DATE:
AUTHOR:
The Jira team
AI Admin

Bring clarity, context, and control to AI agents with Agents in Space Settings

DATE:
AUTHOR: The Jira team

As teams increasingly choose Jira as their agentic platform to automate work and accelerate delivery, they need better administrative support and control. Historically, managing these agents at the space level has been fragmented, with settings and triggers scattered across complex automation rules and menus. Without a dedicated space-level home, admins lacked the visibility, context-tuning, and guardrails required to scale AI safely across their teams.

Agents in Space Settings gives space admins a single, centralized hub to discover, configure, and govern all AI agents operating within their space. Admins get complete visibility into agent triggers, can fine-tune space-specific prompts and domain knowledge, and can establish strict autonomy guardrails – accelerating AI adoption while keeping work secure and reliable.

How it works

Discover and activate agents from a single hub
No more hunting through disconnected menus or automation builders. Space admins can browse, evaluate, and enable Atlassian agents, custom Studio agents, and third-party Marketplace agents directly from the dedicated Agents page in Space Settings.

Inspect agent triggers and workflows with full transparency
Gain complete visibility into how and when agents act in your space. Admins can inspect the exact triggers driving each agent – whether initiated by workflow transitions, automation rules, or work item events – eliminating guesswork and ensuring predictable AI behavior.

Tailor space-level prompts and domain context
Provide agents with space-specific instructions, business rules, and domain context. By tuning guidance at the space level, you ensure agent responses and automated actions align perfectly with your team’s specific terminology, standards, and ways of working.

Set granular autonomy controls and auto-approval guardrails
Safely balance speed and oversight. Admins can configure granular autonomy permissions and define explicit auto-approval criteria (such as field update boundaries for the Jira Triage Agent) directly within space settings, ensuring teams benefit from agentic automation without compromising data integrity.

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