The Future of Automation: AI Agents and Copilot Studio?

Agents, agents, agents. It is the latest technology to widen our business applications’ impact. But without beQuite a few posts on my timeline are about honesty about what AI is. Apparantly too often the term AI Agents are used when they are basically automation in disguise. As I’m building and learning more about Agents with Copilot Studio I am often wondering what I am building. So here are some wondering thoughts about the subject.

Shows a picture of a Droid playing baseball. Included in the picture is the logo of Power Automate and Copilot Studio
Copilot Studio and Power Automate

And recently I read that no-one even knows what AI Agents are. I will not pretend I do know what they are, but I will add my 2 cents to the discussion. Especially since I love building AI Agents with Copilot Studio! Or am I building automation? AI Automation? I don’t know! So, let’s first try and get some definitions.

Definitions: Automate, Elevate, Delegate and Relegate?

Automation: Strictly speaking automation refers to the use of technology to perform tasks. It involves creating systems and processes that can operate independently, reducing the need for manual effort. When I automate, I do so with software development and to support business processes, to improve efficiency, quality and accuracy.

Shows a definition table of facts and opinions. Used for teaching children
Facts and yes my definitions are opionized

AI Automation: Now AI Automation takes automation a step further by incorporating artificial intelligence (AI) into the process. This sounds simple, but it geniuinly pisses people off if you call automation which calls a bit of AI an Agent. I use the term AI automation when the task has a defined input and output and usually resolves around a singular tasks. And we have to use AI in our automation else it’s merely automation.

Agents: Agents are software entities that act on behalf of users to perform specific tasks. They can be simple bots that follow predefined rules or advanced AI agents that use large language models (LLM) to understand and respond to user needs. Agents can interact with users, gather information, and execute actions to achieve their goals. And in the near future, they might do so autonomously!

Mixing in Copilot Studio

For the few readers who do not know me, I’ve been playing with Agents for quite some time. Back in the day we called them chatbots, which we programmed each conversation step with the Bot Framework SDK. After a few iterations Power Virtual Agent saw the light, and we could use messages nodes. In that time we already used machine learning, natural language processing and entity recognition. Did we call them AI Agents? Most of us didn’t. We still referred to them as chatbots.

Shows a meme picture of a grumpy old man. Text on the picture is Back in my day, we only had 150 pokemon
Back in my day

Only after the introduction of LLM we saw the hype of Agents and AI Agents. This is such a recent concept that Microsoft 2 years ago thought of Copilots, renamed my beloved Power Virtual Agent to Copilot Studio and now the original name might make more sense! Don’t get me wrong, I don’t mind the name changes at all, they make some sense most of the time. It’s just to illustrate how fast innovation and vision changes currently.

The thing is, how we build solutions is fundamentally changing. No longer will we have to rely on large “if, then, else” statements to eventually get to the result we want. However with Copilot Studio solutions we still use large areas of deterministic outcomes. Sometimes I question if I am building AI Automation or an Agent.

But does it matter what type of Agents we build?

But now that I’ve given it some thought. Does it actually matter how we call what agents we build? My answer? It depends! Yes I’m still a consultant. But let me answer the question from both sides, with a yes and no.

Shows a meme of a person tapping the side of his head. The text above sais: "It depends". The text below reads: "Yeah.. Now I Don't have to explain anything"
It Depends

Super Early Bird
Yes, it matters because sometimes we are better off building automation using classic automation tools because it’s cheaper than using LLM tools. Automation tools can be more cost-effective for certain tasks, providing a practical solution without the need for advanced AI capabilities. Automation tools can also be more robust as they will follow your entire logic chain.

No, it does not matter because it’s vital to start learning. Start building a small agent, learn, iterate, and continue. The key is to begin with simple agents, understand their performance, and what works well for your users to gradually improve them. This iterative approach allows you to refine your agents based on real-world feedback. Whether we use basic automation or advanced AI, the goal is to continuously enhance our agents to meet user needs effectively.

About the Author

Ben den Blanken

Microsoft Business Applications MVP, Lead Power Platform Consultant at Wortell

Reference:

Blanken, B (2025). The Future of Automation: AI Agents and Copilot Studio? Available at: The Future of Automation: AI Agents and Copilot Studio? – Power Addict Ben [Accessed: 27th March 2025].

Share this on...

Rate this Post:

Share:

Share this on...

Tags: