The AI-era angle

Make your Jira ready to employ AI agents.

Atlassian builds the agents. We make your Jira — and your team — ready to employ them. Because an agent is only as good as the ticket it picks up; a junkyard just sends AI fast in the wrong direction.

Rovo-ready

We design your data for purpose — including security and PII handling — so Rovo can be effective and responsible at the same time. Effectiveness and safety are one move, not a trade-off.

MCP options

Connecting AI assistants like Claude to Jira and Confluence, scoped and safe — permissions for AI service accounts, guardrails on what agents may touch, and an audit trail.

Tailored AI products

Bespoke AI builds shaped to your purpose, on the infrastructure you already own and your auditors already accept.

AI-DLC on your Atlassian

Intent captured in Confluence, work run and governed in Jira, agents doing the heavy lifting with people in control — a governed loop that gets faster every cycle.

Moving to AI-DLC?

Unsure how to keep Atlassian management control over new team methods? Let us help. We guide your organisation on running AI-DLC, optimising collaboration, protecting PII — with proven playbooks. Two ways to run it: fully inside your Atlassian, or AWS-style with markdown files as the intent layer. We run both — daily.

In your Atlassian — Rovo agents + Confluence
  1. 1Confluence

    Capture intent

    A goal lands as a short, governed brief — not a vague one-line ticket.

  2. 2Rovo

    Draft the work

    Rovo turns the brief into scoped Jira tickets, each with real acceptance criteria.

  3. 3Jira

    Delegate & execute

    Assign a ticket to an agent or a person; it runs against the criteria, fully logged.

  4. 4You

    Approve at the gate

    A human signs off what ships. Nothing merges unreviewed; the audit trail writes itself.

AWS-style — markdown files as the intent
  1. 1repo /md

    Intent as files

    Vision, requirements and plans live as markdown files in the repository — versioned, diffable, owned.

  2. 2AI

    Plan from the files

    AI reads the intent files and drafts the workflow plan and work units, checkbox by checkbox.

  3. 3Agents

    Build against the specs

    Agents execute each unit against the written spec; every step is committed with the reasoning.

  4. 4You

    Gate every stage

    Explicit approval gates between stages; the markdown trail IS the audit log.

Before you switch AI on — five rules

Know what your operation is for before you automate it.

AI amplifies whatever you point it at. If you can't state what your operation is for in one sentence, an agent can't serve it.

Fix permissions before you connect anything.

An AI assistant sees everything its account can see — and repeats it to whoever asks.

Get the secrets and PII out of tickets.

Keys and personal data in comments become AI-retrievable the day you switch agents on.

Make tickets say what you mean.

Agents execute what the ticket says, not what the author meant.

Consolidate your truth before AI answers from it.

If the answer lives in five conflicting pages, AI confidently picks one.

Notice none of these are AI projects. They're operations hygiene — which is why teams that skipped the basics are now doing them under pressure.

Getting AI-ready starts with the foundations.

Book a free call