One of the biggest misconceptions I see is that automation is the goal. It isn’t. The goal is building a team that can scale, and automation is simply one of the tools that helps you get there. As automation becomes more accessible and AI continues to dominate conversations, it’s easy to over-glorify the tools and skip the fundamentals. But no automation, workflow, or AI solution can fix a broken process. Before you automate, you need to understand the work itself. That means documenting it, refining it, and iterating on it. Otherwise, all you’re doing is automating chaos.
At the same time, growing teams are facing a different challenge: there are more automation opportunities than ever before. Your technicians have ideas. Your engineers have ideas. Vendors are telling you everything can be automated, and clients are asking where AI fits into every process they have. Everywhere you look, there’s another opportunity to make something faster, smarter, or more efficient.
On the surface, that’s a great problem to have. The reality is that automation requires investment. Someone has to design it, build it, test it, document it, and maintain it. Before long, you’re not struggling to find things to automate. You’re struggling to determine which opportunities are actually worth pursuing.
That’s where many organizations get stuck. The challenge isn’t learning how to automate. The challenge is learning how to evaluate automation opportunities through the lens of business impact.
As leaders, we’re constantly trying to create leverage. We want to support more customers without increasing headcount at the same pace. We want our most skilled employees spending their time on high-value work instead of repetitive administrative tasks. We want consistency, fewer mistakes, and better experiences for both customers and employees. The right automations help accomplish those things. The wrong automations simply become another thing the team has to support.
When someone brings me an automation idea, I rarely start by asking how we’d build it. Instead, I start by asking what problem we’re trying to solve. The best automation opportunities almost always begin with friction. They’re the tasks that people complain about every week, the tickets that create unnecessary noise, the processes that are prone to mistakes, and the manual work that repeatedly pulls talented people away from more strategic responsibilities.
In many cases, these opportunities surface naturally during one-on-one meetings. Your technicians know where the bottlenecks are. Your service desk knows which issues generate unnecessary volume. Your engineers know where they’re spending time on work that feels repetitive. When you start listening for those pain points, patterns emerge, and those patterns often reveal your best automation candidates.
Once you’ve identified a potential opportunity, the next step is evaluating the value. Time savings are usually the easiest place to start. How much time does this process consume today, and how often does it occur? Saving five minutes on a task may not sound significant until you realize that task happens dozens of times each week across multiple employees.
But time savings are only one piece of the equation. Error reduction often creates just as much value. Some processes aren’t expensive because they take a long time. They’re expensive because mistakes lead to rework, escalations, customer frustration, or missed service commitments. If automation eliminates those issues, the impact can be far greater than the number of minutes saved.
I also encourage teams to think about business outcomes. Does the automation improve the customer experience? Does it make employees happier and more productive? Does it increase profitability or make the organization more scalable? When you start asking those questions, the conversation shifts away from the technology itself and toward the business value it creates.
Of course, value is only half of the equation. You also have to understand the effort involved.
Some automations are relatively straightforward. Others quickly turn into projects that require significant development time and ongoing maintenance. As part of the evaluation process, I like to look at workflow complexity, tool availability, required integrations, and long-term ownership. One question that often gets overlooked is who will maintain the automation after it’s deployed. Every automation becomes something your organization owns, and every system you own comes with a maintenance cost.
This is where a simple value-versus-effort matrix can be incredibly helpful. Some opportunities will be low effort and low value. They’re nice ideas, but they probably aren’t priorities. Others will be high effort and low value, which are often the easiest opportunities to eliminate. Then there are the major projects: high-value initiatives that require significant investment and planning.
The sweet spot, especially for teams looking to scale, is the high-value, low-effort quadrant. These are the quick wins. They’re opportunities that create measurable impact without consuming months of resources. They build momentum, increase confidence in automation, and most importantly, give time back to the team.
That’s where I encourage organizations to start.
The reason I care so much about this framework isn’t because I love automation. It’s because I care about building teams that can grow sustainably. Every organization eventually reaches a point where adding more people isn’t enough. To continue growing, you have to create leverage. You need systems that scale, processes that scale, and people who are able to focus their expertise where it matters most.
Thoughtful automation helps make that possible.
Not because it’s trendy. Not because AI is the topic everyone wants to talk about. But because it allows your team to spend less time on repetitive work and more time solving meaningful problems.
At the end of the day, the question isn’t whether something can be automated. The question is whether automating it helps your team scale. That’s the conversation worth having, and it’s exactly why we created the automation prioritization worksheet for 1:1s. It gives teams a structured way to evaluate ideas, discuss business impact, and prioritize opportunities based on value rather than excitement.
Download the automation prioritization worksheet for 1:1s here!
Written by: Anna Lang, Head of Partner Success at ImmyBot
Published on: November 2, 2026
