Services Custom AI agents
Custom AI agents that do one job well.
A custom AI agent is software that reads, decides, and acts on one defined job, such as entering supplier invoices or sorting incoming requests. BurmLabs builds each agent around a single task and sets the limits it works inside. Uncertain cases go to a person.
Does
One job from start to finish, the same way every time.
A person keeps
Approvals, exceptions, and anything the agent is unsure about.
Starts with
A single task your team can describe step by step.
What it is
An AI agent is different from a chat assistant, which waits for a question. An agent is given a job, the tools to do it, and rules about what it may do. It works through each case by reading what is in front of it and choosing the next step.
That makes agents a fit for work that involves reading and judgment within limits: documents that never look quite the same, messages written by people, records that have to be compared. We build one agent per job, so each is small enough to test properly and easy to switch off.
When it fits
A good fit when
- The inputs vary. Documents, emails, or notes that a fixed rule cannot read reliably.
- The job has a clear end. You can say what a finished case looks like.
- Mistakes can be caught. A person or a check can review the result before it matters.
- There are past cases. Real examples exist to test the agent against.
Not the right tool when
- The steps never vary. A plain workflow is cheaper and easier to trust.
- A wrong answer cannot be undone or reviewed.
- Nobody can describe how the job is done today.
- The task depends on information the agent is not allowed to see.
Illustrative example, not a client project
The invoice agent
Input
Supplier invoices that arrive by email as PDF attachments during the day.
Action
Open each invoice. Read the supplier, line items, and totals. Match every line to its purchase order and enter the matches in the accounting system.
Output
Invoices entered overnight, each linked to its purchase order and the original PDF.
Exceptions
A line with no matching order, a total that does not add up, or a new supplier is not entered. It is set aside for a person with the reason.
How we build and run it
Define the job
We write down what the agent does, what it may touch, and where it must stop.
Collect real cases
Past examples, including the awkward ones, become the test set.
Build and measure
We run the agent against the test set and compare each result with what your team did.
Start in draft mode
At launch the agent prepares work and a person approves it. Limits loosen only where results hold up.
Keep watching
Every action is logged. Odd results alert a named owner, and the agent can be paused at any time.
What changes the scope
- How varied the documents or messages are.
- How many systems the agent has to read from and write to.
- What the agent is allowed to do without approval.
- How many past cases are available for testing.
- How sensitive the information is and who may see it.
Model and software costs are estimated before you decide, and reviewed as usage grows.
Questions
What is a custom AI agent?
Software built for one job that reads the case in front of it, decides the next step, and acts through the tools it has been given. Unlike a chat assistant, it works on its own within set limits and hands uncertain cases to a person.
How is an agent different from workflow automation?
A workflow follows the same fixed steps every time, which suits work where the rules never change. An agent chooses its steps based on what it reads, which suits varied inputs such as documents and emails.
Can an agent make mistakes?
Yes. That is why each one is tested on real past cases, starts by preparing work for approval, and stops when it is unsure. The limits on what it can do alone are yours to set.
Which AI model do you use?
It depends on the job. We choose the model by testing it on your cases, and we build so it can be swapped when a better or cheaper one appears.
Who can see our data?
Only the systems the agent needs for its job. We agree on what it may read and where the data goes before building.
Related services
Workflow automation
Route email, create tasks, collect information, and move data between systems without anyone retyping it.
AI for your existing team
Assistants built around each role, plus the training to use them well. Your people keep the judgment calls.
Integrations
Connect the apps, files, and data you already use, including older systems.
Have a job in mind for an agent?
Describe the task and how your team handles it today. We will say whether an agent, a workflow, or neither is the right tool.