Analytics and AI

Artificial Intelligence (AI) and analytics are indispensable in propelling digital transformation efforts, particularly influencing Enterprise Resource Planning (ERP). With the rapid progression of technology and computing power, organizations across various sectors are generating immense amounts of data daily, impacting ERP processes. The significance of this data lies in its potential to extract actionable insights, facilitate strategic planning, and drive innovation within the ERP framework. In this context, AI and analytics emerge as pivotal tools, facilitating the extraction of value from the vast amounts of data generated and collected across the enterprise, optimizing ERP functionalities. Analytics is commonly categorized into descriptive, prescriptive, diagnostic, and predictive types, enhancing the ERP landscape. AI algorithms contribute not only to predictive and prescriptive analytics but also empower companies to develop innovative ERP capabilities, exemplified by advancements such as Industry 4.0.

Analytics and AI
Infor Expands Industry AI With Shared Business Context and Built-In Agent Governance
Infor has expanded its Industry AI architecture and Velocity Suite with industry-context agents and built-in governance controls. Its own survey finds 68% of businesses say off-the-shelf AI does not meet their industry's needs.
Analytics and AI
Acumatica Names Jason James CIO as AI Expansion and Global Growth Advance
Acumatica has appointed Jason (JJ) James as chief information officer to lead its IT organization, following its 2026 R2 AI release and a year of acquisition and engineering expansion.
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.
Analytics and AI
What Makes an ERP AI-Ready for Manufacturers?
Manufacturers seeking AI-ready ERP must prioritize a solid foundation of clean, integrated data and governance to ensure successful AI implementation, as using unreliable data only exacerbates errors and hampers decision-making.
SAP Connect Stage
Analytics and AI
SAP Says Supply Chain AI Should Start With the Decision
At SAP Connect 2026, SAP's new supply chain product chief urged teams to define the business decision and its metric before choosing an AI use case. Bosch, Döhler, and Microsoft described how they apply that approach to supply chain agents.
Analytics and AI
Syspro Whitepaper: The AI-Ready ERP Checklist
Twenty statements across four sections, from real-time visibility to job costing, test whether your ERP can support AI-driven manufacturing. Score your platform and see which gaps to close first.
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
Syspro Torque: Industrial-grade AI for manufacturers
AI agents work inside the systems you already run, on Syspro or any other ERP, and show the rule and data behind every decision. You decide how much control to delegate. Click here to learn more!
SAP logo, a white stylized starburst shape on a dark blue background, with 'SAP' text beside it
Analytics and AI
SAP Rolls Out Joule Work and New Assistants, With Most Arriving by Early 2027
SAP presented Joule Work, new Joule Assistants, and SAP Business AI Platform at SAP Connect. Some capabilities are available now, most arrive by early 2027, and early customers tie their results to S/4HANA foundations.
TechWolf
Analytics and AI
SAP to Acquire TechWolf, Bringing AI-Powered Work Intelligence into SAP SuccessFactors Core
SAP's acquisition of TechWolf, an AI-native work intelligence platform, aims to enhance workforce management by providing deep insights into employee skills and work patterns, thereby positioning SAP SuccessFactors as a comprehensive tool for evidence-based workforce transformation.
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
Acumatica 2026 R2 Puts AI Agents and Outside AI Tools Inside ERP Controls
Acumatica 2026 R2 adds AI agents triggered by business events and MCP servers that give outside AI tools read-only access to ERP data under existing permissions. The release also makes the Modern UI the default ahead of Classic UI retirement in 2027 R1.
Analytics and AI
Syspro Torque’s IMTS Debut Centers Industrial AI on Approval, Rules, and Cost
Syspro's first public demos of its Torque industrial AI platform at IMTS 2026 focused on how agent actions are approved, sourced from a manufacturer's own rules, and costed before they run.
Analytics and AI
QAD | Redzone Bets on Manufacturing Intelligence to Turn ERP Into a System of Action
QAD | Redzone has unveiled Manufacturing Intelligence, a cross-system intelligence layer it expects in market in spring 2027, alongside new AI agents for ERP, the shop floor, ERP modernization, and trade compliance.
Analytics and AI
Fusion Claw: Oracle’s New Runtime for Autonomous, Governed Enterprise Work
Oracle has introduced Fusion Claw, a governed execution runtime that lets Fusion Agentic Applications take on larger, longer-running work. It pairs frontier-model reasoning with deterministic computation and records each run in an auditable receipt.
Analytics and AI
Microsoft Opens Work IQ Preview for Dynamics 365 and Power Platform Data
Microsoft has opened a public preview of Work IQ, which grounds Copilot and agents in a shared model of Dynamics 365 and Power Platform data built largely from existing configuration. Dynamics 365 Finance and Operations coverage is scheduled for late October.
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 interconnected nodes symbolizing specialized industry knowledge for enterprise AI.
Analytics and AI
Why Industry Context Is Becoming Critical to Enterprise AI
As AI moves from generating suggestions to executing work, industry processes, rules and data increasingly determine what it can do. This explainer covers what industry AI is, why context matters more as AI takes action and what determines whether it can scale.
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.
An abstract representation of interconnected digital networks, flowing data, and artificial intelligence symbols over a blurred industrial background.
Analytics and AI
Sage Makes the Case for Three Kinds of AI in the Supply Chain, and One Data Foundation Beneath Them
Two September 2026 Sage Advice articles frame supply chain AI as predictive, generative, and agentic layers that only deliver value on connected ERP data with human oversight. ERP Today's 2026 coverage of Sage Copilot in X3, IDC trust research, and customer readiness shows why explainability is now a supply chain requirement.
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
Microsoft Dynamics 365 Agentic ERP Roadmap Runs Through March 2027
Microsoft has set out its Dynamics 365 ERP roadmap through March 2027, making its core agent connectors generally available while finance, supply chain, field service, and HR agents move through preview and development.
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.
Financial Management
SAP Releases Accounting Accruals Agent for Month-End Close
SAP has released its Accounting Accruals Agent under Restricted Availability, giving S/4HANA Cloud Public Edition customers an AI-powered way to calculate accruals, prepare proposals and automate parts of the month-end close while retaining human review.
Human Capital Management
Frontline Expectations Are Outrunning Workforce Systems
New Workday and DailyPay research finds hourly workers want clearer pay information, easier scheduling and mobile self-service. The gaps raise questions for employers planning frontline AI on top of their HCM and workforce-management systems.
Financial Management
Finance Transformation Stalls Where Data Assembly Begins
Finance teams still lose hours exporting ERP data and reconciling spreadsheets before analysis can begin. Two Unit4 blogs argue that connected FP&A changes both forecast responsiveness and how skilled finance staff spend their time.
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.
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