AI with autonomy.
You in control.
Roles, data, human review and monitoring. Structure governance for your Asana workflows with TaskWork.
Control starts
with design.
Define who is accountable, which data enters and where a person must review. Governance accompanies a workflow from its initial idea to improvement or retirement.
The essential questions
Defined roles, access and owners.
Mapped data, exceptions and approvals.
Testing, quality and consumption under review.
Governance translated
into concrete actions.
Select a domain to explore its controls.
Every workflow has an owner.
Define who creates, edits, approves and monitors AI. Access must reflect each person’s responsibilities.
- A defined owner for each workflow
- Permissions matrix
- Criteria for access approval
Critical decisions go through people.
Organize the data AI can use and the points where an output needs human assessment.
- Data classification
- Workflow review points
- Exception handling
Improve with validation criteria.
Document expected behavior and test changes before incorporating them into operations.
- Defined test cases
- Version and adjustment history
- Acceptance criteria
Visibility to stay in control.
Monitor quality, consumption and signs of deviation to guide workflow reviews.
- Quality indicators
- Credit budget
- Monitoring routine
From the first idea
to the next version.
Idea
Objective and impact
Approval
Scope and owners
Build
Instructions and rules
Test
Acceptance criteria
Operation
Monitored usage
Monitoring
Quality and consumption
Review
Documented adjustments
Retirement
Planned closure
Useful documentation.
Traceable decisions.
Workflow register
Purpose, owner and status of each workflow.
Permissions matrix
Who accesses, configures and approves.
Instruction library
Organized context, rules and guidance.
Test cases
Scenarios and criteria to validate results.
Change history
What changed, why and who validated it.
Credit budget
References for monitoring consumption.
Each party with
its responsibility.
Asana
Platform features and security.
Capabilities available in the product.
References and subprocessor information.
TaskWork
Roles, criteria and review routines.
Workflow structure and documentation.
Recommendations for monitoring operations.
Your organization
Classification and validation by the responsible departments.
Approvals and internal owners.
Adoption decisions and organizational criteria.
Clarity to move forward.
Does this guarantee legal compliance?
Governance supports internal policies. Compliance depends on validation by your organization’s legal, privacy and security teams.
Who maintains the workflows afterward?
The internal administrator, trained by TaskWork, uses the documentation for implemented workflows. Ongoing support can also be discussed within the scope of Managed AI Workflows.
Should governance start before development?
Yes. Roles, data, review criteria and testing should guide the design. For existing workflows, we can assess these areas to organize the necessary adjustments.
Does every AI action need manual approval?
Review points are defined according to the process context and criticality. The organization validates where human assessment must be mandatory.
Prepare your AI
to grow with control.
Talk to TaskWork about roles, data and human review in your operation.