enterprise AI governance

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
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.
ServiceNow’s Q2 Results Show AI Governance Is Becoming a Buying Trigger
ServiceNow reported stronger-than-expected Q2 2026 results with subscription revenues reaching $3.88 billion, driven by a significant increase in its AI business crossing over $1 billion in annual contract value, and raised its full-year revenue outlook while emphasizing the importance of AI governance for enterprise software.
Managed Claude on Google Cloud Shows the Model-Governance War Is Heating Up
Google Cloud has integrated Anthropic's Claude models into its Agent Platform's Model Garden, offering enterprises a managed AI service with production-ready features and governance controls, allowing seamless multi-model applications and compliance with regional data requirements.
Oracle Fusion Agentic Applications
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.
Microsoft Gives AI Agents a Governed Path into Dynamics 365 ERP
Microsoft is enhancing its Dynamics 365 ERP strategy by introducing governed access for AI agents within Finance and Operations, allowing controlled interaction with ERP data and business logic while ensuring security, thereby facilitating a transition from integration to automation.
Stanford University campus buildings under blue sky representing Stanford AI Index 2026 research on enterprise AI readiness.
AI Is Expanding, but ERP Systems May Not Be Ready—Stanford AI Index 2026
AI adoption is expanding across enterprises, but ERP systems may not be ready. The Stanford AI Index 2026 highlights gaps in governance, trust, infrastructure, and talent that affect how AI supports business decisions.
Nvidia logo displayed against stock market chart background symbolizing AI infrastructure growth and earnings performance.
Nvidia Earnings Signal Expanding AI Infrastructure—and New ERP Risk Dependencies
Nvidia’s FY26 earnings confirm accelerating AI infrastructure investment. For ERP leaders, the real story lies in emerging dependencies across hyperscaler leverage, security posture, and enterprise data governance.