TaskWork + Asana
Asana AI Studio: governed pilots to automate real work.
For teams exploring AI in real workflows: we define scope, controls, human review and success criteria before scaling an AI Studio pilot.
Pilot path
Pick a workflow with volume and stable rules
Define what the automation decides and what it does not
Run it with documented human review
Decide with data whether to expand or close it
Scope
Approvals
Baseline
Framing
What defines an AI Studio pilot
A pilot should support a data-based decision, which requires defining the scope before configuring any automation.
One workflow, not the whole operation
The pilot starts where there is repetitive volume and stable rules, so the result can be compared against the baseline.
What it can decide and what it cannot
We put in writing which actions the automation executes on its own and which ones require a person’s approval.
A record of what the AI did
Every intervention is logged, so errors can be audited and the rule corrected instead of calling the entire system into question.
Stages
How we run an AI Studio pilot
From the chosen case to the decision, with the controls defined before the first run.
We look for a workflow with volume, clear rules and a result that is already measurable today, so there is something to compare against.
We define inputs, limits, approvals and what should happen when the automation is not confident enough.
We run it within a limited scope, with human review of the outputs and a record of the cases that fail.
We compare against the baseline and decide whether to expand, correct the rule or close the case.
Decision without empty promises
The page sells clarity and method, not loose numbers. Public references guide the conversation, but outcomes depend on real context.
Before the pilot
What has to be settled before automating
What happens to the company’s data?
The scope defines what information enters the workflow. Whatever is not needed for the task is not sent, and that is agreed before configuring.
Does the AI replace someone on the team?
In a pilot, no. It reduces classification and preparation work; decisions with impact remain with a named person.
When is it better not to run the pilot?
When the process still changes its rules every week. Without stability there is no baseline, and the result cannot be interpreted.
Limit the pilot scope before configuring it
Bring a workflow with real volume and leave with scope, controls and a clear decision criterion.
Bound your AI Studio pilot with an objective assessment.
TaskWork helps turn the conversation into priorities, operating design and next steps in Asana.