Agents that join the workflow. Your team stays in command.
Teammates carry out work stages in Asana, share context and return decisions for human review.
Service requests
An agent on the team. Not another tool.
AI Teammates receive tasks, carry out stages and return work within the environment your team already uses.
Receives work
Joins the workflow with defined scope and instructions.
Uses context
Reads project information to perform the right stage.
Requests review
Escalates exceptions and sensitive decisions to people.
Leaves a trail
Actions and deliverables remain visible and measurable.
Studio designs. Teammates execute.
Two complementary components connected to the same work context.
AI Studio
Defines the workflow, instructions, triggers and checkpoints.
AI Teammates
Work on assigned stages, collaborate and return work for review.
The agent advances. The team decides.
Autonomy within clear boundaries, with review where risk requires it.
Delegate
Scope, context and expected outcome.
Execute
The stage is carried out within Asana.
Review
Exceptions and decisions return to the owner.
Measure
Quality and impact drive improvements.
Agents specialized by work type.
Choose a profile to see how it works alongside the team.
Intake Agent
Receives requests, checks data and routes them to the right workflow.
Before the agent, we prepare operations.
Autonomy only works when processes, data and accountability are clear.
Assess readinessStandardized process
Enough volume and consistency for safe delegation.
Classified data
Mapped access, restrictions and sensitive information.
Defined owner
One person is accountable for the agent, exceptions and outcome.
Quality metric
Clear criteria to monitor, accept and improve delivery.
Every layer has an owner.
Asana
- Platform, product and roadmap
- Native models and controls
- Official documentation
TaskWork
- Impact and architecture
- Processes, data and owners
- Governance and readiness
Your team
- Adoption decision
- Data classification
- Approvals and acceptance
Frequently asked questions.
Is AI Teammates the same as AI Studio?
No. AI Studio designs and orchestrates workflows. AI Teammates act as agents within the work, taking on stages and collaborating with people.
Does AI Teammates replace people?
The goal is to expand team capacity. Human owners retain accountability, review exceptions and make critical decisions.
How can we tell which processes are ready?
We assess volume, consistency, data quality, risk, ownership and mandatory review points during the assessment.
Build the foundation for reliable agents.
Prepare work for agents.
Map the first use case and define the conditions for safe operations.