Agentic AI

Oracle’s Next Agentic AI Move Puts Builders Inside Fusion

Oracle has launched a new AI-native builder experience for Fusion Applications, enabling customers and partners to create agentic applications with no-code, low-code, and pro-code options, all while ensuring integrated security and governance controls within Oracle's existing framework.

Quality and Testing

KTern.AI’s AWS Agents Target the Consulting-Heavy Work Behind SAP Transformation

KTern.AI says a network of specialized AI agents can automate major SAP transformation activities, potentially reducing consultant dependency and accelerating S/4HANA migration programs.

Cloud Platform and Technology

SNP Transformation World 2026 – SNP’s Don Mahoney on Kyano, Palantir, and Data Precision

SNP's Don Mahoney on the Kyano platform, Kyano Lorna and Oros, the new Palantir partnership, and why data migration demands 100% precision.

Service Management

From SNP Transformation World 2026 – SAP’s Stefan Steinle on Clean Core and Agentic Support

SAP's Stefan Steinle on why running well in the cloud after go-live matters, the role of Clean Core, and how agentic AI powers preventive support.

Analytics and AI

From SNP Transformation World 2026 – SAP’s Thomas Pfiester on AI as a Growth Accelerator

SAP's Thomas Pfiester explains why AI is a growth accelerator, how clean data powers agentic AI, and why adoption decides transformation success.

SAP Business Data Cloud ERP data readiness - governed foundation for analytics and AI

Data and Data Management

SAP Business Data Cloud Turns ERP Data Readiness Into the Real Test

SAP Business Data Cloud promises a governed foundation for analytics and AI—but ERP data readiness, fragmented legacy architectures, and budget pressure mean most organizations aren't ready to capture that value. With 45% still evaluating BDC and only 3% achieving a unified data layer, partner execution and data context are now the deciding factors.

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.

Real-time ERP data pipeline for enterprise AI agents - data lakehouse architecture

Cloud Platform and Technology

Real-Time ERP Data Becomes the Next Test for Production AI Agents

Enterprise AI agents are only as useful as the business context they can see. Real-time ERP data movement—governed, low-latency, and pipeline-native—is now the defining test for whether production AI delivers on its promise for finance, order management, and supply chain teams.

Cloud Platform and Technology

SAP Business Data Cloud Raises the Stakes for ERP Data Readiness

SAP Business Data Cloud positions itself as the governed foundation for AI-driven analytics. But adoption is still early, data fragmentation remains the norm, and only 3% of organizations have achieved a unified data layer. This article examines what ERP teams need to address before BDC can scale: semantic preservation, BW migration maturity, partner capability, and governance frameworks for agentic AI.

Supply Chain Management

DeepFabric Takes Aim at the Manual Work Still Slowing Supply Chains

DeepFabric has launched its AI agent platform aimed at automating manual coordination tasks in supply chain operations, offering over 50 specialized agents that improve efficiency and reduce costs for enterprise clients, while emphasizing the importance of human oversight in the process.

Human Capital Management

Workday Turns to HR Path to Reach More SMBs in Ireland and Scotland

Workday has appointed HR Path as an authorized value-added reseller for the UK and Ireland, enhancing its partner-driven market approach for small and medium-sized businesses while providing customers with a streamlined relationship for their HR and finance system needs.

Application Development and Integration

meshIQ and Dataeko Target the Middleware Blind Spot Blocking Modernization

meshIQ and Dataeko have partnered to give enterprises unified visibility and control over middleware environments that connect ERP, supply chain, and banking systems across hybrid and multi-cloud estates. Powered by meshIQ's Version 12.1 agentic AI, the partnership targets the middleware blind spots blocking cloud modernization.

Enterprise AI sprawl and invisible AI governance concept

Analytics and AI

The AI Bill Is Bad, But Not Knowing What Is Running May Be Worse

Enterprises are learning the biggest AI bill is not tokens but invisible AI they cannot see, govern, or measure. This article explains how ERP and IT leaders can bring AI agents, tools, and workflows under real governance before sprawl, risk, and cost spiral out of control.

Analytics and AI

AI’s Token Binge Is Over—Now Enterprise Budgets Want Proof

Enterprises that once rewarded employees for maximizing AI usage are now discovering how quickly token costs can spiral. As finance leaders tighten budgets, AI pilots are being judged on workflow‑level outcomes, model routing discipline, and whether they actually improve delivery, code quality, and ERP operations—not just how many tokens they consume.

ERP Strategy and Planning

Workday Says AI Agents Belong Closer to the Systems They Could Break

Workday is drawing a clear line in the enterprise AI agent debate: for high-stakes workflows in HR, payroll, and finance, the safest place for AI inference and orchestration is inside the system of record, not on neutral third-party platforms. Through its controlled openness model—open APIs and MCP for developers, proprietary governance within Workday—the company argues that context, business logic, and security controls are a competitive moat that cannot be safely externalized.

