Automation that tells you when it fails.
A business process automation consultant who ships the pipeline, not a slide deck. The copy-paste between your tools becomes an LLM workflow with logs, approvals and a cost ceiling.
The symptom
"Two people spend every morning copy-pasting between tools."
You get those mornings back. Workflow automation built around an LLM pipeline that logs every decision, asks a human when it isn't sure, and pages you when it fails instead of failing quietly.
What lands in your accounts
How it runs
Time the manual work
We measure what the task actually costs today in hours and errors. That number is what the automation gets judged against.
Draw the failure paths
Before building, we agree what stops for a human, what retries, and what pages you. Money and customer contact always stop.
Ship it behind a ceiling
Your API keys, your storage, training opt-out on. Each workflow gets a spend cap per run so cost cannot surprise you.
Watch it for a month
Full run logs, replayable inputs, alerts when a provider changes shape. Thirty days of cover while it settles.
The terms
Before you ask
Where does our data actually go?
Into your accounts, through API keys you own, with training opt-out on by default. Every place data leaves your infrastructure is written down before it runs in production.
What happens when the model gets it wrong?
Anything touching money or a customer stops for a human. Every run is logged with its inputs and output, so a bad answer is replayable instead of a mystery.
Will it break when a tool changes its API?
Integrations are versioned, idempotent and retried, and they page you when a provider changes shape. Loud failure beats work silently skipped.
How is this priced, and what does it cost to run?
A fixed fee for the build, no hourly rate and no retainer. Each workflow then gets a cost ceiling per run and a dashboard of spend against work done, so the saving is a number you can check rather than a promise.