Project+AI
Progress, Risks
And Weekly Reports
From project data to management conclusions
Project data is often scattered across tasks, bugs, chats, drive documents, and reports. Project + AI consolidates it into progress, risks, and next-step recommendations.
Track Progress
Summarize completion across requirements, tasks, bugs, iterations, and boards.
Find Risks
Identify delays, blockers, unclosed bugs, missing owners, and abnormal changes.
Reports
Generate weekly reports, standup summaries, retrospectives, and management briefs.
Track Actions
Extract owners, action items, and next-step suggestions to reduce follow-up gaps.
Project risk surfaced early
AI can identify risks from requirement changes, defect accumulation, task delays, iteration exceptions, and member workloads, allowing project managers to intervene earlier rather than waiting for weekly meetings to discover problems.
Weekly reports, reviews, and customer reports no longer start from scratch
AI generates structured reports based on project progress, member dynamics, defect status, and cloud data, suitable for team weekly meetings, management reports, and customer delivery communication.
Project, message, cloud drive linkage
The Duli project is not an isolated system. Project messages can be returned to IM, project information can be accessed on cloud storage, and project+AI can generate conclusions that are closer to real business based on these contexts.
Who should start with Project + AI
Project Managers
Generate weekly reports quickly, track risks, and reduce manual cross-page data collection.
R&D Leads
Understand iteration pressure, defect trends, blocking tasks, and team delivery risks.
Delivery and Pre-sales
Turn project process, delivery progress, and customer concerns into external communication materials.
From "checking data" to "asking for results"
Use Project + AI to organize progress, risks, and next steps automatically so delivery stays under control.
Free Trial
