AI Advantage Depends on Governance, Evaluation, and Control
AI adoption is accelerating across finance, but deploying more tools does not automatically improve financial control. Sustainable advantage depends on continuous evaluation, explainability, human oversight, and governance infrastructure that can detect failures, model drift, and emerging risks as AI scales.
Governance, Risk, and Compliance
The Two-Year Materiality Cycle Is Quietly Becoming a Liability
Two-year materiality cycles can leave companies working from outdated assumptions. Novisto’s Nick Sanscartier explains how connected, technology-enabled materiality workflows can make ESG assessments more continuous, traceable and audit-ready without replacing human judgment.
Analytics and AI
Why Frontline Trust Will Determine the Success of UK Government AI
Civiteq Managing Director Edward Pearson argues that UK government AI will succeed only if public sector leaders make frontline trust, adoption and change management central to transformation.
Modern office buildings representing ERP accounts payable integration and embedded payment workflows
Financial Management
Why Isn’t Your ERP System Paying Off? The Answer May Be Hidden in AP
Priority Commerce finds that fragmented accounts payable workflows are preventing organizations from realizing the full value of their ERP systems, making deeper AP integration, embedded payments, and workflow adaptability increasingly important.
Mawared MENA: Portal for local sourcing across the MENA region for humanitairan, charity and health agencies.
Spend Management and Procurement
ERP Transformed Organizations. Can Procurement Technology Transform Markets?
ERP systems transformed procurement execution, but market visibility remains a challenge. Mawared MENA demonstrates how shared procurement infrastructure can help organizations discover suppliers, strengthen local sourcing, improve resilience, and create healthier supplier ecosystems before a purchase order is ever issued.
A visual representation of supply chain management
Supply Chain Management
Microsoft Dynamics 365 ERP MCP Server Lets Agents Move from Supply Chain Insight to Action
Microsoft is positioning Dynamics 365 ERP MCP Server as the bridge between AI-generated recommendations and operational execution. The platform gives AI agents controlled access to real ERP workflows, allowing organizations to move from supply chain visibility toward governed action while maintaining human oversight.
AI is doing more than making enterprise systems smarter. It is exposing weak data, disconnected processes and unclear ownership that were already there.
Automation
AI Reveals Vulnerabilities in the Enterprise Operating Model
Enterprise AI is not held back only by technology. ERP, supply chain, data, security, and people need to work together in a connected operating model that turns trusted context into controlled action.
Analytics and AI
How SNP Is Addressing the Manual Work Behind SAP Modernization
SNP is collaborating with a leading AI company to bring AI into one of the most labor-intensive areas of SAP transformation: test-data selection. The collaboration highlights a broader shift toward software-led delivery models that promise faster, more predictable, and more auditable ERP modernization projects.
erp work transformation
Analytics and AI
Report: AI Is Moving Faster Than the Enterprise Systems Built to Support It
Microsoft's 2026 Work Trend Index reveals a growing disconnect between employee AI capabilities and the enterprise systems designed to support them. As workers move faster with AI, ERP leaders face growing pressure to connect intelligence, governance, and operational execution.
ERP Strategy and Planning
The Mid-Flight ERP Decision: What to Do When the Platform Changes Before Go-Live
Cloud ERP vendors continuously release new capabilities, creating a challenge many organizations never anticipated when they approved their business case. This article explores how ERP leaders should respond when a platform changes before go-live and offers a practical framework for balancing customization, standardization, governance, and long-term value.
M&A
Data and Data Management
SNP Advances AI for Unstructured Data in M&A with Kyano Oros
SNP is expanding its AI capabilities through Kyano Oros, helping organizations bring unstructured enterprise data into mergers, acquisitions, divestitures, and SAP transformation projects. The move highlights a growing challenge for M&A teams: understanding the risks, obligations, and opportunities hidden beyond structured ERP data.
Boardroom Decision Debt
ERP Strategy and Planning
Decision Debt: The Hidden ERP Liability No Dashboard Tracks
Most ERP programs measure budgets, milestones, testing progress, and deployment readiness. Few measure the hidden liability created by unresolved business decisions. As AI compresses implementation timelines, decision debt may become one of the most expensive risks in enterprise transformation.
Business and technology leaders reviewing identity governance, access management, and cloud ERP security controls across integrated enterprise applications
Security
The Hidden Governance Challenge Behind Enterprise Cloud Integrations
As organizations expand cloud ERP ecosystems and integrate more applications, identity governance is emerging as a critical operational challenge. Sustainable access management depends less on technology alone and more on clear ownership, governance frameworks, and business accountability.
accounts payable workflow automation
Automation
Why AP Workflow Automation Still Leaves Finance Teams Doing Manual Work
Accounts payable automation has come a long way—yet most finance teams are still doing significant manual work. This article examines why AP workflows break down even with automation tools in place, where the ERP gaps lie, and what CFOs and finance leaders need to do to build truly touchless invoice and payment processing.
AWS agentic AI SAP ERP exceptions - MCP agentic ERP infrastructure with AgentCore
Analytics and AI
MCP Is Becoming the Plumbing of Agentic ERP—ERP Leaders Need to Understand It
MCP is emerging as the protocol layer that lets AI agents discover and call enterprise tools, data sources, and workflows. For ERP leaders, the opportunity is lower integration friction. The risk is that access control, auditability, and cost discipline move closer to the agent boundary.
Analytics and AI
GenAI in ERP Needs a Smaller Starting Point and a Harder Business Proposition
Enterprise leaders, while ambitious in their generative AI strategies, face a significant gap between their AI aspirations and actual production adoption, as illustrated by Mukesh Kumar's insights on targeted automation in ERP systems addressing specific, high-impact problems.
SAP developers being replaced by AI
Analytics and AI
SAP Says AI Could Replace Its Coders—Customers Should Watch What Comes Next
Christian Klein’s claim that SAP could have no human software developers within three to four years is not just a workforce prediction. It is a signal of how SAP believes enterprise software will be built, governed, supported, and sold in the AI era.
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