Three big questions to answer before putting Autopilot in production: Whose name is on it? What’s it allowed to do without asking? And what does it cost when it runs every day?

Procurement leaders expect AI to drive innovation and accelerate core processes, but first they need to reinvent their operations and get their people on board.

Google’s reported shutdown of its open-source bug bounty program reveals how AI-generated security reports are overwhelming cybersecurity teams and creating new challenges for vulnerability detection.

AI leaders are embracing self-regulation as Washington weighs stronger oversight, raising questions about enforcement, consumer risk, and how the U.S. can regulate AI without slowing innovation.

Microsoft has distilled lessons from hundreds of internal AI transformation projects into five principles focused on business outcomes, end-to-end workflow redesign, employee involvement, expanded human capabilities, and continuous learning between people and AI.

Connectors tie Microsoft Copilot to third-party vertical and horizontal systems of record. Copilot in SharePoint is generally available, with Work IQ connections in the pipeline.

Microsoft and ServiceNow illustrate a larger AI shift toward open protocols, governance, and control as enterprises seek to deploy agents across increasingly ambitious initiatives.

Tech, business, and finance pros will each have their own major areas of economic focus as they migrate AI apps from pilot to production to scale.

Leaders are banking on fewer transaction errors and stronger compliance from their AI investments. But there’s an architectural mismatch between ambitions and operating models.

Michael Simms discusses the importance of data readiness in the successful adoption and use of AI.

Microsoft AI stack is a stark contrast to gaps exposed by OpenAI security incidents. It provides governed agent identities, evaluation and safety red teaming, and limits on agent blast radius.

Copilot Studio feature called Hooks adds certainty to the launch of workflows by agents, rather than rely on agents to make a judgment call.

Shawn Dorward of sa.global explores how leaders can encourage AI adoption by creating space for experimentation, sharing successes openly, and giving employees time to learn.

As AI takes hold in production use cases, we need to ask a financial question: what happens to the bill if adoption expands broadly?

Enterprises are getting better at identifying valuable AI projects, putting pressure on pilots, products, and vendors that cannot demonstrate meaningful returns on investment.

Copilot can now operate as a digital teammate that builds, remembers, and follows through. Paired with governance, it can turn that power into outcomes at scale.

Microsoft is extending Work IQ into Dynamics 365 business applications, giving Copilot and AI agents access to operational data, processes, and context that could help them reason across finance, supply chain, sales, service, and Microsoft 365.

Organizations pursuing AI-driven layoffs could eventually face expensive rehiring needs while competitors that reinvest in employees use AI to accelerate productivity and growth.

Jacquelyn Polanco of Texas Disposal Systems shares how AI agents are reducing manual workloads, giving employees more time for higher-value work, and improving work-life balance.

Insights in Foundry analyzes “traces” to determine likely causes of mistakes by AI agents and recommend ways to overcome them.

Work IQ highlights Microsoft’s growing effort to turn its enormous reservoir of enterprise context into a powerful asset for more efficient AI agents.

Work IQ represents a potentially important evolution in enterprise AI, moving personalization beyond emails and documents toward a deeper understanding of organizational context.

Work IQ could address one of enterprise AI’s biggest obstacles: agents that lack business context. Microsoft is using existing applications, processes, semantic models, and institutional knowledge to create a reusable intelligence foundation for Copilot and agents.

As it takes on work ranging from coding to running productivity apps to combining existing AI experiences, Copilot emerges as the driver of an expanding range of business activities.

Will Hawkins explains how AI can serve as a “second brain” for career development, helping people define who they want to become and build the skills and expertise to get there.

Customers will be able to use Copilot to update a record in a CRM system or turn a support escalation email into a ticket within a project tracker.

Jacquelyn Polanco of Texas Disposal Systems shares how AI-powered data mining and contract tools are helping sales teams uncover leads, understand customer needs, and build organizational buy-in.