Are You Ready to Manage AI Agents?

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Artificial intelligence (AI) is transforming and disrupting how work gets done. By now, this is a known fact. But the way large language models (LLMs) impact our workplace is changing, too. 

Generative AI adoption and innovation is no longer about buying a ChatGPT license for your company and hoping your employees use it. Now, the most innovative, AI-forward companies are using AI agents. 

AI agents at work

According to the 2025 Microsoft Work Trend Index Report, 53% of leaders want to see a productivity increase. But 80% of workers and leaders feel that they’re running out of time and energy to get everything done. 

This is where AI agents can come into play — if they’re implemented correctly.

What is an AI agent? 

An AI agent is a software program that can collaborate with humans, make decisions based on available data, and tackle real-world tasks, all in real time. These autonomous agents are built using conversational AI models, so your team can interact with them as they would a human colleague. 

For example, an AI agent that acts as an email assistant may be able to scan your inbox, identify priority messages, and create summaries to help you process your incoming messages faster without missing key information.

Sometimes, AI agents are actually multiple AI workflows chained together, each one tackling a different stage in a complex process like generating blog content or creating a social media campaign. As the owner of the AI agents, you can give feedback on the tools’ outputs and train the AI to produce better results over time.

But AI agents aren’t meant to replace humans. Instead, they’re valuable tools that can enhance the way you function at work — and empower every contributor in an organization to exercise their leadership skills. 

What are the benefits of AI agents? 

The process of building AI agents can ultimately expand the capacity of your human workforce by taking on some of the routine yet complex tasks that are taking up too much time. This allows your staff to spend more time on strategic, creative, and value-driving work that requires a human touch.

But simply adding AI systems into your tech stack isn’t enough. If you add agentic AI to a business process that’s outdated, inefficient, or broken, the AI will only amplify problems — not solve them. 

What AI implementation looks like

Widespread use of AI agents requires not just a technical adjustment but a complete organizational shift. No one specific formula can tell you where to deploy an AI agent or how many of these tools you should use. 

The first step is to evaluate your current processes and AI use. Ask yourself:

• Where are our human team members outperforming AI tools?
• What tasks are routinely completed by AI quickly, with good accuracy and reliability?
• When do customers require a human touch or human judgment?
• What legal and ethical processes need to be executed by humans?

Every company will find different areas in which to best integrate AI agents, though the Microsoft report indicates that most companies expect to use AI agents when optimizing customer service, marketing, and product development processes. Some companies will use one agent at a time; others will build complete multiagent systems that manage complex workflows — the best choice depends on how you work and what your goals are. 

You could opt for a system where there’s:

1. One AI assistant for every human worker
2. Multiple AI agents working in tandem to execute directions from a human worker
3. Teams of AI agents forming digital departments that execute work to advance progress on a goal set by a human

For example, AI agent integration may start as one assistant helping a customer support team member manage questions related to shipping. Over time, this could evolve to teams of AI agents processing requests, providing logistics updates, tracking packages through a supply chain, and more — all while humans oversee the process and step in only when required. 

But even when you’ve pinpointed the tasks and roles that can be supported by AI, you still can’t simply announce the technology and call it a day. 

AI agents, whether used to complete tasks or as strategic partners, are effectively a type of digital labor that expands your workforce. And as such, every worker engaging with AI agents needs to take on the role of a manager or leader, even if they aren’t responsible for a human headcount. 

The result? A marked cultural shift that reshapes teams and creates a less hierarchical, more outcome-driven organizational structure — one that emphasizes skills over traditional titles and career progressions. 

How to manage an AI agent

Effective AI agent management doesn’t require software development skills — you can find many great no- and low-code agentic AI tools that respond to natural language prompts. 

AI management does entail:

• Deep subject matter expertise
• Strong power skills
• Good decision-making for delegation
• Excellent communication skills
• Rapid human intervention when needed

The shift won’t happen overnight. But Microsoft’s report notes that 81% of leaders expect AI agents to be integrated into their companies in less than two years — so agentic AI is an essential strategy for any company that wants to streamline operations and remain innovative. 

And true work innovators aren’t only investing in AI agents. They’re also investing in freelancers who can help them embrace this new world of work effectively.  

How freelancers can help you use AI agents

Freelancers are well equipped to work on projects with both human and digital stakeholders. More than 50% of skilled freelancers report advanced or expert-level proficiency with AI — while only 38% of skilled full-time employees say the same thing. 

This isn’t surprising. Freelancers already operate in fluid, flexible spaces that require them to identify inefficiencies, try new tools, self-manage, and learn on the fly. And years of working with a variety of clients mean that most skilled freelancers’ communication skills are excellent, too. 

You may choose to work with an AI freelancer who can help you best implement AI agents or you may opt to bring in highly skilled pros to handle key business operations while your team adjusts to their new digital colleagues. Either way, the support of flexible freelancers is vital to the smooth rollout of your agentic AI initiatives. 

Take the next step into agentic AI adoption

Ask yourself: If AI agents joined your team tomorrow, would you be ready to use and lead them? 

If the answer’s no, that’s OK. You don’t need to overhaul your entire business with AI agents right away. Start by taking one workflow that can benefit from automation — like customer onboarding or financial reporting — and map the entire process from start to finish. 

Work with the best domain experts on your team to identify which parts of the process:

• Can be fully transferred to an AI agent
• Require a blend of human and AI work
• Necessitate a human in complete control from end to end 

From there, consider engaging an AI consultant to guide the selection of AI models and help you transition work to AI-powered, autonomous tools. And remember, an AI agent is meant to be a copilot, not a replacement or threat. Change can bring a lot of emotion to the forefront, so it’s understandable if your direct reports and colleagues have questions and concerns about AI agent adoption.

What’s important is that each contributor to your team stays focused on outcomes — whether they’re a full-time human colleague, a skilled freelancer, or a new digital worker.