Case studies / Work in production
Built for the work behind the result.
The workflow, the agent and the change it made. These stories show how the details of each operation shape what we build.
Across these stories
Less manual coordination. More useful access to data. Workflows that can recover when the path changes.
The work
Client stories
Featured story / AI platform · Workflow engineering
Workflows that can think beyond the graph.
Auxi Labs rebuilt its execution engine so teams could create workflows in plain language and the system could adapt as work unfolds.
Confidential operations client
Recurring operations, handled with a record of every run.
A confidential client moved repeated manual steps into an agent that checks inputs, carries out approved work and verifies the result.
Australian govtech client
Answers from council data, without the report queue.
An Australian govtech company gave council staff a way to ask questions about their data in plain English and get tables or charts when useful.
How we tell these stories
The result needs its context.
Each story connects the original bottleneck to the system we built and the change the client can use. Where a customer has not published a measured before-and-after result, we describe the observed capability without inventing a number.
Your workflow next
Which workflow would you change first?
Bring it to our engineers. We will help map the work, its systems and a useful measure of success.