No systematic oversight of project quality, task discipline, or deadline risks across 200+ active tasks
A services company managing over 200 concurrent tasks across multiple departments struggled with project governance. Tasks were created in the project management system but often lacked proper descriptions, definitions of done, realistic deadlines, or correct assignee allocation. Managers had no reliable way to identify rotting tasks, assess whether logged hours reflected actual effort, or spot deadline risks before they became crises. Weekly status meetings consumed hours but produced little actionable insight because the underlying data quality was poor.
AI-powered project quality auditor with automated follow-ups and daily risk analysis
AITENCY implemented an AI system that continuously audited every task in the project management system against a defined quality framework — checking for complete descriptions, definitions of done, proper tagging, assigned responsibility, estimated hours, and realistic deadlines. The system monitored logged hours and efficiency per assignee, identified stagnating and overdue tasks, and assessed deadline risk using historical completion patterns and current workload. Each day, every responsible person received a personalised analysis of their tasks — flagging risks, highlighting overdue items, and recommending actions. When a task approached its deadline, the system proactively followed up with the assignee, logged their response in the task chatter, and incorporated the status update into management reports with weighted priority scoring.
Delivered in 6 weeks: 2 weeks of auditing the existing task landscape and defining the quality framework with management, 2 weeks of building the monitoring and analysis engine, 1 week of follow-up automation and notification system, and 1 week of calibration with real project data. The task weighting system was calibrated iteratively over the first month of operation.
Results
In overdue tasks within the first 60 days of deployment
Management time previously spent on status meetings and manual task reviews
Tasks meeting all quality criteria, up from 34% before implementation
The daily analysis reports have fundamentally changed how the company manages projects. Managers now spend their time on strategic decisions rather than chasing status updates. The follow-up system creates natural accountability — employees know their responses are logged and tracked, which has improved both task discipline and data quality across the organisation.