Why Most Agencies Are Automating the Wrong Things

Most agencies don't struggle with automation because the technology doesn't work. They struggle because they start in the wrong place.

I've watched this play out more times than I can count.

An agency owner or someone on the leadership team sees a demo, hears a peer talk about how much time they saved, or reads a social media post about "AI-powered efficiency."

The next question is predictable: "Hey team, how can we automate reporting, proposals, decks, content drafts—something visible."

The intention is good because as leaders of marketing firms we want more efficiency and time savings that could translate to the bottom line.

Unfortunately, the outcome is often disappointing.

Automation doesn't fix broken systems

The reason is simple: automation doesn't fix broken systems. It amplifies them.

If your processes are unclear, inconsistent, or dependent on tribal knowledge, automation just pushes that confusion through the organization faster.

You might save a few minutes here and there, but you often lose something more valuable—confidence.

Teams stop trusting the output. Clients still ask the same questions. Senior people get pulled in anyway.

What gets missed in most automation conversations is friction.

Not surface-level friction, like "this task is annoying," but structural friction. The kind that shows up as repeated clarification, rework, or quiet frustration. The moments where work slows down because no one is quite sure who decides what, or what "good" actually looks like.

Those are the real leverage points.

For example, agencies might try to automate client reporting before they've aligned internally on how performance should be interpreted. The result? Faster reports that still don't answer the client's real question: "Is this working, and what should we do next?"

At our own agency, we've considered automating intake forms without improving brief quality. Suddenly, more work flows through the system, but downstream teams are still fixing the same gaps manually.

In both cases, the automation wasn't wrong. The starting point was the issue.

Focus on your services firm's workflows to get more from AI implementation

The agencies that get this right don't begin with tools. They begin with uncomfortable honesty.

They ask questions like:

- Where do we regularly lose momentum?

- Where do senior people get dragged into avoidable decisions?

- Where does work break down between teams?

Those answers are rarely glamorous. They don't make for good demos. But they matter.

When automation is applied to decision bottlenecks instead of surface tasks, something shifts. Work flows more cleanly. Expectations are clearer. Teams spend less time reacting and more time thinking.

One of the most important mindset shifts is this: automation is not a technical initiative. It's a leadership one.

The technology isn't always easy, but it can often be relatively speaking the easier part. The harder work is creating enough clarity that automation actually has something solid to support.

If you're wondering where to start, don't ask what can be automated. Ask where your team is quietly compensating for a broken system. Start there.