Cegeka shows how narrowing AI agent scope, combining AI with deterministic automation, and building for expansion can turn an ambitious proof of concept into a production-ready solution.
copilot
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, it’s 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.
New functions can support apps that combine Dynamics 365 apps with business context from WorkIQ for complete experiences, Microsoft partners say.
Experts including forward-deployed engineers (FDEs) are deemed key factor in accelerating outcomes, reducing risk, and ensuring operational impact of AI.
Customers increasingly wonder whether communications, statistics, and research were reviewed by people, driving the need for published AI policies to build trust.
‘Project HydraFusion’ evaluates each request and chooses the least complex workflow required, using additional model calls only when it anticipates a better result.
Product provides budgets, guardrails, and lock triggers to actions taken by AI agents. Can organizations define clear limits and policies to make use of those controls?
Instead of searching across laboratory results, medications, and specialist documentation, clinicians can prompt Epic and receive required information inside ChatGPT using new OpenAI connector.
New tools aimed at enforcing cost discipline include an AI pricing calculator, detection of spending anomalies, and spending caps for individual AI projects.
Altman Plants is connecting enterprise data and systems through AI, MCP, and Microsoft Fabric to give employees faster access to insights and improve complex decision-making.
Most enterprises face similar internal struggles, as they struggle to track what data is being used by SaaS vendors and consumer AI tools used by employees.