Teams already running work in Asana
The agents gain the most useful context when projects, ownership, decisions, goals, and supporting files are already well maintained.
Independent tool overview
Asana AI Teammates at a glance
Asana AI Teammates are prebuilt and customizable AI agents that can be assigned work inside Asana, use approved project and integration context, retain team-guided memories, and collaborate through checkpoints and governed actions.
Visit the official Asana AI Teammates site ↗
- Product type
- Governed AI agents inside Asana
- Current catalog
- 30 prebuilt AI Teammates plus custom roles
- Core context
- Asana Work Graph, invited projects and tasks, memories, and approved integrations
- Human control
- Checkpoints, permissions, approvals, audit trail, and reversible actions
- Eligible plans
- Starter, Advanced, Enterprise, and Enterprise+
- Purchase model
- Contract or add-on access; AI Requests are pooled at the organization level
- Related product
- AI Studio for repeatable rule-based workflows
- Last reviewed
- August 30, 2026
Overview
What Asana AI Teammates is
Asana AI Teammates are designed for collaborative work rather than isolated chat. Teams can choose from prebuilt agents for marketing, operations, IT, and product work or define a custom role, give it instructions and examples, grant specific access, and assign it tasks alongside people. The agent can use Asana's Work Graph and approved connected tools to draft, analyze, organize, flag risks, and move multi-step work forward.
The strongest reason to use an AI Teammate is that context, permissions, work, and oversight live in the same system. That also raises the stakes: access errors, weak instructions, stale memories, unreliable outputs, and overbroad actions can propagate through shared projects. Every deployment needs a clear owner, least-privilege access, approval boundaries, tests, monitoring, and a rollback path.
Use cases
Who Asana AI Teammates is best for
The strongest fit depends on the job you need the product to complete, not the size of its feature list.
Marketing and creative operations
Draft briefs and specs, review work against guidelines, localize content, and assemble market insights with human approval.
Operations and PMO teams
Analyze project health, identify bottlenecks, prepare portfolio updates, clean structured data, and track decisions.
IT and internal support
Answer recurring questions from approved knowledge, triage requests, review vendor material, and surface recurring issues.
Product and engineering coordination
Review specifications, organize bug reports, track sprint signals, and support retrospectives without replacing technical judgment.
Capabilities
Core Asana AI Teammates features
Prebuilt agent gallery
Asana advertises 30 ready-to-use AI Teammates spanning marketing, operations, IT, and product or engineering work.
Custom AI Teammates
Describe a role in plain language, add responsibilities, instructions, examples, and role-specific knowledge without writing code.
Task assignment
AI Teammates can be assigned work in projects and tasks similarly to a human collaborator.
Work Graph context
Uses approved work, ownership, goals, dependencies, and organizational context already captured in Asana.
Shared memories
Can retain approved decisions and corrections so later work reflects how the team operates.
Role-specific skills
Prebuilt teammates arrive with editable skills and can be given attachments and guidance for a particular role.
Project and task access control
The agent follows Asana permissions and must be explicitly added before accessing private projects or tasks.
Connected-tool context
Documented examples use Google Drive, SharePoint, Microsoft Office, Google Workspace, and other approved integrations.
Checkpoints and approvals
Teams can keep people in the loop before sensitive or consequential output changes shared work.
Audit trail
Asana says agent actions are auditable and reversible for governance and investigation.
Custom administration
Organizations can control who may create, modify, share, collaborate with, and teach AI Teammates.
AI Studio coordination
AI Studio can automate repeatable workflow steps while AI Teammates handle more collaborative, context-heavy assignments.
Pooled AI Requests
Successful agent work consumes a shared monthly organization pool, with usage packs or on-demand capacity where enabled.
Enterprise privacy commitments
Asana states that it and its AI partners do not use customer data to train their models and that partners delete interaction data after each interaction.
Process
How the Asana AI Teammates workflow works
Step 1
Choose one measurable role
Start with a bounded, reversible job such as drafting a brief or checking required fields, with a named business owner and success criteria.
Step 2
Clean the source context
Fix project access, stale tasks, conflicting guidance, duplicate documents, and sensitive information before the agent learns from the workspace.
Step 3
Grant minimum access
Invite the teammate only to required projects, tasks, files, and integrations, and separate testing from production work.
Step 4
Teach with approved examples
Provide a concise role, explicit boundaries, representative good outputs, prohibited actions, escalation rules, and an owner for corrections.
Step 5
Require checkpoints
Keep human approval before external communication, financial or legal conclusions, record deletion, access changes, publishing, or material status changes.
Step 6
Pilot and measure
Compare quality, cycle time, rework, errors, AI Request consumption, and missed escalations against the existing process.
Step 7
Audit and maintain
Review actions and memories, remove stale guidance, monitor permissions and usage, retest after changes, and preserve a quick disable and rollback path.
Cost
Asana AI Teammates pricing and free plan
AI Teammates require an eligible paid Asana plan. Asana's product and pricing pages describe them as available on Starter, Advanced, Enterprise, and Enterprise+ and direct buyers to sales. Starting in August 2026, Asana is also rolling advanced AI access into eligible subscriptions through pooled monthly AI Requests; included amounts, packs, on-demand rates, and add-on terms can depend on the contract. AI Requests are distinct from AI Studio credits.
Starter
$10.99/user/month annually; $13.49 monthly
The lowest eligible base plan for AI Teammates.
- AI Teammates availability or usage depends on the current add-on and AI Request terms
- AI Studio Basic includes 50,000 separate credits per billing account per month
- No user seat limit
Advanced
$24.99/user/month annually; $30.49 monthly
Adds portfolio, goals, workload, approvals, proofing, time tracking, and scaled controls.
