Enterprise AI

Security
AI Agents Need a Gateway, and Citrix Is Putting NetScaler in the Middle
Citrix has enhanced its NetScaler AI Gateway with Model Context Protocol (MCP) Gateway functionalities to streamline governance for large language model and agentic AI traffic, introducing centralized authentication and model-routing features to address emerging enterprise needs for secure and monitored access to backend systems.
AWS SAP Transformation
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.
image of Workday office surrounded by blue skies | Compa
Analytics and AI
Workday Research Shows Why AI Alone Is Not Fixing Busywork
New Workday research shows that disconnected systems continue to consume employee time, while organizations embedding AI directly into core workflows are realizing significantly stronger productivity gains and higher user confidence.
ERP Strategy and Planning
SNP Transformation World 2026
ERP Today brings members essential insights from SNP Transformation World 2026, covering SAP S/4HANA migration, AI-ready data, clean core strategies, M&A and business-led transformation.
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.
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.
IFS Chelsea FC AI
Enterprise Asset Management
IFS and Chelsea FC Move Industrial AI from Sponsorship into Club Operations
IFS and Chelsea FC are enhancing their partnership to integrate IFS technology across the club's operations, initially focusing on finance and procurement and later expanding into asset management and facility operations, aiming to leverage Industrial AI for operational efficiency.
Oracle Database@Google Cloud
Financial Management
Oracle Cloud ERP 26C Puts Finance Release Readiness Under Pressure
Oracle's Cloud Financials 26C readiness documentation highlights a new quarterly release cycle that requires finance and IT teams to prepare for significant changes, including compliance updates, AI-enabled capabilities, and 137 changes across multiple modules, necessitating ongoing release management as a core operational discipline.
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.
Enterprise AI sprawl and invisible AI governance concept
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.
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.
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.
Anthropic Claude ban lift AI access
Analytics and AI
Anthropic’s Ban Lift and Claude Science Launch Test the New Rules of AI Access
The Trump administration has lifted restrictions on Anthropic's Claude Fable 5 and Mythos 5 models, ending a weekslong export ban tied to cybersecurity concerns—though Mythos 5 remains restricted to approved US organizations. At the same time, Anthropic launched Claude Science, a domain-specific AI research workbench targeting life sciences and pharmaceutical users, signaling a broader shift toward specialized, governed enterprise AI access.
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.
Secure enterprise corridor representing Microsoft Power Platform governance and AI agent access
Governance, Risk, and Compliance
Microsoft Power Platform Narrows the Access Gap for ERP Agents
Microsoft's June 2026 Power Platform updates introduce Advanced Connector Policies that govern AI agent access to SAP systems at the action and MCP server level. ERP leaders must understand what the new controls mean for low-code automation, connector visibility, and enterprise AI compliance.
Enterprise Architecture
Who Governs AI Agents When Workflows Cross Platforms?
As AI agents expand across ERP, cloud, and workflow platforms, enterprise leaders face a critical governance challenge: who owns accountability when data, models, and audit trails are fragmented across multiple systems. This analysis explores the control plane problem and what ERP teams must do to prevent agent sprawl.
Real-time ERP data pipeline for enterprise AI agents - data lakehouse architecture
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.
AI and SAP Discovery Center
Analytics and AI
Where Does AI Adoption Really Start? SAP Discovery Center Has the Answer
The SAP Discovery Center serves as a crucial self-service portal for enterprises like Agilent and Sutherland, providing essential resources and reusable architectures to streamline AI adoption and minimize risks, ultimately helping organizations select strategic starting points for their AI initiatives.
Analytics and AI
Microsoft Dynamics 365 Brings Agentic ERP Workflows into Copilot Cowork
Microsoft introduces Copilot Cowork as an innovative interface for Dynamics 365 ERP, aiming to streamline workflow by integrating ERP data and processes into a collaborative environment, allowing employees to coordinate actions without the need for cumbersome manual processes.
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.
