Automation
Workflow automation software that turns a process into an app
Most workflow automation tools ask you to draw the process on a canvas and then live inside that canvas forever. AgentCode asks you to describe the handoffs in your own words, then writes the code and the screens that run them.
You describe the work · the agent writes the code · your team reviews before anything goes live
In short
Workflow automation software moves work between people and systems according to rules: when this arrives, notify that person, wait for approval, then update the record. Most workflow automation tools express those rules as boxes and arrows on a canvas, which reads well until the process grows past one screen. AgentCode keeps the same rules and writes them as code, so the workflow can be read, tested and versioned like everything else your company runs.
What the agent builds for your workflow
- An intake form that captures each request in one structured shape
- Routing rules that send every case to the right queue automatically
- An approval step that waits for a named person before moving on
- Status screens your team reads instead of chasing updates over chat
- Notifications that fire on the events you care about, nothing else
- A record of every step, so you can see where a case stalled
A process from Customer support
The problem
Refund requests arrive by email, get copied into a spreadsheet, and wait for a team lead to notice them before anyone replies to the customer.
What the agent builds
The agent builds a queue app where each request becomes a row with the order details attached, routed by amount, with an approval step above the threshold you set.
What you end up with
One screen showing every open request and who owns it, an audit of what happened when, and the routing rules as code in your repository.
What workflow automation software does
A workflow is a sequence of steps with owners and conditions. Workflow automation software takes that sequence off paper and runs it, so a request cannot sit in an inbox waiting for somebody to remember it. The parts are much the same whichever tool you look at.
- Triggers start the flow: a form submitted, an email received, a record created
- Conditions decide which branch a case takes, usually on amount, region or customer tier
- Actions do the work: write to a system, send a message, create a task
- Human steps pause the flow until a named person approves or rejects
The benefit is the same everywhere: fewer things dropped, a visible queue, and a rule that applies to every case rather than to the ones somebody remembered. What separates the tools is how you express the rules, and what you are left holding once the process is running. A diagram inside a product is a different asset from code in your own repository.
Describing a workflow beats drawing it
Canvas based workflow automation tools work well for a flow of five steps. At twenty steps, with branches for regions and exceptions, the picture stops being the easy part. Reviewing a change means comparing two diagrams by eye, and only the person who drew it knows why a particular branch is there.
AgentCode takes the description instead. You write what should happen, including the exceptions, and the agent produces the code and the screens around it. A person reviews the change before it goes live, and your existing tests run against it first.
- A change is a short description, not a redraw of the whole picture
- Two versions of a workflow can be compared properly, because they are text
- Rules that a canvas cannot express are ordinary conditions in code
The finished workflow arrives as a small web app your team opens in a browser, with nothing to install.
Support workflows worth automating first
Support teams run on queues, and queues are where manual handling shows up fastest. These are the workflows most teams hand over first, written the way you would describe them to the agent.
- Refunds above a set amount wait for a lead, everything below goes straight through
- Inbound email turned into structured cases, with the order attached automatically
- Escalations that move a case to a second queue once it passes an agreed age
- Follow up reminders for cases that are waiting on a customer reply
- Weekly queue summaries assembled from the case data rather than counted by hand
Each one arrives as a working page with the logic behind it in your own code, so a change of policy is a change of one rule. If the same process spans several departments, read business process automation. If it needs judgement rather than rules, read intelligent automation, and see pricing for what each plan includes.
Questions teams ask
How is this different from a drag and drop workflow builder?
A builder stores your process as a diagram inside the vendor product. AgentCode stores it as code in your own repository. You describe the flow once in plain language, review what the agent wrote, and keep it. Branches that a canvas struggles with are ordinary conditions in code here.
Can a non technical person change a workflow?
Yes. Changing a workflow means describing the change: raise the approval threshold, add a queue for one region, notify a second person on escalation. The agent edits the code and runs your tests, and the result waits for approval. Nobody has to open an editor to ask for a change.
Where does the finished workflow run?
The agent works on your repository and hands you the code, and you run the finished app in your own environment, next to the systems it talks to. That keeps customer data inside your own perimeter and means your existing access rules apply without anything extra to configure.
What if our process touches several systems?
That is the usual case. You describe where each piece of data lives and what has to reach where, and the agent writes the code that connects them. Most support workflows touch a mailbox, a ledger and a spreadsheet at some point, and all three are ordinary sources here.
More the agent builds
Turn your busiest queue into an app
Describe the handoffs once, and let the agent write the workflow behind them.