How AI agents can help your business

How AI agents can help your business

Most people first meet AI through a chat box. You ask a question, get an answer, close the tab and carry on with your day.

An AI agent can go further. With the right tools and permissions, it can keep track of work, run scheduled checks, use business systems and report back when something needs attention. Put it on an always-on cloud server and it does not depend on your laptop being open.

That sounds grand, but the useful part is often quite ordinary: fewer forgotten jobs, quicker checks and less time spent chasing routine work.

For most small businesses, an agent is worth considering when work must be checked repeatedly or passed through several steps. For a fixed one-step task, ordinary automation is usually cheaper, simpler and easier to audit.

At BuildAI, we use Hermes Agent as the base for our own agent setup. We like it because it can run on a cloud server, communicate through Telegram, schedule jobs, use tools, delegate short tasks to subagents and coordinate persistent profiles through its Kanban board. The clever bit is not installing the software. It is deciding what the agent should do, what it must never do without approval, and how its work will be checked.

What is an AI agent?

An AI agent is software that combines an AI model with instructions, memory and tools. Instead of only writing a response, it can take a series of steps towards an outcome.

Depending on how it is configured, an agent might read a task list, check a website, inspect a file, run a report, create a draft or ask another specialist agent to review some work. It can then save the result or send a message back to you.

That does not make it an employee, and it certainly does not make it infallible. Agents can misunderstand instructions, use bad information or choose the wrong tool. Good setups give them clear boundaries, limited access and a human approval point before anything consequential happens.

Why we prefer an always-on cloud setup

You can run an agent on a personal computer, but that computer has to stay awake and connected. We normally prefer a small cloud server or VPS for business use. Hermes describes this as an agent that can live wherever you put it, including a VPS or cloud infrastructure, while you talk to it remotely through Telegram.

For us, Telegram works well because it is already on our phones. Separate groups or topics can keep conversations organised. Marketing can have its own space. Website work, automation, business ideas and general operations can each have theirs.

That separation makes a surprisingly big difference. One endless chat becomes messy very quickly. Topic-based conversations help the agent retain the right context and make it easier for a person to see what is happening.

An always-on setup is not the same as guaranteed uptime. The server, internet connection, model provider and Hermes gateway can still fail. Important jobs need logs, failure alerts and, where appropriate, an independent check outside the agent itself.

What our agents do in practice

Our own setup handles a mix of small routine checks and larger pieces of delegated work.

Check websites and report problems

We use scheduled workflows to check whether websites are reachable. If a site stops responding, the useful outcome is not a green dashboard nobody watches. It is a clear exception message that tells us which site failed and what needs checking.

This is a BuildAI workflow built with Hermes tools, not a promise that installing Hermes automatically gives every business a complete monitoring service. The checks, alert rules and recovery process still need to be designed.

Check that changed websites are backed up

After website work, our process can check whether the production source has been backed up correctly. If it has not, the system can flag the gap and, where the rules allow it, create the missing backup.

We treat backup creation and backup proof as different things. A command saying “success” is not enough for important data. The backup should be verified, stored somewhere appropriate and occasionally tested by restoring it.

Remind us about unfinished work

Agents are good at the boring follow-up that humans tend to avoid. They can review a task board, identify work that is stalled and remind us when a decision is holding things up.

The reminder should explain the decision in plain English. “Task 84 is blocked” is not useful. “The new page is ready, but it has not been approved for publication” is.

Run work from a Kanban board

Hermes includes Kanban-style task workflows that can queue and track agent work. A larger job can be divided into stages, with one task waiting for another to finish.

For example, a research task can run first, a developer can use the findings, and a review task can start only after the development work is complete. The board provides a visible record of what is queued, running, blocked or finished.

This is bounded autonomy, not “set it loose and hope for the best”. Permissions, dependencies and approval gates matter.

Use different agents for different jobs

Our main agent acts as the coordinator. It works out what needs doing and allocates suitable work to other profiles.

A developer agent can make a change in an isolated workspace. A separate reviewer checks the work and reports defects. The main agent then brings the result back for a human decision before a production release.

We built that role separation on top of Hermes profiles and delegation. Hermes provides the building blocks; the developer-reviewer process is our operating model. It only adds real safety when roles have clear instructions, restricted permissions and an auditable hand-off.

Where could this help another business?

A better starting question is: “Which recurring job is clear enough to hand over safely?” Look for something that happens often, follows a reasonably clear process and has a real cost when it is missed. Examples include checking new enquiries, preparing a morning operations summary, watching stock levels, organising documents, chasing internal approvals or drafting routine updates for review.

A useful first agent workflow has four parts:

1. a clear trigger, such as a time, message or task-board status;
2. the minimum access needed to do the job;
3. a defined output or success check;
4. a human approval gate for anything that changes production, spends money or contacts a customer.

If the task cannot be explained clearly, it is usually too early to automate it.

What should remain under human control?

AI agents can be capable and still be wrong. We would not give one open-ended authority to send customer emails, change advertising budgets, publish website changes, make payments or delete business data.

For higher-risk work, we prefer a simple pattern: the agent researches or prepares, another process checks, and a person approves the final action. Access should be limited to the systems and files the agent genuinely needs. Secrets should not be pasted into prompts or left in shared workspaces.

Treat emails, web pages and uploaded documents as untrusted input. They can contain instructions designed to make an agent disclose data or misuse its tools. New Zealand businesses that collect personal information must follow the Privacy Act, so map what data leaves each system, where providers process it, how long they retain it, and whether the setup meets your legal and contractual obligations.

The aim is not to remove people from the business. It is to remove some of the checking, sorting and repetitive admin so people can focus on customers and decisions.

Is an AI agent worth it for your business?

It can be, if there is a repeatable problem worth solving. A complicated agent that saves ten minutes a month is not a win. A modest workflow that catches missed enquiries, protects a website release or saves several hours of weekly admin may be.

We normally start small, prove one workflow and add more only when it is reliable. Over time, the same agent setup can take on monitoring, reminders, research, reporting and delegated project work. The possibilities are broad, but each automation still needs a business reason and sensible controls.

If you would like to explore where an AI agent could help in your business, talk to BuildAI. We can look at the work you repeat, the systems you already use and the safest place to begin. If the numbers do not stack up, we will say so.

Talk to BuildAI