By Burak Erol | Ambassador for AI & System of Work at XALT


While there was a lot of talk about Rovo in Barcelona, the real magic happens one level below: Forge and the Teamwork Graph, become a platform on which AI functions are not just „nice,“ but business-critical This article deliberately does not focus on the already discussed elsewhere summarized Rovo headlines, Instead, it shows how teams can now quickly leverage robust benefits with Forge—from data connectivity and governance to reusable agent capabilities.

Diagram of Atlassian Intelligence and Rovo: In the middle, the Teamwork Graph with linked work objects such as Page, Document, Project, Roadmap, Release. On the left are integrated systems such as document management, CRM, product lifecycle management, and data warehouse. At the bottom are Forge Apps and Forge Automations. On the right are user groups: end users, power users, and developers who interact with agents, skills, search, and chat.
The Atlassian AI platform at a glance: Rovo, Forge, and the Teamwork Graph connect data sources, users, and products into a shared ‚system of work.‘.

Atlassian Intelligence: AI in everyday life, not as an add-on

Rovo is not isolated. Atlassian Intelligence runs through Jira, Confluence, and Loom, and demonstrates its value in specific everyday scenarios:

  • Jira Task Breakdowns automatically break down complex initiatives into manageable work packages.
  • Audio summaries in Confluence make content accessible on mobile devices.
  • Video-to-Issue in Loom Converts screen recordings directly into structured Jira tickets—including acceptance criteria.

These are not gimmicks, but functions that are useful in everyday work. a noticeable difference When a 10-minute Loom recording automatically becomes a complete issue, it changes the workflow.

Atlassian connects knowledge, work, and people in a shared data model: the Teamwork Graph,. For developers, this means that apps can read and populate this model—which forms the basis for context-rich experiences, search hits, and AI automations beyond Jira, Confluence, and the like.

Forge: The foundation for extensions

While Rovo gets most of the attention, Forge hidden in the engine room. Among other things, the platform provides access to the Teamwork Graph, ready – the connected data model about issues, people, projects, and their relationships. This can be used to build capabilities that context-aware trade across products.

What this means for organizations

  • Custom IntelligenceDevelopers create own Rovo skills, that access proprietary systems. Rovo answers questions about your CRM, accesses legacy data, and orchestrates workflows across multiple platforms.
  • AI-assisted developmentRovo Studio and Forge enable a new development mode: describe requirements in natural language, generate scaffolding, harden and extend technically.
  • Cross-product automationForge powers workflows via Jira, Confluence, and more—with Reasoning about the teamwork graph for smarter, context-aware operations.

Rovo Studio + Forge: Low-code meets production-grade„

Rovo Studio combines the most important building blocks for creating solutions (agents, automations, assets, hubs, apps). This allows power users to quickly build working prototypes—and development teams to make them production-ready with Forge (including policies, secure secrets, monitoring/observability, audits).

Architectural patterns with rapid effect

1. Bring in your own context (Teamwork Graph)

Connects to external systems such as CRM, PLM, data warehouse, or DMS. This makes their data available in search, chat, and agents—answers are based on your company's reality, not just Atlassian data.

2. Skill library instead of uncontrolled growth

Starts with a few tested skills and clear authorizations (e.g. issue creation with acceptance criteria, asset lookup, approvals). Versioning, monitoring, rolling out - and curate centrally.

3. from studio prototype to forge curing

Transfers successful flows to Forge and adds secrets management, rate limits/retry, audit trails, feature flags and rollbacks. This makes prototypes robust and audit-proof.

4. smart links as UI glue

Uses context-rich link previews to save clicks and increase adoption - especially in Confluence collections and project overviews.

Assets as a platform component

An important signal: Assets is no longer „just“ a CMDB in the JSM context, but is intended as a platform-wide building block. This means that object data (configurations, devices, contracts, master data) Search-, automation- and AI-capable - across products, via Forge and Rovo. For XALT customers with complex IT landscapes, CIs or relationship models, this opens up New transparency and control options.

ConclusionConsider „assets“ as an object layer for AI flows (e.g. „Find available laptops with M-chip, location X, warranty < 3 months“). Agents can act on this basis, not just respond.

Operational maturity: security, rights, visibility

In order to move from prototype to production, these guard rails should be established to ensure security, access control and operational transparency.

  • Governance & authorizations: Defines who can create agents and skills, which access rights (scopes) are required and which actions require confirmation.
  • Visibility & activation: Ensures that Rovo and Studio are visible and activated for the right user groups - including checking plans/editions.
  • Monitoring & Compliance: Set up logging, metrics, audit events and fallback/rollback early on so that you can track processes and roll them back quickly if necessary.

Convergence: lower hurdles, faster innovation

The decisive factor is not a single function, but the Growing together:

  • Non-developers build automations in natural language.
  • Developers:inside deliver deep integrations faster - in a shared AI context.
  • Teams expand capabilities without waiting for vendor roadmaps.

These Democratization is crucial because every organization works differently. Winners adapt tools to their reality - not the other way around.

Tiered pyramid for role distribution in Rovo AI: At the top are non-developers who build automations in natural language; below them are power users who configure agents, skills, and flows; below them are developers who integrate external systems via Forge; at the bottom is the organization that scales AI workflows and gains strategic advantages.
How the convergence of Rovo, Intelligence and Forge is democratizing development: Each role contributes, the organization gains speed and innovation.

What this means for your organization

If you are an XALT customer or are considering our solutions, these developments make the following possible:

  • Immediate results: The general availability of Rovo means that AI features are accessible today, not in the distant future. We support you in activating these features and integrating them into your workflows.
  • Individual solutions: With Forge and Rovo Studio, we can develop customized AI agents and automations that address your specific challenges, be it automating service requests, extracting insights from documents or connecting distributed systems.
  • Strategic advantage: Organizations that adopt AI-enabled workflows early achieve cumulative benefits. Early adopters actively shape how these tools evolve while competitors watch from the sidelines.

The XALT advantage

At XALT, we not only implement Atlassian products, but also design intelligent Systems of Work. As a partner for AI & System of Work, we support you in this,

  • evaluate which AI capabilities deliver immediate ROI in your context,
  • Design workflows that use Rovo, Intelligence and Forge effectively,
  • to build customized solutions with our deep forge development expertise and
  • enable your teams to get the maximum value from these AI skills.

The convergence of Rovo, Atlassian Intelligence and Forge is more than a minor update. It marks a fundamental shift in how work gets done - From manual to intelligent, from isolated to networked, from reactive to proactive.

Ready to find out how? Rovo, Atlassian Intelligence and Forge transform your organization? Contact XALT, to discuss your AI-augmented future. Our team of Atlassian consultants and Forge developers will help you move from Possible to reality to come.

Start your AI transformation now