AI in the right
place.
Turn ideas into priorities. Assess impact, feasibility and readiness before building with Asana AI Studio.
More possibilities.
A clear direction.
Not every activity needs AI. The assessment identifies candidate processes and helps choose where to start—and what to prepare first.
Recognize these signs?
Recurring manual activities with little standardization.
Time spent classifying and routing requests.
Information manually gathered each week.
Interest in AI, but no defined priorities.
Where should you start?
Explore the quadrants. Recommendations consider evidence from your process.
Start with the clearest potential.
Candidates with meaningful impact and favorable conditions move toward pilot design, subject to prerequisite validation.
- Define a process boundary
- Define success criteria
- Validate owners and data
A good opportunity. A foundation to prepare.
When potential is high but data, access or governance are missing, recommendations start with the obstacles that need resolving.
- Identify dependencies
- Organize data and access
- Reassess after adjustments
Small improvements, with clear criteria.
Simple cases can be considered when effort is proportional to benefit. Ease of implementation does not replace value analysis.
- Estimate effort
- Confirm practical usefulness
- Compare with other priorities
Focus also means knowing when to defer.
Cases with little expected impact and many dependencies stay out of the first wave. The decision can be revisited if the context changes.
- Record the decision
- Avoid premature effort
- Revisit when appropriate
Six perspectives.
One consistent assessment.
Volume
Process frequency and demand.
Repetition
Patterns, variations and exceptions.
Data
Quality, access and availability.
Human decision
Where judgment is essential.
Risk
Sensitivity and consequences of errors.
Integrations
Systems and dependencies involved.
Three stages.
A defined next step.
Map
Interviews and identification of candidate processes.
Assess
Impact, feasibility and readiness analysis.
Recommend
Prioritization and design of the recommended pilot.
From conversation
to plan.
A map to guide decisions, with priorities and conditions for moving forward.
Opportunity inventory
Candidate processes organized in a shared view.
Justified priorities
Comparison by impact and feasibility.
Readiness assessment
Required data, governance and access.
Risks and prerequisites
Dependencies that need attention.
Pilot recommendation
Initial scope and suggested next steps.
Each party contributes
to the right choice.
Asana
Available platform and models.
Product features for operations.
References for assessing capabilities.
TaskWork
Discovery and prioritization of candidates.
Technical criteria and prerequisites.
Guidance for the pilot and next steps.
Your organization
Operational context and needs.
Classification and access conditions.
Validation of priorities and progress.
Essential questions.
Do I need to know which process to automate?
No. The assessment exists to discover and prioritize the most promising candidates based on your operational context.
What does readiness mean?
It is how ready a process is for AI: data quality, governance, access and clear business rules.
Does the assessment include building the workflow?
This stage focuses on mapping, assessing and recommending. Pilot development and implementation need a defined scope in the next stage.
What if the recommendation is not to start now?
The assessment may identify a need to prepare data, review the process or resolve dependencies before building. This finding also guides the next step.
The next opportunity
is in your work.
Discover where to start with AI before investing in development.