In this episode, Diego Araujo discusses the challenges enterprises face when adopting AI copilots in Dynamics 365 Finance & Operations, emphasizing governance, user adoption, and selecting high-impact use cases that can demonstrate value quickly and overcome skepticism.
As enterprises require AI models to deliver consistent, secure performances on a regular basis, organizations need an AI-ready security foundation that protects their data, meets regulatory demands, and brings order.
Framework lets users and developers bring their own models, supports both A2A and MCP for seamless integration of diverse AI tools, Will Hawkins and Rich Hawkins note.
Rejecting “SaaSpocalypse” fears, Aneel Bhusri argues AI will enhance enterprise applications rather than replace them. Workday’s strategy focuses on AI agents embedded within its HR and finance platform to drive new growth and customer value.
Financial services, manufacturing, and retail are leading AI agent implementation, demonstrating how operational use cases are driving measurable transformation across high-impact sectors worldwide.
The company’s first Autonomous Workforce deliverable is a Level 1 Service Desk AI Specialist that diagnoses and resolves common, low-priority IT support requests.
Alithya’s Chad Weiner breaks down how to move from AI curiosity to real execution using Copilot Studio and Microsoft 365 agents.
Herain Oberoi highlighted two fundamental AI-Era cybersecurity questions: Can we trust the data, and is the AI system safe and secure? These concerns underpin Microsoft’s integrated governance and security strategy.
New products deliver visibility, governance, and data protection controls over agents built internally as well as those from Microsoft and third parties.
Security Dashboard for AI is built to rein in AI sprawl with Defender, Entra, and Purview integration as well as inventory functions that span Microsoft and widely used third-party AI software.
Scaling AI agents in 2026 requires autonomy, orchestration, and strong governance — not just building more bots.
ServiceNow CEO Bill McDermott says AI is “devouring” low-value software vendors as enterprises demand AI embedded directly into workflows. He insists ServiceNow is not SaaS but a platform company positioned to lead the Agentic AI Era.
From natural language assistance to intelligent workflow orchestration, this collaboration signals a major shift toward agentic AI in the enterprise.
By combining AWS AI capabilities with NTT DATA’s delivery scale, the partnership accelerates legacy modernization and responsible AI adoption in highly regulated sectors worldwide.
AI innovation is outpacing security readiness, and new data shows why governance and unified security approaches are now mission-critical.
Discover six key trends for scaling agentic AI in organizations, from end-to-end workflows and system integration to governance, model flexibility, and productivity gains.
Microsoft research finds more than 80% of security leaders say they’ll use GenAI in data security, and they’re building a series of agentic AI use cases to protect against rogue AI risks.
With AI agents multiplying rapidly, Salesforce positions MuleSoft Agent Fabric as a critical defense against shadow AI and wasted investment.
Cross App Access, being added as a core part of the MCP specification, allows centralized management of user entitlements, closing a gap that currently exists with some MCP servers.
Microsoft’s partnership with the University of Manchester brings Copilot access and training to 65,000 users, establishing a new model for integrating AI into higher education responsibly and equitably.
