Project Managers spend an enormous amount of time collecting updates, chasing stakeholders, reviewing tickets, summarizing progress, and creating reports for leadership. The problem isn't usually a lack of information—it's that the information is scattered across multiple tools. Team updates live in Slack, tasks live in Jira, blockers are mentioned during meetings, and executives want a concise summary they can read in under two minutes.
An AI Project Status Reporting Agent solves this problem by automatically gathering project information from your various systems, analyzing the data, identifying key progress and risks, and generating stakeholder-ready reports. Instead of spending hours every week creating status reports, the agent can produce them automatically on a schedule or on demand.
In this tutorial, you'll learn how to build an AI-powered Project Status Reporting Agent using Make.com. By the end, you'll have a system that collects project data, analyzes project health, generates executive summaries, and distributes reports automatically.
The agent will:
The workflow will run every Friday afternoon and deliver a polished project update without manual effort.
Imagine you're managing a software project.
During the week: