Atlassian AI and Rovo workshop
Select AI use cases that are useful, governed and testable
Enabling an AI feature is not enough to create value. Ovyka’s workshop helps select use cases, verify data and permissions, define human validation and build a measurable experiment around Rovo, Jira and Confluence.
- Use cases prioritized
- Data and permissions verified
- Guardrails and human validation
When to use it
Move from broad ideas to a use case that can actually be tested
- Many use cases are proposed but there are no criteria to compare them.
- Knowledge, issues or documents are fragmented and permissions are difficult to guarantee.
- Teams want to use Rovo or agents without clear human validation and accountability rules.
- A pilot is expected, but the business outcome and success metrics are undefined.
Workshop areas
Assess value and risk before selecting the technology
The workshop can start from Rovo or from a broader business problem, then clarify the appropriate solution.
Problems and users
Decisions, repetitive tasks, information retrieval, content creation, support and relevant populations.
Data and knowledge
Sources, quality, freshness, ownership, permissions, confidentiality and usage conditions.
Use cases and value
Frequency, time saved, expected quality, error risk, adoption and measurability.
Guardrails
Roles, human validation, excluded cases, logging, transparency and error procedures.
Architecture and integration
Rovo, Jira, Confluence, automation, agents, APIs and external systems required by the scenario.
Pilot and measurement
Scope, users, test set, indicators, stop criteria and conditions for scaling.
Expected outcome
An experiment the organization can govern
- Use-case prioritization matrix covering value, feasibility and risk.
- Map of data, permissions, dependencies and points of attention.
- Human-validation rules, ownership and explicitly excluded cases.
- Pilot or prototype plan with population, stages and success criteria.
- Reasoned recommendation: proceed, prepare further or stop.
Approach
Start with the problem and test against explicit criteria
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Formulate
Describe the decisions or tasks to improve without assuming the solution.
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Assess
Compare value, data, feasibility, risk and governance constraints.
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Design
Define the scenario, guardrails, human validation and integration.
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Measure
Prepare a pilot with observable criteria and an exit decision.
Controlled scope
Automate what the organization already controls
Useful automation accelerates a process the team already understands, has defined and can execute. It replaces part of the human workload to save time without hiding ownership or business rules. If the process, data or permissions are not yet controlled, the workshop first identifies the foundations to strengthen before launching a pilot.
Talk to an expert
Which AI use case genuinely deserves a pilot?
Describe the problem, users, data sources and expected outcome. We will help scope the right workshop.