Introduce Agents into Your Workforce: 5 Actions for Leaders

Over the past year, organizations have focused on strengthening the human foundations of AI adoption—helping employees build confidence with copilots, reshaping workflows, and learning how to bring human expertise and machine intelligence together. These shifts have been essential for creating the readiness, skills, and muscle memory needed to move into the next stage of AI-enabled transformation: bringing AI agents into the workforce.

Agents act on behalf of people, carrying out tasks, orchestrating multi-step workflows, and operating continuously across systems. According to an IDC InfoBrief sponsored by Microsoft, 37% of surveyed organizations are using agentic AI, another 25% are experimenting with it, and 24% plan to adopt it within the next 24 months. Organizations that have invested in people, skills, and responsible practices may be better prepared to scale agents and convert AI's promise into real business performance.

When introducing agents into the workforce, it's crucial to start with the most persistent pain points. Successful organizations don’t begin with futuristic ideas—they focus on familiar friction points that drain time and introduce risks. Leaders should observe how work truly happens by shadowing teams and asking revealing questions: Where do we lose time? What tasks are done manually that shouldn’t be? What feels broken but lacks ownership? Addressing these pain points can provide early value and demonstrate how agents can meaningfully improve day-to-day operations.

The next step is to define your AI goal and lead the change yourself. Introducing agents is not just a technical shift; it’s a leadership shift. The fastest-moving organizations are those whose executives model new ways of working, using agents in their workflows and openly discussing their learnings. Acknowledging that change requires habit-building is essential, and even 20 to 30 minutes of daily experimentation with agents can significantly enhance adoption and confidence.

Measuring what works is equally important. Leaders should ensure visibility into agent behavior, usage frequency, and outcomes. Effective organizations treat agent adoption as an operational discipline, logging and monitoring agent activity while measuring saved time and business impact. These data-driven insights help transition from experimentation to a consistent, enterprise-wide model for agent development.

As agents become teammates, a new challenge emerges: coordination. Agents that start as individual productivity tools often become shared digital teammates relied upon by multiple people and processes. Successful organizations establish clear roles and responsibilities to ensure effective governance and continuous improvement of agents in response to changing conditions.