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CommentaryMicrosoft

I lead Microsoft’s enterprise AI agent strategy. Here’s what every company should know about how agents will rewrite work

By
Charles Lamanna
Charles Lamanna
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By
Charles Lamanna
Charles Lamanna
Down Arrow Button Icon
December 15, 2025, 9:05 AM ET
Charles Lamanna
Charles Lamanna, Vice President, Business & Industry Copilot, at Microsoft.courtesy of Microsoft

Across customers and industries, I am seeing AI agents move into the workflows that matter most, and they’re already beginning to transform how businesses work and lead. 

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Agents connect AI to tools, APIs, data, and organizational knowledge, and they can operate autonomously inside critical processes. Agents run continuously, escalate to people when needed, and deliver results at a speed and scale we have not seen before. 

That represents a real shift, one that’s already visible across finance, operations, supply chain, and customer support. Agents are improving accuracy, reducing manual effort, and boosting customer experience. They’re emerging as a dependable layer inside the enterprise and are shaping how organizations will operate in the years ahead. 

Expanding to outcome execution 

At Microsoft, we started by bringing AI into the workplace as an assistant, something that could help with tasks, accelerate work, and lighten the load. Then came agents that could follow human direction and keep work moving. Now we are entering the next phase: autonomous agents operating alongside people. 

This is not about replacing existing AI assistants; it is an expansion of what is possible. Each capability serves a different type of work. In our 2025 Work Trends Index, 80% of leaders said their company plans to integrate agents into their AI strategy in the next 12 to 18 months, with more than one-third planning to make them central to major business processes. 

Agents are becoming integral to operations across organizations of all sizes and are already delivering measurable results. According to a recent IDC study, Frontier Firms use AI across an average of seven business functions. More than 70% of them leverage AI in customer service, marketing, IT, product development, and cybersecurity, while 67% are monetizing industry-specific AI use cases to drive revenue growth. 

Redefining Roles 

History shows that breakthrough technologies don’t just slot into existing systems, they make us rethink those systems entirely. When steam power arrived, factories didn’t simply replace water wheels with engines. They redesigned the entire layout. Instead of clustering machines around a single power source, they spread them out, creating assembly lines and workflows that unlocked massive productivity gains. Electricity did the same, enabling flexible layouts and lighting that extended working hours and transformed manufacturing. We are at a similar moment now for information and knowledge work. 

Agents’ deeper impact will come from reshaping how work itself is structured. As they grow more capable, teams will include agents working alongside people who provide oversight, coaching, and strategic direction. This shift requires rethinking how people interact with applications and how organizations use data. It points toward a workplace where agents handle routine tasks and humans focus on creativity, judgment, and innovation. 

New roles will emerge, from agent builders to AI strategists, and existing positions will expand to include supervising and managing digital workers. Just as the internet era created UX designers and social media managers, the agentic era will produce a new generation of professionals who thrive in hybrid human–agent teams. 

Scaling agents safely and securely 

Agents unlock new levels of scale. They operate without downtime or bottlenecks, enabling organizations to serve more customers, move faster, and reduce costs. As they take on more repeatable work, companies can redirect talent and budgets toward higher-value activities and AI-driven outcomes. 

Security is integral to making this possible. Applying Zero Trust principles to agents, giving only the necessary access and adjusting it as responsibilities evolve, provides a foundation for responsible innovation. With strong guardrails and a culture that treats AI security as a shared responsibility, teams can deploy and scale agents with confidence. 

Pairing the scale of agents with rigorous safeguards is how organizations unlock transformative impact while protecting trust, data, and people.  

Practical integration across organizations 

Many leaders want to know what it looks like to bring agents into daily work. 

The strongest approach begins with democratized access: making agents available broadly so every employee can experiment and find value. Start with rules-based, repetitive processes such as data entry, invoicing, customer follow-ups, and approvals. These are low-risk, high-volume tasks where agents deliver immediate impact.   

From there, scale by building systems where agents collaborate, escalate, and learn. This means designing workflows where agents can hand off complex cases, adapt based on feedback, and continuously improve. Over time, they move from task automation to process orchestration. 

Adoption benefits from a two-pronged model. Empower people at every level to use AI daily, for bottoms up innovation, while senior leaders drive high-impact projects from the top. Pressure from both sides – top and bottom – accelerates transformation and ensures agents reach every workflow where they can add value. 

And remember: this is the least capable these systems will ever be. In six months, they will do much more; in six years they will be everywhere. Build with that trajectory in mind —design for scale, interoperability, and governance from day one. 

Our Agentic Future  

This shift also calls for evolving how we think about leadership. It requires humility and curiosity in equal measure, because none of us have all the answers. 

The leaders who excel are the ones engaging their teams, showing where agents are delivering value, and positioning AI as a tool for empowerment rather than replacement. 

Most importantly, use AI every day. Make it part of your daily workflow. Ground the hype in real projects. The fundamentals of work still matter. Relationships matter in sales, ethics matter in accounting, and culture matters in HR. AI will not change that, but it will change how we deliver them. 

The agentic era has begun, and it will unfold over years rather than months. IDC expects the number of companies using agentic AI to triple over the next two years. Organizations that lean in early will scale faster, operate smarter, and unlock new value. 

Every company will need an AI strategy. Every leader will need to rethink how work gets done. And eventually, every process will have an agent. 

Let’s build that future together. 

The opinions expressed in Fortune.com commentary pieces are solely the views of their authors and do not necessarily reflect the opinions and beliefs of Fortune.

About the Author
By Charles Lamanna
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Charles Lamanna is a former startup founder, now Microsoft Corporate President, who spent his early years revolutionizing development with intuitive low code platforms like Power Platform. Today, Charles leads Microsoft’s Business and Industry Copilot division and is the engineering visionary behind agentic business transformation at Microsoft.   

In his role, Charles works with customers to advance faster, innovate smarter, and empower their teams by embedding AI agents into every process and workflow, ushering in a once-in-a-generation shift happening within industries, business processes and the way work gets done. 


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