State and federal agencies collaborate with AI leader to optimize skills, connectors, and agents for government agencies and their unique processes.
copilot
Because AI models don’t know a company’s processes by default, acquiring knowledge of those inner workings is critical to driving performance.
Microsoft’s new Copilot enables legal professionals to perform in-depth work in Word and Cowork, while providing a wide range of pre-built industry functions as reusable skills.
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.
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.
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.
As AI takes hold in production use cases, we need to ask a financial question: what happens to the bill if adoption expands broadly?
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.
Insights in Foundry analyzes “traces” to determine likely causes of mistakes by AI agents and recommend ways to overcome them.
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.
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.
Companies need structured, repeatable processes in which AI interviews experts, identifies implicit knowledge, and captures missing details.
Top users redesign workflows to give agents stable processes and provide persistent context so they can perform recurring work without repeated explanations.
Claude for Financial Advisors adds to an expanding set of industry-optimized AI software that automates and streamlines core functions performed by financial pros.
AI isn’t killing software; instead it’s filling gaps between commercial systems. The more products you bought, the more gaps you had.