This is workflow automation you can trust. You run it in a table instead of a flowchart, and anyone who knows Excel can operate it. You see what finished, what failed and what waits for a decision, with measurable ROI.
AI workflow automation · Human-in-the-loop · Approval gates · Run history · Exception handling · Schedules · Webhooks · Event triggers
Answer support tickets from the knowledge base
Each run is a row, each step a column. Scan hundreds of orders or tickets at once instead of clicking through individual executions.
| Ticket | Classify | Draft | Approval |
|---|---|---|---|
| Refund request | Done | Done | Sent |
| Address change | Done | Done | Waiting |
| Invoice question | Done | Running |
When a step needs a person, the row pauses. Correct a value or approve before sending, and the run continues. If you know Excel, you already know how.
| Order | Draft | Approval |
|---|---|---|
| Order 1042 | Ready | Sent |
| Order 1043 | Ready | Waiting |
Inspect inputs and error messages at the affected step, correct the data and rerun only that row. The exception stays with its business case.
Results stay in the table, not in a log nobody reads. Assistants answer questions about them, other automations continue from them and reports count them.
Describe the process, decide where a person signs off, then let it run.
Describe the task, or reuse a task an assistant already completed correctly. You do not redraw it as a node graph: knowledge, tools and rules stay the same.
Choose the steps that wait for approval, for example before an order is submitted or an email goes out. Your team checks the case and releases it in the cell.
Run on a schedule, by webhook or when an email arrives. You see what finished, what came back to a person and the measurable ROI.