As answered by the people who make Project Commander.
Most Jira apps report on what has already happened — burndowns, dashboards, status. Project Commander answers the question those can't: is this plan actually deliverable? It weighs the work remaining against the team's real capacity through your target date and tells you whether you'll finish on time, which sprints are overloaded, and which dependencies threaten the date — with a forecast finish date and a confidence range.
Every number is arithmetic on data already in Jira. Where AI is switched on, it explains and suggests; it never produces a figure. And if scope grows faster than the team clears it, the forecast says the work does not finish, rather than giving a comfortable date two quarters out.
It's a planning-intelligence tool, not a reporting tool, and it runs natively inside Jira as a Forge app, so your data never leaves your Atlassian instance. AI features, when you turn them on, use your own API key — Project Commander never stores or resells AI usage.
Other tools give you one piece — a capacity view, a timeline, or a portfolio roll-up. Project Commander combines capacity, demand, dependencies, and progress into a single feasibility answer.
The forecast walks the plan sprint by sprint and names the person who becomes the bottleneck; it does not work from a team average. It installs natively in about two minutes, includes a What-If view to test changes before you commit to them, and is free while in beta.
It came from a recurring frustration: Jira tells you what's happening, but not whether the plan will actually land — so teams find out too late that a commitment wasn't realistic. Project Commander was built to answer that up front: can we deliver this in the time and capacity we have, and if not, where's the risk — and to make that answer something you can put straight in front of stakeholders.
The native Jira app is built on Atlassian Forge — a React user interface with Node.js resolvers, running entirely inside Atlassian's platform. A standalone browser version at projectcommander.app is built with React and hosted on Netlify. AI features connect to major providers (Anthropic, OpenAI, Google) using the customer's own API key.
Delivery teams that plan their work in Jira and have to commit to a date. Project managers who need to know whether a commitment is realistic and what threatens it; scrum masters and delivery leads planning sprints that keep coming out overcommitted; engineering managers who need to see who is overloaded and where staffing has to change; and PMO and executive sponsors who need schedule confidence and portfolio-level risk they can put in front of stakeholders.
It suits teams running sprints on a Jira board, in story points or time estimates, on a single project or a program of several.