- Eligible for AI Teammates
- AI Studio Basic includes 75,000 separate credits per billing account per month
- AI Teammates consume pooled AI Requests rather than AI Studio credits
Enterprise and Enterprise+
Contact sales
For organizations requiring enterprise identity, provisioning, capacity, compliance, and service controls.
- Eligible for AI Teammates
- Enterprise AI Studio Basic includes 200,000 separate credits per billing account per month
- Contract terms determine included AI Requests and additional capacity
AI Teammates and AI Requests
Contact sales or check account allocation
Access is sold or allocated at the organization level rather than as a standalone consumer plan.
- Requests are pooled across the account
- Included requests reset monthly and do not roll over
- Usage packs and on-demand billing may add capacity
- Teammates pause when the pool is exhausted and no extra capacity is enabled
Pricing checked . Check current pricing at the source ↗
Assessment
Asana AI Teammates strengths and limitations
Where it stands out
- Works where assignments, goals, owners, and dependencies already live
- Provides 30 prebuilt roles plus no-code custom teammates
- Uses organization context instead of relying only on an isolated prompt
- Permission inheritance and explicit private-project membership support least-privilege design
- Checkpoints and approvals can keep people responsible for consequential work
- Actions are represented as auditable and reversible
- Memories can preserve useful corrections across repeated work
- AI Studio and AI Teammates cover repeatable automation and collaborative work respectively
- Admin controls govern creation, modification, sharing, and teaching
- Asana states customer data is not used by Asana or its AI partners to train models
What to consider
- AI Teammates require a paid Asana plan and current AI access or contract terms
- Public pricing does not provide a simple standalone AI Teammates dollar amount
- Pooled AI Request consumption can be hard to forecast because one request may represent an interaction or series of interactions based on complexity
- AI Teammates and AI Studio use different usage units, which can make budgeting confusing
- The value depends heavily on accurate, current, well-permissioned Asana data
- Inherited access can expose more organizational context than a narrowly scoped task requires
- Connected files and tools expand the data boundary and consequences of an error
- Shared memory can compound stale rules, exceptions, or bad corrections
- Generated briefs, summaries, audits, classifications, and recommendations can be incomplete or wrong
- An audit trail does not by itself prevent a harmful action or disclosure
- Reversibility may not undo an external message, copied data, missed deadline, or decision already acted upon
- Prebuilt teammates still need role-specific validation against the organization's policies and quality bar
- Agent-generated pricing, compliance, vendor-risk, HR, legal, or security conclusions require qualified review
- Broad autonomous workflows can create notification noise, record churn, duplicated work, or unclear accountability
- External integrations have their own permissions, retention, security, and availability behavior
- Admins must monitor usage or the shared pool can be exhausted by a small number of users
- Marketing case studies are not independent evidence of outcomes for another organization
- Product packaging is evolving quickly and contract terms may differ from public rollout documentation
Compare
Asana AI Teammates alternatives
The right alternative depends on the specific output, workflow, controls and budget your project requires.
Agents
Notion Custom Agents
A strong alternative for always-on agents grounded in a Notion workspace and connected knowledge workflows.
Explore Notion Custom Agents →Business Operations
Microsoft Copilot
Better suited to organizations whose core work and governance center on Microsoft 365 rather than Asana.
Explore Microsoft Copilot →Project Management
Notion AI
A lighter option for search, writing, meeting context, and workspace assistance without deploying role-based project agents.
Explore Notion AI →Questions
Asana AI Teammates FAQs
What are Asana AI Teammates?
They are collaborative AI agents inside Asana. Teams can assign them tasks, give them approved workspace and integration context, teach role-specific guidance, and review work through checkpoints and an audit trail.
Are Asana AI Teammates available now?
Yes. Asana's 2026 product materials say prebuilt and custom AI Teammates are available, while purchasing and included usage may still depend on sales, rollout, and contract terms.
Which Asana plans support AI Teammates?
Starter, Advanced, Enterprise, and Enterprise+ are eligible. The free Personal plan is not listed as eligible.
How much do AI Teammates cost?
An eligible paid Asana plan is required. Asana directs buyers to sales for AI Teammates, while August 2026 documentation also describes monthly AI Requests included with eligible subscriptions. Confirm the account's included pool, packs, on-demand rates, and contract before rollout.
What is an Asana AI Request?
It is Asana's usage unit for a successful unit of work completed by an AI agent. Requests are pooled across the organization, refresh monthly, and can be supplemented with packs or on-demand billing where available.
Are AI Requests the same as AI Studio credits?
No. AI Teammates and Dash use pooled AI Requests. AI Studio workflows use a separate credit system based on model choice, data volume, output, and execution frequency.
Can an AI Teammate see every Asana project?
Asana says teammates follow existing permissions and must be explicitly added to private projects and tasks. Admins should still inspect inherited access, connected tools, and sharing rules before deployment.
Does Asana train on customer data?
Asana states that neither Asana nor its AI partners use customer data to train their models and that AI partners delete customer data after each interaction. Organizations should still review current contractual and security documentation.
What is the difference between AI Teammates and AI Studio?
AI Studio builds repeatable, rule-based workflows. AI Teammates are role-based agents intended to collaborate on more complex work using project context, memories, and checkpoints. They can be used together.
Bottom line
Our Asana AI Teammates verdict
Asana AI Teammates are most compelling for mature Asana organizations that want agents to participate in governed project work with real context. Start with a narrow, reviewable role; the same connected context and memory that make the agent useful also make permission mistakes, stale guidance, and unchecked actions more consequential.
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