AI that understands work. And operates with control.
We design intelligent workflows within Asana, with context, governance and human review at the right points.
More than automation. Intelligence within the workflow.
AI Studio interprets context and performs actions in Asana within the boundaries defined by your team.
Interprets context
Reads fields, descriptions and work history.
Follows instructions
Operates with clear criteria and documented behavior.
Escalates to people
Routes exceptions and critical decisions for review.
Learns from metrics
Quality and impact guide workflow improvement.
From input to outcome, with control.
AI accelerates the process. Rules, permissions and decisions remain visible.
Request
Intake with structured context.
Check
Validated fields, data and rules.
Classify
Context interpreted by the agent.
Review
People approve critical matters.
Execute
Action published and monitored.
From the first use case to scale.
We start with the right process, validate real value and improve with governance.
Prioritize opportunitiesOpportunity Assessment
Use cases prioritized by value, risk and feasibility.
AI Studio Pilot
A real production workflow, with checkpoints and metrics.
Build & Scale
Expansion into new processes with reusable standards.
Managed AI Workflows
Monitoring, adjustments and continuous operational improvement.
AI applied to real work.
Select a department to explore where AI Studio makes an impact.
PMO & Strategy
Executive status updates based on real work.
Clear accountability at every layer.
Technology, implementation and business decisions work together.
Asana
- Platform and infrastructure
- Security and availability
- Native models and controls
TaskWork
- Discovery and architecture
- Instructions, testing and documentation
- Governance and monitoring
Your team
- Data and operational owners
- Access and human decisions
- Acceptance of results
Frequently asked questions.
Does my Asana plan support AI Studio?
AI Studio is available on eligible paid plans. TaskWork validates the plan, scope and required capacity during the assessment.
How long does it take to put a workflow into operation?
Timing depends on complexity and the data involved. A pilot starts with a prioritized process, with testing, governance and acceptance before publication.
Does it require a developer?
Many workflows are built visually. Specific integrations or logic may require additional architecture, defined during the assessment.
How are agents governed?
With documented instructions, permissions, test environments, human review points and quality metrics.
Next steps in Asana AI.
Bring AI to the right process.
Start with an assessment and turn opportunity into a governed workflow.