Before You Automate Work, Understand It

AI agents are now a serious business conversation.

Unlike chatbots, which primarily respond to prompts, AI agents can take action. They can gather information, route work, trigger actions, identify improvements and recommend next steps. While the technology is still evolving, it's already beginning to reshape how work gets done.

Leaders are understandably eager to put agentic AI to work. But the first step has little to do with AI.

Before AI can improve a workflow, leaders need a clear understanding of how the work happens today. In many organizations, that understanding is more limited than people realize.

Most companies have process maps and standard operating procedures. Far fewer have an accurate, shared view of how work really gets done in practice—where it slows down, where decisions get stuck, where employees create workarounds and where ownership becomes unclear.

AI won't solve those problems. In many cases, it may accelerate them.

Because AI adoption isn't just a technology challenge. It's a people challenge, a leadership challenge and a trust challenge.

Workflow Mapping Is Becoming a Strategic Discipline

The first question shouldn't be:

"Where can we use AI?"

It should be:

"Where in this workflow is value being lost today—and how should the work be redesigned before we decide what AI should do?"

That shift forces leaders to think about workflow redesign as a transformation effort rather than a technology implementation project.

Consider a product issue.

A customer reports that a recently released product is failing in the field. Customer service escalates the issue. Engineering investigates. Legal assesses risk. The communications team prepares for stakeholder questions. Meanwhile, operations, product and commercial leaders weigh potential responses.

On paper, the process may look straightforward.

In reality, progress often depends on side conversations, undocumented workarounds, competing priorities and judgment calls that exist only in people's heads. Many of the most important decisions and handoffs happen outside the formal workflow.

Now add an AI agent.

The agent might summarize the issue, identify similar cases, alert the right teams and recommend next steps. But if ownership is unclear, escalation thresholds are undefined or the organization hasn't determined when human judgment is required, the result won't be better work.

It will be faster confusion.

A better starting point is to map work through a human lens:

• How does the work flow today? What triggers it, who touches it and where does it slow down?

• Where do decisions happen? Who makes them, what information do they need and where do judgment calls come into play?

• Where is work breaking down? Where do bottlenecks, handoffs, rework or slow decision-making create friction?

• Why is work breaking down? Where do unclear ownership, fragmented data, unnecessary approvals or knowledge trapped in individuals prevent progress?

These questions reveal where AI can help. They also reveal where leaders need more clarity before they introduce new technology.

The Human Side Will Make or Break Adoption

Adoption doesn't happen when people gain access to a tool. It happens when people understand what's changing, believe the change makes sense and feel supported as they adapt.

Employees, in other words, won't experience AI as a strategy. They'll experience it through their daily work.

They'll ask questions such as:

• Will this make my job easier or make me easier to replace?

• Am I supposed to trust the output?

• Who is accountable if AI gets it wrong?

• Will I have time to learn this?

• Did anyone who understands my work help design it?

The companies with unclear or uninspiring answers to questions like these are the ones whose AI efforts are already stagnating.

A useful tool can sit unused if employees don't know when or how to apply it. A strong use case can stall if managers don't translate it into everyday work. A promising pilot can fade if leaders don't reinforce the behaviors needed to make a new workflow stick.

Leaders don't need every answer before they move. They do, however, need a strong starting point. They can start by picking a workflow that is core to the business’s operating model—an area where workflow improvement would create meaningful value for customers, employees, or the business’s core product. As leaders map how work really flows in that process—where processes break down, where workarounds keep things moving, where decision-making rights are ambiguous—they must create significant space for candor. The honesty of those closest to the work is essential for getting a clear portrait, and for discovering the greatest opportunities for improvement.

The Real Opportunity

As organizations learn how humans and AI agents can work together productively, the biggest advantage won't come from deploying the most tools.

It will come from understanding work well enough to redesign it with clarity, trust and care.

The goal isn't simply faster work.

It's better work: clearer decisions, fewer handoffs, stronger manager support, greater customer impact and more time for people to focus on the work only people can do.

Before you put AI agents to work, understand the work itself.

If your organization is ready to build the trust, leadership and culture needed for AI adoption to stick, let’s talk.

Written by Jennifer Allison, Managing Director, and Patricia Bayerlein, Executive Director.