Business Operations & Automation
Process automation: every case moving, every case visible
The process that depends on people remembering
Repetitive operational work takes hours every week and depends on people remembering to do it: moving data between systems, chasing approvals, sending the same updates, checking that a step happened. When a step is skipped or late, the effects show up downstream as delays, errors, and customers asking where things are.
Earlier attempts at automation can make it worse: fragile point-to-point connections that fail silently, and nobody is sure what they do.
Today
- 01The process runs on a mix of email, spreadsheets, copied data, and individual habit.
- 02Steps start when someone notices that something has happened.
- 03Data is re-keyed between systems, with errors and delays.
- 04Exceptions are handled case by case, and the knowledge of how lives with one or two people.
- 05Existing automations have no monitoring. When one fails, the first sign is a complaint.
Where it breaks: there's no single view of where each case stands, steps silently don't happen, and the process stalls when a key person is out.
Redesigned
- 01The current process is mapped as it actually runs, including exceptions and workarounds.
- 02The future process is designed: which steps software carries out, which stay with people, and what states each case moves through.
- 03A business event starts each run: a form submission, a status change, a schedule, or a webhook.
- 04Inputs are validated, and the case's state is saved before anything else happens.
- 05Orchestration carries out the steps across your systems and records the outcome of each one.
- 06Exceptions go to a named person with context, instead of failing silently.
- 07Monitoring shows what's running, what's stuck, what failed, and how to repair it.
- 08Measurement tracks volume, cycle time, and exception rates, so the process keeps improving.
Follow one case
Events
Case · J-418
- State
- Completed
- Owner
- system
- Total
- $3,180
- Approval
- —
- Invoice
- —
- Sent
- —
- Paid
- —
Event 1 of 7: job.completed
How it fits together
The work starts from the process, not the tool. Discovery and future-state design come first, because automating a broken process only makes it fail faster.
Business state lives in a database or your system of record. The workflow tool orchestrates; it doesn't become the database.
Built from five capabilities
Run
Saved state, recorded steps, approvals.
- trigger
- saved state
- rules
- approvals
- retries
step failed → stop, alert, resume later
Where people stay in charge
Approvals
A decision, recorded
Steps that need judgment pause for a person and resume once approved, with the decision recorded.
Exception queues
A named owner, with context
Cases that fall outside the rules go to a named owner with full context.
Repair
Fix and resume
A failed run can be inspected, fixed, and resumed without starting over.
Process ownership
Someone answers for it
Each workflow and its rules have a named owner.
What changes from one business to the next
n8n is the usual default for visible business orchestration, with PostgreSQL, Supabase, or your own system of record holding business state. When the logic becomes code-heavy, throughput outgrows a visual tool, or long-running reliability becomes business-critical, the work moves to Trigger.dev, application workers and queues, or Temporal. These are starting candidates, not requirements.
Is it the right fit?
Good fit
- The process runs often enough that manual handling adds up.
- Its steps and rules are mostly stable and can be written down.
- Data moves between two or more systems by hand.
- Errors or delays in the process have a real cost.
Avoid when
- The process changes every month, or the people involved don't agree on how it should run.
- It runs a handful of times a year. A checklist is cheaper.
- Most steps need judgment that can't be expressed as rules or a bounded review step.
- The underlying problem is a missing system of record. That needs software or data work before automation.
How we'd approach it
01
Understand
As much as the problem needs
We map how the work runs today: who does what, which systems hold the records, and where it breaks.
02
Design
Decided before it's built
Ownership, rules, integrations and exceptions, agreed with you and written down with acceptance criteria.
03
Build
Connected to what you use
We build the scoped system, connect it to the tools you already run, and test it on the cases that matter.
Questions about process automation
Which process should we start with?
One that runs often, has mostly stable rules, moves data between systems by hand, and costs something when it's late or wrong. We usually find one in the first conversation.
Do we have to change our software?
Usually not. The automation works with the systems you have through their APIs. If discovery shows the real problem is a missing system of record, we'll say so before automating around it.
What happens when an automated step fails?
The case stops at that step in a visible state, a named person is alerted with the context, and once the cause is fixed it resumes from where it stopped. Nothing is silently skipped or done twice.
Who maintains it afterwards?
Each workflow has a named owner on your side, and everything is documented: triggers, rules, alerts and repair steps. We can stay on for changes, or hand it over completely.
Start with one process
Tell us about the process that eats the most time today. We'll show you how it would run, step by step.