“Software bot” is an umbrella term for a program that performs an action automatically, and in practice it covers three genuinely different technologies: RPA bots, chatbots, and AI agents. They get lumped together constantly because they all “do a task for you,” but what each one can actually handle, and more importantly, what happens when something unexpected occurs, is different enough that confusing them leads to picking the wrong tool for the job. We build Shogo, an open-source AI agent, which sits in the third category, so near the end we’ve been specific about which tasks it suits and which ones a plain RPA bot or chatbot handles better.
The three things people mean by “software bot”
RPA bots
Automation Anywhere, one of the original RPA vendors, defines software bots as programs “designed to do specific actions, such as automating repetitive tasks or simulating human users.” That’s the core of RPA (Robotic Process Automation): a bot that mimics the exact clicks, keystrokes, and data entry a human would perform, following a fixed script across specific applications.
RPA bots are reliable for the same reason they’re limited. They do precisely what they were configured to do, every time, as long as the screen, workflow, and data look the way they did during setup. Move a button, change a form field, or introduce a new exception case the bot wasn’t built for, and it breaks rather than adapts. RPA vs AI agents covers that breaking point in more depth.
Chatbots
A chatbot is a conversational interface. Its job is to answer questions and hold a dialogue, usually by matching intent to a pre-written response or routing a request to a knowledge base article. The best chatbots feel responsive and natural, but most of them don’t take action on your behalf; they deflect, inform, or escalate to a human. A customer asking “where’s my order” gets an answer pulled from a tracking system, not necessarily a bot that actually processes a return or issues a refund on its own.
AI agents
An AI agent sits a level above both. Instead of following a fixed script (RPA) or matching conversational intent (chatbots), it reasons about a goal, decides what steps to take, and executes actions across systems, including ones it wasn’t explicitly scripted for step by step. An AI agent can read a support ticket, pull context from a CRM, decide whether a refund is warranted under a stated policy, and process it, the “reads, decides, acts” loop that neither a scripted RPA bot nor a conversational chatbot is built to do on its own.
Why the distinction actually matters
Picking the wrong category costs real time. A few patterns worth knowing:
- If a task changes based on judgment, not just data, RPA will break. RPA bots handle volume and repetition well. They don’t handle “use your judgment on this edge case” at all, because there’s no reasoning step, only a script.
- If a customer expects an action, not an answer, a chatbot won’t satisfy them. A chatbot that only answers questions will frustrate someone expecting a resolution, a refund processed, an account updated, a booking changed.
- If the screen or workflow changes often, an AI agent tends to hold up better than RPA, because it’s reasoning about what to do rather than replaying a fixed script against a UI that’s expected to look the same every time.
- None of the three is a strict upgrade of the others. A well-scoped RPA bot doing high-volume, unchanging data entry is often cheaper and more predictable than an AI agent for that exact task. The choice depends on whether the task needs judgment or just repetition.
How to tell which one a task actually needs
Ask one question about the task: does it ever require a judgment call that isn’t fully written down as a rule? If no, a scripted RPA bot or a simple chatbot is usually the cheaper, more predictable choice. If yes, an AI agent is the only one of the three built to make that call and act on it.
This is also where software bots and AI agents start to overlap with a different idea entirely: instead of a bot handling one task, an AI agent configured to own a full role end to end, the way a human employee would, rather than being triggered task by task.
Where Shogo fits among software bots
Shogo is an AI agent, the third category above. It also covers the overlap described in the FAQ below, a conversational front end with an agent underneath that takes action. Your team talks to Shogo in shared chat channels where people and agents work together, hands off work in a message, and gets it back finished. It builds the internal tools that work needs, and it can switch between OpenAI, Anthropic, and Google models.
Where Shogo is the right kind of bot:
- Tasks that need a judgment call. Reading a request, pulling context from your connected tools, deciding what to do, and doing it, the “reads, decides, acts” loop that scripted bots don’t have.
- Workflows that change often. Shogo builds and rewrites the app behind a workflow when you ask, rather than replaying a fixed recording that breaks when a screen moves.
- Teams that want to own the result. Shogo is open source and self-hostable, and paid plans run from $8 per month (Basic) to $20 per seat per month (Pro) with unlimited usage inside fair-use windows.
Where a different bot is the better choice:
- High-volume, unchanging, screen-level data entry. A dedicated RPA tool built for recording and replaying clicks is the more predictable fit, and often cheaper at scale. Shogo isn’t a click-recording RPA tool. If you’re weighing RPA vendors, our UiPath alternatives comparison covers that market directly.
- Simple FAQ deflection. If a support bot only needs to answer the same twenty questions from a help center, a basic chatbot does that with less setup than an agent.
FAQ
What is a software bot?
An umbrella term for any program that performs a task automatically. In practice it covers three distinct technologies: RPA bots (scripted, rule-based automation), chatbots (conversational interfaces), and AI agents (reasoning systems that decide and act toward a goal).
Is an AI agent a type of software bot?
Technically yes, in the broadest sense of “a bot is software that acts automatically.” In practice, most comparisons treat AI agents as a distinct, more capable category because they reason about a goal and adapt, rather than following a fixed script the way an RPA bot does.
What’s the difference between an RPA bot and a chatbot?
An RPA bot automates a backend task by mimicking clicks and keystrokes across applications. A chatbot is a conversational front end, designed to answer questions or hold a dialogue. One works behind the scenes on a process, the other faces a user directly in a conversation.
Can a chatbot and an AI agent be the same thing?
They can overlap. A chatbot with an AI agent underneath it can both hold a conversation and take real action (processing a refund, updating a record) instead of only answering questions. The label “chatbot” describes the conversational interface, not necessarily the lack of ability to act.
Why does RPA break when AI agents don’t?
RPA bots follow a fixed script tied to how a screen or workflow looked when the bot was built. When the interface changes, or an exception arises that wasn’t explicitly scripted, the bot has no way to reason through it. An AI agent evaluates the situation and decides what to do, which tends to hold up better against change, though it isn’t immune to failure either.
What kind of software bot is Shogo?
Shogo is an AI agent, not an RPA bot or a basic chatbot. Your team works with it in shared chat channels, and it acts on requests across connected tools and builds the internal apps a workflow needs. It’s open source and self-hostable, with a free plan and paid plans from $8 per month. For high-volume, unchanging screen automation, a dedicated RPA tool is still the better fit.
Should I replace my RPA bots with AI agents?
Not automatically. If a process is high-volume, unchanging, and fully rule-based, a scripted RPA bot is often still the cheaper and more predictable option. AI agents earn their cost on tasks that involve judgment calls, exceptions, or workflows that change often enough that a fixed script keeps breaking.
