WebWork, a time tracking and workforce management platform, introduced AI-powered analytics in February 2025. In July 2025, the company launched Smart Monitoring, which detects anomalies like burnout risk, irregular activity patterns, and workload imbalances across teams. The platform has continued expanding these capabilities through 2026 with deeper predictive insights.
WebWork was initially created to assist organisations in tracking work time, working on tasks and managing distributed teams. Since remote and hybrid arrangements have become more popular, the platform has adapted to meet the new operational demands that are beyond simple attendance tracking.
Moving Beyond Traditional Time Tracking
Traditional time tracking tools are mainly made to record the working hours and the duration of activity. Although these functions are still applicable, they give only partial information about the work environment of today, where workload balance, teamwork, and complexity of the project are the determining factors of productivity, not time spent in isolation.
Companies are more and more in need of the tools capable of analysing data on the workforce at scale to enable organisations to determine trends and possible areas of operational risk without necessarily maintaining manual control over them. This need has led to the adoption of artificial intelligence in the workforce management systems.
Introduction of AI-Powered Analytics
WebWork launched an analytics service that uses AI in February 2025. The feature was created to examine workforce activity data over time to allow organisations to see trends regarding engagement, workload distribution, and work operational consistency.
The analytics layer also aggregates data across teams and time, instead of providing raw data. This measure enables managers and the operations team to examine workforce patterns in an organised manner, which helps in evidence-based assessment of internal operations.
Smart Monitoring as an Analytical Add-On
In July 2025, WebWork began developing additional AI-based features with the release of Smart Monitoring, an employee monitoring add-on to Smart Monitoring that is an employee monitoring software designed to provide users with useful information without having to manually scan each screenshot or activity log.
Smart Monitoring employs artificial intelligence to evaluate the pattern of activities to detect abnormalities that might qualify the organisation to review. They are high-intensity work over time, distribution of work across the teams, and unusual engagement behaviours. The system is developed to bring up indicators and not conclusions, so that organisations can evaluate the root causes in the context.
Notably, Smart Monitoring is not a real-time surveillance device. Rather, it sums up and puts into context workforce data to point out the team and organisational trends. This method is in line with an increasing trend in favour of analytical control, as opposed to control at the individual level.
Workforce Management as Work Intelligence.
The emergence of Smart Monitoring is an indication of a larger move in the definition of workforce management tools. Time tracking is becoming more and more considered a part of a broader work intelligence system, one that focuses on interpretation rather than measurement.
WebWork is one of the examples of how a workforce platform is changing with organisational needs, and it utilises AI-driven analytics and contextual monitoring. However, with the ongoing change in work structures, the role of analytical workforce systems in enhancing informed decision-making and operational resilience is likely to increase.