Microsoft updates Finance Agent to provide a command center-type interface, as well as support for natural language prompts to gain and act on financial insights.

Giuseppe Ianni and Nandita Puri discuss how AI is helping connect fragmented biomedical research, reducing years of literature review into months of analysis and creating new opportunities for rare disease treatments.

Dona Sarkar explains why coding agents succeed first in AI adoption thanks to structured data, clear validation, and measurable outcomes.

Thales explains how organizations can use AI-driven competitive intelligence to identify market weaknesses, exploit operational gaps, and respond faster than competitors.

Support for Compliance API gives Purview visibility into conversations and events, bringing both data types in Claude under broader enterprise controls.

Microsoft and EY’s expanded partnership combines AI-native engineering with business consulting to help organizations scale transformative AI initiatives.

Features for controlling the actions of agents — ensuring they don’t misbehave — bring the enterprise-level controls required by IT/security pros and business leaders alike.

James Oleinik explains how Work IQ powers Copilot with real-time enterprise context, turning AI into an intelligent execution layer for work.

From checking credit references to operating as a personal chief of staff, AI agents can operate within a wide range of autonomous functionality.

James Oleinik explains how Agent 365 provides the visibility, governance, and security foundation needed to manage AI agents across the enterprise.

Because buyers rely extensively on AI tools, websites need to be optimized with content and schema that reflect changing customer journeys.

Sachin Gandhi explains how AI agents are transforming supply chains by autonomously planning and executing logistics operations.

Microsoft says the future of AI success depends less on individual readiness and more on organizational culture, management support, and redesigned workflows.

The bifurcation between AI-native and AI-bolted-on organizations is becoming more apparent as the AI-centric approach’s benefits come into sharper focus.

Christopher Lochhead explains how AI is accelerating category-level shifts that create entirely new kinds of jobs while rapidly reshaping the future of work.

AI Is making organizations more competitive and unlocking innovation, but it’s also changing the ways humans process information.

James Oleinik explains how Microsoft’s agentic system of work positions Copilot as the central interface while autonomous AI agents execute enterprise workflows at scale.

Microsoft provides three distinct patterns — orchestrator/specialist, MCP-based connected agents, and browser session use — for agent development; discover recommended use cases for each.

AI agents are driving a shift from product-focused organizations to autonomous, end-to-end process excellence across the enterprise.

AI and Microsoft expert Paul Swider details a personal health assistant he’s built called Tula that unifies all of a patient’s data and aims to level the healthcare playing field.

Microsoft’s James Oleinik explains how enterprise software is shifting from app-centric workflows to AI agent-driven systems where intent replaces manual navigation.

At Paragon Films, MCP is enabling AI agents to do everything from managing approval workflows to pinpointing invoice discrepancies to making employee knowledge ‘immortal.’

Microsoft and AI expert sorts out key pricing questions and licensing considerations for Copilot Studio-built agents, and explains why costs still pose confusion for some customers.

Word, Excel, and PowerPoint integrations, plus Copilot Cowork, bring AI-driven actions to the fore and make Copilot worth another look for those who were disappointed.

Sachin Gandhi explains how Copilot is evolving into the enterprise interface, enabling agentic workflows that automate processes and turn business data into real-time knowledge.

Microsoft’s James Oleinik explains how enterprise AI is shifting from a human-driven assistant to systems that independently execute work on behalf of users.

Skills codify workflow details that are too often managed as ‘institutional knowledge,’ making those instructions accessible and reusable for agentic AI automation.