The process that runs itself — and tells you when it can't.
Automate the multi-step processes that span your systems — onboarding, syncs, approvals, notifications — with retries when a step fails and full observability of every run. The clever part is easy; we build the dependable part, so you can trust it to run unattended.
A person is the glue holding that process together. They shouldn't be.
Almost every team has one: a multi-step process that someone runs by hand — copy this into that system, wait, check, update the spreadsheet, send the email, remember the follow-up. It works until that person is busy, ill, or leaves, and it quietly fails in ways no one notices until a customer does. This demo shows the alternative: the process mapped once and run automatically across every system it touches, with retries when something hiccups and full visibility into every run. The clever part — connecting the steps — is the easy bit. The dependable part — making it survive the real world — is what we actually build.
Steps, across systems, that survive failure.
- 01
Build the flow
Map a process as ordered steps and branches — triggers, conditions, and actions — once, in one place instead of in someone's head.
- 02
Run across systems
Each step acts on the right tool — CRM, billing, email, database, APIs — with one step's output feeding the next, automatically.
- 03
Retry, don't break
Transient failures retry with backoff; a step that keeps failing dead-letters and alerts, instead of silently breaking the chain.
- 04
Observe every run
See which step a run is on, what data passed through, and exactly what failed and why — then replay it once it's fixed.
One event in, a whole process done.
- 1TriggerAn event starts it
- 2StepsOrdered actions
- 3SystemsEach tool, in turn
- 4RetryOn any failure
- 5ObserveEvery run, visible
An event fires the workflow; it runs the ordered steps, acting on each system in turn and passing data along; if a step fails it retries, and if it can't recover it dead-letters and alerts instead of breaking silently; and the whole run is recorded, so you can see exactly what happened and replay it if needed. A process that used to need a person now needs only a glance.
Dependable, not just clever.
Retries, dead-letter handling, and observability — so it runs while you sleep.
From a whiteboard to a working flow.
Most processes already exist as a diagram in someone's head or on a whiteboard. We turn that into a real, running workflow — the steps, the branches, the “if this then that” — so the logic lives in a system everyone can see and change, not in one person's memory. Change the process later, and you change it in one deliberate place.
- Your real process, captured as ordered steps and branches
- The logic lives in one place — visible and version-controlled
- Change it deliberately, not by retraining a person
Automation you can trust unattended.
The reason most automation never gets trusted with anything important is that it fails silently. We build the opposite: transient errors retry, persistent ones dead-letter and alert, steps are idempotent so retries are safe, and every run is recorded so you can see and replay exactly what happened. The unglamorous reliability work is the whole point.
- Automatic retries with backoff; dead-letter + alert on real failures
- Idempotent steps — a retry never double-charges or duplicates
- Every run recorded, searchable, and replayable
For the process you keep doing by hand.
Ops teams running manual processes
When a person is the integration between your tools — copying, checking, chasing — that person's time is exactly what automation gives back.
Teams who've outgrown no-code tools
When Zapier or Make can't handle the branching, the reliability, or the volume your process needs, this is the next step up.
Anyone burned by a silent automation
If you've had a 'set-and-forget' automation forget without telling you, retries and observability are the difference between trust and dread.
Give the busywork to the machine.
A process mapped once, run reliably across every system — and watched.
The things teams ask first.
Automate the process — reliably.
This Demo Lab build shows the pattern — build a flow, run it across systems, retry on failure, observe every run. Tell us about the process your team keeps running by hand, and we'll map it and scope automating it end to end.