Customer Journey to ERP
CRM and Customer Experience
SAP Is Pushing Autonomous CX Expansion with Parloa, Google Cloud, AWS Partnerships
SAP's June 15 partner brief urges its ecosystem to expedite the rollout of Autonomous CX, integrating various SAP platforms and enhanced through new partnerships with tech giants, aiming to streamline customer experience workflows and drive industry-specific solutions.
Armstrong AI data SAP
Data and Data Management
‘AI Is a Business Challenge, Not an IT One; Data Is the IT Problem,’ Q&A with Armstrong World Industries
Armstrong World Industries is proactively developing a strong data foundation to effectively scale AI across the enterprise, driven by the complexity of their data environment due to mergers and acquisitions, emphasizing that AI is a business challenge requiring strategic integration rather than merely an IT fix.
SAP logo displayed at company office, representing enterprise software security and monthly Patch Day updates.
Analytics and AI
SAP Moves Agent Orchestration into Joule Studio with n8n Deal
SAP has acquired a minority stake in the Berlin-based automation platform n8n at a $5.2 billion valuation, integrating it into Joule Studio to enhance AI workflows in its Business AI Platform while targeting broader developer adoption and improved orchestration strategies for enterprise systems.
Analytics and AI
IBM and ServiceNow Target Legacy Systems and Data Readiness for AI at Scale
IBM and ServiceNow announced a multi-year collaboration to modernize legacy applications, enhance AI-ready data governance, and integrate autonomous operations into IT workflows, aiming to overcome barriers to enterprise AI by evolving existing systems and improving data management and operational integration.
Court Ruling AI Overviews
Analytics and AI
German Court Raises Legal Stakes for Google’s AI-Generated Search Answers
A German court has held Google directly liable for false claims made by its AI Overviews, differentiating them from traditional search results due to their generation of new statements, thereby establishing heightened accountability for AI outputs.
Oracle Q4 2026 earnings
Analytics and AI
Oracle’s Q4 2026 Earnings Call: $638B Backlog Turns AI Cloud Growth into Funding Test
Oracle surpassed fiscal Q4 revenue and earnings expectations with a focus on its AI infrastructure, reporting significant growth in cloud revenue and large-scale AI contracts, but faced investor concerns over capital spending and negative free cash flow as it aims to convert its $638 billion in remaining performance obligations into revenue.
NTT DATA and Google Cloud
Analytics and AI
Google Cloud Adds NTT DATA to Gemini Enterprise Delivery Push
Google Cloud is enhancing its Gemini Enterprise partner strategy through an expanded collaboration with NTT DATA to facilitate the deployment of enterprise AI solutions, aiming to create a dedicated practice that supports 5,000 certified experts and the development of 500 AI agents to effectively transform business operations.
Analytics and AI
The Next Enterprise AI Wave Will Reach Beyond Agents, Says SAP Labs US Managing Director
At SAP Sapphire, Global Head of Research & Innovation Yaad Oren discussed SAP's forward-looking exploration of emerging technologies like AI, data, user experience, robotics, quantum computing, and cloud architecture, urging customers to embrace current AI capabilities while also preparing for future innovations.
Earnings
Analytics and AI
Oracle Earnings Will Test AI Infrastructure Economics Behind OCI Growth
Oracle's upcoming Q4 FY2026 earnings report on June 10 is pivotal, as investors are keen to understand how the company plans to manage the capital-intensive demands of its AI cloud expansion amidst a substantial $553 billion backlog, with expectations for revenue growth and the implications of their capital expenditures on future profitability.
Oracle AI World Tour
Analytics and AI
IBM Closes Out 2026 Oracle AI World Tour with a Clear Message: AI Is Now an Operational Imperative
IBM's 2026 Oracle AI World Tour highlighted the transition of enterprises from questioning AI adoption to leveraging it for tangible business value, showcasing success stories and practical guidance across major cities while emphasizing the importance of intentional design, robust governance, and integrated systems for effective AI implementation.
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