I’m sure by now you’ve probably used ChatGPT, Claude, or something similar. You ask it a question, it answers. You ask it to write something, it writes. That part you get.
Agentic AI is different.
The AI you’ve used so far is reactive. Standard AI tools wait for you to ask something. Every time you want a result, you prompt it, review it, and decide what to do next. The AI does not act on its own.
What "agentic" means in Agentic AI
An AI agent (or Agentic AI) is an AI system that can complete a task by working out the steps needed to reach it, and carry out those steps using real tools, and access to actual things without you managing every move.
Instead of waiting to be asked, an agent can read, search, write, send, check, and respond, in order, based on what it finds along the way. The output might be a sent email, an updated record, or a completed research summary, not just a draft sitting in a chat window.
Examples of Agentic AI systems
Claude Cowork is Anthropic’s Agentic AI desktop agent. It reads, edits, creates, and organizes files directly on your computer. You give it a folder and a task, and it works through the steps while you do something else.
OpenAI Codex is OpenAI’s coding agent platform that plans tasks, edits code, and handles multi-step development work autonomously. Non-developers encounter it as the engine behind some of ChatGPT’s more capable features.
Microsoft Copilot is an embedded Agentic AI system in Microsoft 365. It handles productivity tasks across Word, Excel, Outlook, and Teams, drafting documents, summarizing email threads, and pulling data across your files.
Google Gemini operates as an Agentic AI system inside Google Search, and Workspace, handling tasks across Gmail, Drive, Docs, and Calendar in much the same way.
What these Agentic AI systems have in common is that they do not just respond to a single prompt. They take a task and work through it across multiple steps, using real access to your files, accounts, and data.
The pros of Agentic AI
I’m in with both feet on Agentic AI and genuinely find it useful, productive and time saving. Most days I get more done before 9AM than most people do all day (credit : U.S. Army “Be All That You Can Be” campaign) .
On any given day I’m using multiple agents like Claude and ChatGPT, or agentic ai systems like OpenClaw and Hermes Agent.
The biggest practical benefit for me is time. AI Agents handle the repeatable, busy work that eats my schedule such as content creation, inbox triage, contact enrichment, calendar scheduling, research, data entry, troubleshooting technical issues, and more.
Agentic AI coding has allowed me to build working applications that solve my problems and help me keep subscription overload at bay. Instead of paying for an expensive tool that does some of what I want, I’ve been able to build smaller tools that do exactly what I want, and help clients do the same.
That work does not stop happening, it just stops requiring hours of my attention.
A well-configured AI agent lets you complete tasks quickly instead of managing a growing to-do list. For a small business owner like me who is wearing every hat in the building, that is a significant benefit and is the difference between spending my day writing one blog post, and spending it on tasks that require my hands and expertise.
That said, Agentic AI has real limitations and real risks worth understanding before you dive in.
The cons of Agentic AI
These are real systems with real access to your data, your accounts, and your files. Before you connect Agentic AI to anything, you first need to understand what can go wrong.
Errors compound
A chatbot gives you a bad answer and stops. An agent takes a bad step and then takes the next three steps based on it. If you’re not paying attention, by the time you notice, the damage may be several actions deep.
Scope creep is real.
Agents follow instructions, but instructions have gaps. An agent will fill undefined space with whatever behavior its underlying model produces. We continue to see news stories and social media posts of Agentic AI that deletes files, and other unintended consequences. So caution is warranted.
Data exposure.
A cloud based AI agent with access to your email, files, or client records is sending that information to an external server to process it. ChatGPT, Claude, and Copilot are cloud based Agentic AI systems.
Know where your data goes before you connect anything, and read the vendor’s data policy before you do.
Some data may be off-limits. If your business handles healthcare records, student records, financial reporting data, or any other regulated information, there may be compliance requirements that govern whether and how an AI agent can touch that data. This is worth a conversation with your attorney or compliance officer before deploying.
Mistakes can be impossible to undo.
A sent email is sent or deleted file may be gone. An agent operating at speed can create situations that are difficult to reverse.
Best practices before you give an AI Agent access
Limit access to what the agent actually needs.
Do not give a scheduling agent access to your financial records. Scope the permissions to the job. When you’re first starting out you may want to test your Agents with small tasks and limited, but separate access to certain data and tools.
I run multiple Agentic AI systems but keep them siloed on their own computers, using their own accounts, or limited in scope with what they can touch or execute. To date I have not given an Agentic AI system complete access to my main computers, files or business operations. I use them as tools, not as a replacement for my own judgement or administration.
They should be treated as tools, not replacements for human experience, and judgement. Like any tool, Agentic AI works best in the hands of a skilled operator.
I highly recommend working with an AI consultant to guide you on best practices, how to avoid common mistakes, and configuring Agentic AI in the way that matches how you and your team work, and how to carefully integrate AI into your business operations.
Keep a human in the loop.
Routine confirmations can be automated. Contracts, purchases, and anything that deletes or sends data should require your review first. As you get to know how your Agents operate, fine tune its behavior along the way so that you can responsibly expand its scope.
Start small.
One task, one account, low stakes. Confirm the behavior matches your intent before expanding access.
Log what the agent does.
Most platforms provide activity logs. Use them. You want a record of what was sent, accessed, or changed.
The bottom line.
This technology is genuinely amazing. Agentic AI can save real time on real tasks. When used and configured correctly you can speed through workflows in a fraction of the time that it used to take to do it all by hand.
If you just drop AI into your business operations without a plan, it will not go well. The businesses that get the most from Agentic AI have clear guidance, set clear boundaries, and scope out an integration plan before they deploy.
AI Consulting and Support Specialist
Sec+ CySA+
If you and your team are struggling to integrate AI strategies into your business, I can help. Let’s do a free 30 min chat via Google Meet and see if we can start turning your AI problems into solutions.
