Project management edition
This week, Jira, Monday and Asana take over coordination work, while AI bosses hit the brakes themselves.
Jira's new agent writes your health checks and stakeholder updates for you
The Delivery Agent from Jira's summer release writes standup reports and status updates, but it only sees what's in Jira.
Atlassian has fully rolled out the Jira Summer 2026 release since late August. The main part for project leads is called the Delivery Agent. It takes over recurring coordination work, like health checks, standup summaries and updates for your client. These are created automatically through ready-made automation templates in the Jira Summary view. There's also stuff that touches your planning directly: formula fields (fields that do their own calculation) and individual capacity planning, which shows you per person how much room is left. The software board has also been rebuilt: it loads 22% faster, with swimlanes and subtasks on the cards. You can now link work items to broader 'Atlassian Projects', so you can see how daily work rolls up into a programme-level initiative. That's exactly the gap many project leads build a manual sheet for every month. A separate analysis from early September describes where this is heading: Jira agents are becoming more proactive, flagging risks, drafting updates and taking over routine work. The Teamwork Graph helps plan, delegate and monitor work across the whole development cycle, with links to GitHub and Confluence. Experts expect future agents to even negotiate dependencies between teams' backlogs and automatically reassign people when priorities shift. This week, turn on one template for your weekly status update and compare the first version with your own view of the project. The agent reads what's in Jira: statuses, dates, assignments, changes. From that, it writes a text using a fixed template. So a standup digest is a summary of what the team changed in the system that day. A health check is a judgement based on dates and progress. The link with 'Atlassian Projects' adds a layer: tasks roll up into a bigger initiative, so one line in the programme report can be traced back to the tickets underneath. The agent only knows the reality inside Jira. A risk someone mentioned in the corridor, a supplier who's having doubts, a team that only updates tickets afterwards: it doesn't see any of that. As a result, the report looks tidier than your project actually is. That's more dangerous than no report at all, because a steering group believes a clean overview. The second thing to weigh up is behaviour: if the agent writes the standup summary, the conversation about it can disappear. Keep the meeting, use the text as a starting point.
Background for subscribersThis week, Jira, Monday, Asana and Copilot are taking coordination work off your plate: standup reports, status updates, resource plans and even a full project plan now come from a prompt or template. That saves time, but every tool only knows what's in the system. Whatever hasn't been updated, or was never recorded, stays invisible in the result. At the same time, Microsoft and a Dutch judge are tightening the rules: if you deploy an agent, you must arrange oversight and rights yourself, and what you paste into a public chatbot can lose its confidentiality. So this week, have your own tool draft one report and check it critically before sending it to a client.
Monday.com puts AI agents alongside your team and shows you the cost
Monday.com announced an AI work platform in early September. In it, AI agents carry out tasks and track them, alongside human team members. For project leads, Sidekick is the most interesting part. It can create, update and query plans in the Resource Planner using plain language. So you ask in one sentence who has room next month, instead of shuffling a schedule yourself. Every AI Workspace account gets 500 free AI credits per month. Also new is an AI Admin Usage dashboard: it shows AI usage per user or team, and you can export it for reporting or recharging costs. Try Sidekick first on a month you already know well, and check whether its view of workload matches yours. Sidekick turns your question into an edit in the Resource Planner: the agent reads existing assignments, capacity and dates, and adjusts or summarises them. The difference from classic automation is that you don't set a rule in advance, you phrase the request each time. The credits work like a counter: every AI action costs one, and the dashboard shows where they go. An agent that's allowed to update plans itself can also quietly change something you were relying on. Agree who is allowed to let it make changes to the planning and who can only query it. And watch the credits: 500 a month sounds generous, but with daily use by a whole team it runs out fast. Check the usage dashboard before rolling it out widely.
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