Workerflow.ai
Workflows

The process you already run, running itself

Lay out the steps once. From then on it runs the same way every time, at any hour, on every order, ticket and invoice that comes in. You keep the decisions that matter.

Order intake · run #2,104 Running
4 steps done1.8s elapsed0 errorsEvery step written to the log
Same result
On the thousandth run as the first
No code
Built and changed in the editor
Every run
Logged step by step, exportable
Your call
Approval gates wherever you want them
Triggers

Work arrives, the workflow starts

Nothing to remember and nobody to chase. The systems you already use kick it off.

REST API
Any system you run
Email
Inbound messages
Stripe
Payments and disputes
Shopify
Orders and customers
Jira
Issue events
Telegram
Bot messages
Web chat
Widget on your site
Schedule
Hourly, daily, monthly

Anything with an API can start a run. If it can send an HTTP request, it is already supported.

Building it

Drag the steps, not the deadline

The editor is a canvas: drop in a step, connect it, configure it on the right. The people who know the process can read it, which is usually the difference between an automation that survives and one that does not.

  • Steps you can name in plain language
  • Test a run before anything goes live
  • Change it without waiting on a release
  • Versioned, so you can roll back
Steps
AI step
Condition
API call
Data store
Approval
Email
What it can do

Real processes are not straight lines

Branches, retries, waiting on a person. The awkward parts are where most automations give up.

Branch on anything

Route by value, customer, country or whatever the last step returned.

Loop over lists

Handle a hundred line items the same way you handle one.

Wait for a person

Pause mid-run for a review, then carry on exactly where it stopped.

Retry and recover

A flaky third-party API does not lose the run or the data.

Guardrails

Check the output against your rules before anything leaves the building.

Test runs

Run it against real data without touching production or sending anything.

Every run on the record

When someone asks what happened, you can show them

Each run writes a timestamped record: what came in, what each step decided, which model ran, what it cost, what went out. It is the difference between trusting an automation and hoping.

  • Inputs and outputs on every step
  • The model used and the tokens spent
  • Failures with the actual error, not a shrug
  • Exportable for audit and compliance
Execution logrun #7,731 · exportable
09:14:02.118TriggerOrder #7731 received
09:14:02.140Check stockGET /inventory/7731 → 200
09:14:02.362Conditionin_stock = false → Backorder
09:14:02.377Data store3 matching supplier records
09:14:03.901AI stepDrafted customer note · 412 tokens
09:14:03.944ApprovalWaiting on Elena (credit over 500 EUR)
Nothing hidden: inputs, outputs, model used and cost, on every step.
Where teams start

Pick the process nobody wants to own

The best first workflow is boring, frequent and annoying. Those pay for themselves fastest.

Finance

Invoice and expense intake

Read the document, match it to a PO, flag the exceptions, push the rest through.

Support

Ticket triage and routing

Classify what came in, set priority, attach the history, land it with the right team.

Sales ops

Lead enrichment and routing

Fill in what the form did not ask, score it, assign it, notify the owner.

E-commerce

Order and returns handling

Stock checks, backorder notices, refund eligibility, courier updates.

Reporting

Scheduled reporting

Pull the numbers on a schedule, write the summary, send it before the meeting.

Onboarding

Customer and staff onboarding

Kick off the accounts, the documents and the reminders from one trigger.

Invoice intakeTicket triageLead routingStock checksRefund eligibilityScheduled reportsDocument extractionOnboarding kickoffPayment retriesCourier updatesInvoice intakeTicket triageLead routingStock checksRefund eligibilityScheduled reportsDocument extractionOnboarding kickoffPayment retriesCourier updates
Which one do I need

Workflow or agent?

Most companies end up running both. The question is only which one fits the job in front of you.

Use a workflow when

  • You can draw the steps on a whiteboard
  • The same input should always give the same path
  • Auditors will ask why it did that
  • Volume is high and the work is repetitive

Use an agent when

  • The number of steps is not predictable
  • It has to read the situation first
  • The work is research, judgment or a conversation
  • You would rather set a goal than a script
See AI agents

Bring us your least favourite process

Describe it in a call and we will come back with the workflow mapped out, so you can see the shape of it before committing to anything.