Clear organizational priorities turn AI from a scattered experiment into a strategic mindset. With 3 in 4 employees already using AI, leaders must shift from pilots to strategy, balancing risk, ROI, and governance, to create measurable business impact.
Data migration doesn't have to be the bottleneck. AI agents can cut timelines by 80%, reduce errors to near zero, and free your team from spreadsheets, turning migration from a headache into a strategic advantage.
AI contract management helps real estate teams process hundreds of leases faster and with fewer errors. By combining Microsoft Power Platform, AI Builder, and Dataverse, you can automate data extraction, streamline workflows, and scale operations with human oversight.
Want AI assistants that ship fast and stay flexible? Start in Copilot Studio to extend Microsoft 365 Copilot or spin up a custom agent in hours. When you need more control, use Azure AI Foundry to choose your data and model. Start simple, scale later.
A facility‑services company built an AI assistant to help technicians fix machines faster. It loads manuals and schematics and returns answers on the job, boosting first‑time fixes, cutting downtime, and delivering measurable ROI.
Transforming a chaotic data process doesn't need a 6-month AI strategy. A T-shirt company automated product data tagging using Microsoft Fabric and OpenAI, hitting 89% accuracy in their first tests. The result? Faster workflows, cleaner data, and teams free from Excel overload.
Copilot in Dynamics 365 is already doing the work—tracking order impacts, surfacing customer data, reading invoices. No extra tools needed. Just turn it on, use it, and give feedback. Most features are built-in and ready now.
Microsoft is using AI to save millions and boost satisfaction. The shift to agent-led work rapidly transforms sales, service, and operations. Learn why messy data holds you back and why change optimization beats old-school change management.
To win board support for AI, speak their language: risk, ROI, governance. Align with your company's risk appetite. Focus on real pain points, not tech hype. Be clear, realistic, and trustworthy. Boards want progress they can verify, not empty promises.
PriceSmart integrates AI into its core strategy, rather than through peripheral projects. With accurate data, modular technology, and unified leadership, they enhance efficiency, retain talent, and improve customer experience across twelve countries. AI initiatives are spearheaded by top management.
AI Copilot in Dynamics 365 enhances service operations with smart scheduling, real-time diagnostics, and predictive maintenance. Integration with Teams modernizes workflows. Use cases such as fraud detection and contract insights help reduce costs and delays. Start small and scale quickly.
AI in manufacturing starts with clean data, role-based training, and fast MVPs like HR or finance copilots. Success hinges on culture, not just tech. Real value shows in time saved, clear use cases, and frontline teams wanting more.
AI projects
Vixxo's AI copilot, Vita, began with a technician, not IT. Built for the field, it speeds up manual access, improves fix rates, and lowers costs. Success came by starting small, proving value, and earning trust through real use. AI must deliver where it counts.
AI copilots
Copilots serve as modern user interfaces, while agents optimize workflows. It's essential to shift away from isolated functions and rigid procedures. AI adapts dynamically for faster HR processes, smarter sales, and improved support. Use Copilot Studio to create customized agents.
AI agents
AI agents are like apps with reasoning. They track context, escalate smartly, and hand off tasks. Think modular, like microservices. Every org will have a gateway agent supported by specialists. Garbage in, garbage out. Build wisely.
AI ROI
AI ROI isn't automatic. Adoption varies, metrics can mislead, and skill gaps remain. Track collaboration, onboarding, and real use, not just time saved. Move from isolated tools to integrated solutions. Focus on what truly drives business impact.
AI is not an add-on but a central component. Evolve roles, organizations, and intellectual property. Empower idea-scalers. Rethink capital. Build agile teams and unlearn outdated rules. Lead from the future or risk losing talent and relevance.
AI literacy
Most AI conversations still confuse more than they clarify. This session at the AI Copilot Summit finally broke it down explaining how AI really works, what leaders need to know, and what it takes to move from experimentation to enterprise-scale impact.
AI success
Is poor data management stalling your AI progress? At the AI Agent & Copilot Summit NA, experts shared how Microsoft Fabric unifies data, boosts quality, and cuts costs and how tools like OneLake & Purview modernize AI adoption.
AI-driven finance
Finance teams waste time on manual tasks. Microsoft Copilot for Finance automates reconciliation, variance analysis, and reporting by integrating with Outlook, Excel, and ERP systems. AI cuts errors, boosts insights, and lets CFOs focus on strategy.
AI project success
AI success relies on quality data, yet poor data costs businesses trillions. A 2018 AI project failed due to bad data, while a 2024 one thrived by prioritizing data readiness. Key steps: align AI with goals, engage stakeholders, assess data, run pilots, and manage change.
AI-powered documentation
AI is changing the way enterprises handle documentation, making it faster, more accurate, and easier to manage. With AI-driven processes, teams spend less time on updates and onboarding while reducing support tickets. Here’s how companies are using it to save time and cut costs.
Microsoft Fabric
Microsoft Fabric offers a unified platform for data analytics, integrating tools like Data Factory and Power BI. It reduces costs and complexity, enhances security, and speeds up insights with AI-driven analytics. Stay ahead by adopting Fabric for scalable, efficient data management.
AI-Powered ERP
Microsoft's AI-powered ERP in Dynamics 365 automates finance, supply chain, and compliance, eliminating manual work and making operations predictive and efficient. Innovations like AI-driven invoice processing and real-time supply chain planning transform enterprise workflows.