TaskWork + Asana
Asana AI Teammates: supervised assistants for your operation.
For teams evaluating Asana AI Teammates: we define responsibilities, context, human supervision and acceptance criteria before deploying them into live work.
Assignment path
Define what responsibility the assistant takes on
Give it the context and the minimum permissions
Establish who supervises it and how often
Agree on the acceptance criteria
Responsibility
Context
Supervision
Definitions
What has to be defined in an AI Teammate
A useful assistant has a written assignment and a person accountable for its output.
A concrete assignment, not a generic assistant
A useful teammate has a clearly bounded task inside a project, with an expected input and output.
Access to the work, not to everything
It receives the projects, fields and documents it needs to respond, and nothing beyond that access scope.
Someone is accountable for its output
Every teammate has a person who reviews its output and can disable it if performance degrades.
Stages
How an AI Teammate is put to work
First the written assignment, then access, and only then live operation.
We write down what it does, what it receives, what it delivers and in which cases it has to ask a person for help.
We define which projects and fields it can access, and verify that its access scope is the minimum necessary.
It runs alongside the team for one cycle, with outputs reviewed before they affect live operations.
It goes live when it meets the agreed criteria; if it does not, the assignment is adjusted or the case is dropped.
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 activating
Questions to ask before putting an assistant into the operation
How is it different from an automation?
A rule always executes the same way; a teammate interprets context. That is why it needs supervision and acceptance criteria, not just a condition.
Who answers if it gets something wrong?
The person who supervises it. That is why the assignment is defined up front and it is written down who reviews it and how often.
Can we start with just one?
That is the recommendation. A limited assignment lets you measure whether it adds value before scaling assistants across teams.
Write the assignment before activating the assistant
Bring a repetitive task with a clear owner and leave with responsibility, access scope and acceptance criteria.
Evaluate Asana AI Teammates in an assessment with defined scope and supervision.
TaskWork helps turn the conversation into priorities, operating design and next steps in Asana.