← Back to compareScrumDo vs Atlassian Rovo

Rovo adds agents across Atlassian. ScrumDo makes the work object itself the governed place agents act.

Atlassian Rovo brings AI agents, search, and chat across Jira and Confluence. ScrumDo puts the agents you already pay for (Claude, Codex, Grok, Copilot, Cursor) to work from an accepted card-spec, on your own compute, planned from real customer signal, and never locked to one suite. Agents you run on your own keys carry $0 markup; optional transcription, translation, and PII redaction use the provider and settings you enable.

Suite-bound AI agents compared with bring-your-own agents on one accepted spec

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Choose Atlassian Rovo if you want:

Deep AI assistance across Jira and Confluence
Organizations already standardized on Atlassian
Search, summarize, and assist across existing Atlassian content

Choose ScrumDo if you need:

Agents that execute from accepted card-spec, not just assist
Bring your own agent and your own compute
Customer signal and sensemaking behind the work
Runner choice and proof workflows that are not suite-locked

Best fit for ScrumDo

Use ScrumDo when the work needs more than Atlassian Rovo is built to hold.

Choose ScrumDo when agents should do governed work from an accepted spec on your own compute, planned from real signal, rather than assist inside one vendor suite.

Typical breaking point

The signal starts to break when context, specs, and execution split apart.

Rovo stays an assistant layer when the deeper need is a richer, governed work object that agents execute from with proof, on compute you control.

Migration mindset

Move only when the clearer system helps the work.

Do not confuse strong assistance with governed execution. Move when the work object itself needs to become the contract agents act from, on your terms.

What Atlassian Rovo does well

Strong native integration across the Atlassian suite
Broad assistant, search, and summarization reach
GA agents that can take actions across Jira and Confluence
Enterprise footprint and familiarity
Useful where the work already lives in Jira and Confluence

Where teams hit limits

Priced as a per-seat AI add-on (about $20/user/mo) on top of Jira and Confluence
Agents sit on top of the same thin issue and wiki layer
Customer-signal sensemaking is not the core model
Execution and governance are framed around the Atlassian suite
The work object itself is not redesigned to be the contract agents act from

Execution from a spec, not assistance on an issue

ScrumDo agents run from a human-accepted card-spec with proof and verification, instead of mainly assisting, searching, and summarizing around existing issues.

Your own agent and compute

A local BYOA worker runs on your machine and can reach your environment, instead of execution being framed inside one vendor suite.

Signal is part of the work

Customer stories and delivery evidence stay attached to the card and inform the spec, instead of living as separate content the assistant reads.

Governed roles and proof

Propose, execute, and verify are separate governed roles with proof workflows, rather than agent assistance layered onto issue and wiki records.

Comparison

Question	Atlassian Rovo	ScrumDo
AI assist across the suite	Strong	Focused on the work object
Agents that take real actions	GA, suite-scoped	GA, from an accepted spec
Execution from a human-accepted spec with proof	Assist-led	Built in
Bring your own agent and compute	Suite-framed	Local worker or your agent's cloud
Customer signal behind the work	Limited	Behind the spec
Card-spec as the contract agents act from	Limited	The contract
Runner choice and proof workflows	Limited	Any runner
Not locked to one vendor suite	Atlassian-centric	Open by design
Outcome review tied to the work	Moderate	On the card

Who should switch

Teams that want agents to execute from a governed spec, not only assist around issues.
Organizations that need their own agents and compute, and do not want to be suite-locked.
Teams that want customer signal, planning, and proof around agent work.

Who should not switch

Enterprises fully committed to the Atlassian suite that mainly want AI assistance layered onto existing Jira and Confluence content.
Teams that do not need governed execution from a spec or their own compute and runners.

Migration angle

Start where the gap is governed execution from a spec rather than assistance on issues.
Move higher-risk work onto accepted specs, local runners, and proof workflows.
Keep Atlassian where it is strong while making the work object the place agents are governed.

Rovo layers agents over Jira and Confluence. ScrumDo makes the card itself the place agents act, on your compute, from real signal, governed by a human.

ScrumDo turns stories into clear specs, gives humans and agents one place to work, keeps flow healthy, and leaves an outcome trail worth reviewing.

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