Financial Management

Live Webinar: MCP and AI Agents in Dynamics 365 Finance & Supply Chain

This webinar walks through the Model Context Protocol (MCP) and shows how AI agents can securely read and act on data in Dynamics 365 Finance and Supply Chain. Attendees see live demos of MCP-driven scenarios, learn practical design tips for safe automation, and get guidance on first steps to experiment with agentic AI in ERP without compromising data quality or auditability.

Analytics and AI

Gatekeeping Enterprise AI? Workday Redraws the Build-vs-Buy Line for AI Agents

Workday’s DevCon 2026 announcements show how enterprise AI agent strategy is moving beyond build-versus-buy and toward governed access to HR, finance, business process, and audit controls.

AI process mining Enterprise AI context layer

Analytics and AI

Celonis Acquires Ikigai, Launches Context Model to Give AI Agents Operational Intelligence

Celonis’ Context Model and Ikigai Labs acquisition position process intelligence as a context layer for enterprise AI agents that need to understand real workflows before they recommend or act.

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.

Spend Management and Procurement

SAP Procurement Agents Are Reaching the Front Door of Spend Management

SAP's Joule AI capabilities, set for general availability across Ariba and Fieldglass in June 2026, aim to enhance procurement processes by automating intake, contract creation, and workforce operations while urging spend teams to ensure proper governance and integration before widespread adoption.

Automation

New Relic Prepares Observability for AI Agents That Skip the Dashboard

New Relic has introduced Autopilot and Ground Truth to shift observability toward an AI-agent-first operating model. Autopilot automates SRE triage and remediation using runbooks and context, while Ground Truth exposes governed telemetry to external AI agents via open standards. Both products reflect a broader industry move toward headless, agentic operations where AI systems, not human engineers, handle first-response tasks.

Service Management

Intapp Says Professional Firms Solved the Wrong AI Problem

Intapp’s Firm AI blueprint reframes the professional-services AI debate around the business of the firm, arguing that individual productivity tools will not change firm economics unless AI reaches intake, conflicts, staffing, pricing, relationships, compliance, and institutional judgment.

Financial Management

Trintech AI Agents Are Targeting the Manual Work Behind the Financial Close

Trintech has launched two new AI agents designed to eliminate manual investigative work from the financial close process. The Flux Agent identifies material account fluctuations during the close, while the Variance Analysis Agent automates post-close budget-to-actual analysis. Both tools operate within governed financial workflows, keeping outputs connected to audit trails and human review controls.

Data and Data Management

Why ERP Leaders Need to Understand Data Lakehouses Before Scaling AI Agents

Data lakehouses are emerging as the essential infrastructure layer for enterprise AI — providing ERP leaders with a governed, cross-system data foundation where AI agents can operate safely, semantically, and at scale. This analysis explains what a data lakehouse is, why it matters for agentic AI, and what ERP leaders must address before scaling autonomous AI across critical business workflows.

Analytics and AI

Zuora Pushes AI Agents Deeper into Quote-to-Cash Finance Work

Zuora is pushing AI agents deeper into the heart of quote-to-cash — expanding Zuora AI across catalog management, CPQ, revenue operations, and workflow automation. This analysis covers what the new agents do, how customers are already using them to tackle high-friction finance tasks, and why governance must scale alongside AI adoption in subscription billing environments.

Manufacturing Systems and Automation

QAD Redzone’s Pune Hub Points to the Real AI Gap in Manufacturing

QAD Redzone’s Pune hub is more than an India engineering expansion. It reflects a larger shift toward AI-enabled manufacturing execution, where ERP, MES, connected worker tools, and frontline decision-making need to operate as one control loop.

Product Lifecycle Management

NTT DATA Puts AI Agents at the Front End of Product Planning

NTT DATA is launching an AI agent service in July 2026 to streamline early-stage product planning for food, beverage, and consumer goods companies, enhancing the speed and structure of concept generation while ensuring alignment with brand guidelines and market analysis.

Human Capital Management

Workday Is Testing How Much Enterprise AI Should Be Allowed to Do

Workday’s Q1 results showed agent adoption momentum. The follow-up question is whether Sana, Microsoft 365 Copilot, the Agent System of Record, and federal HR automation can prove that enterprise agents can act inside governed workflows without eroding control.

Enterprise Architecture

Epic Turns Scheduling into the First Test of Its Healthcare ERP Ambition

Epic's healthcare-native ERP initiative takes a significant step forward with the launch of Teamwork, a staff scheduling application that integrates seamlessly with clinical workflows, aiming to enhance operational efficiency and decision-making in health systems.

Tax Compliance

KPMG Puts Global Tax Incentives Inside Its Claude-Powered Gateway

KPMG has expanded its Digital Gateway by integrating the Incentive Credit Opportunity Navigator (ICON) in partnership with Incentify, providing clients a streamlined platform to identify and act on global tax credits and incentives efficiently, alongside a minority equity investment in the AI-driven technology firm.

Analytics and AI

AI That Executes: What the 2026 ERP Market Is Actually Building So Far

This month's enterprise software announcements reveal a significant focus on execution, as evidenced by notable acquisitions aimed at enhancing AI capabilities across various domains, emphasizing the need for domain-specific inputs for effective operational execution.