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Work moves between your tools on its own.

Most teams lose hours to steps nobody chose: retyping an order, chasing a signature, updating a second system. We map those steps and replace them with automation that retries when something fails, logs every run and tells you when it needs a person.

What we design against

What a build in this line is scoped and measured against — not averages from past clients.

18h
of manual work removed per week, typical
99%
runs completed without intervention
100%
audit trail across every pipeline run
StackWorkflow automation
  • 01Temporal / queues
  • 02Stripe
  • 03Salesforce
  • 04Slack
  • 05Webhooks

The hidden shift

The work nobody was hired to do.

STEP 1Someone's job is moving data between two appsdone by hand
STEP 2Work stalls waiting on one person to notice an emaildone by hand
STEP 3Nobody can say where an order actually isdone by hand

How we get there

From mapping the steps to a run nobody has to watch.

STEP 01
Shadow the work

We watch the current process end to end and time each step.

STEP 02
Pick the wins

Highest-volume, lowest-judgment steps go first.

STEP 03
Automate & instrument

Built with retries and full run history from day one.

STEP 04
Widen the net

Each shipped flow funds the next one.

What holds

What keeps a pipeline running while everyone's asleep.

Process mapping

We shadow the real workflow before writing anything — including the exceptions people work around.

Durable runs

Retries, idempotency, and dead-letter handling so a flaky API doesn't lose an order.

Human-in-the-loop

Approval steps where judgment matters, automated everywhere it doesn't.

Observable by default

Every run is inspectable: inputs, outputs, timing, and what failed.

Try it

Press run and watch it execute.

workflow · run #2,481
t+operationms
—order.paid—
—customer.upsert—
—stock.reserve—
—invoice.draft—
—crew.notify—
triggered by a payment webhook · no human in the path

press run — it executes step by step

What teams ask before handing a process to a machine.

It can start there, but we build code-owned flows when volume, error handling, or cost make no-code tools fragile.
It retries with backoff, then lands in a queue a human can see and resolve — nothing silently disappears.
Yes. Flows are documented and handed over with the repo; we can also train your team on them.

Which step would you stop doing tomorrow?

Describe the one that eats the most hours. We'll come back with what it takes to remove it, and what it doesn't.