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Time TrackNexus For Teams And Individuals
Easily track work hours, manage tasks, and boost productivity with our intuitive time tracking tool—perfect for both teams and solo professionals.
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Reimagine teamwork with Track Nexus: maximize productivity, streamline efficiency, and ensure accountability across office, remote, and hybrid environments.
Seamless Hybrid & Remote Work Solutions
To configure and enhance the existing desktop monitoring application with AI-powered analytics and security features that:
- Assess employee productivity using continuous screenshots, activity logs, and application usage.
- Automatically identify leave days based on login activity.
- Calculate and report daily AI-based productivity scores (“AI Score”) with detailed breakdowns.
- Detect and flag non-work-related activities.
- Detect, flag, and report data privacy/confidentiality risks such as sending official emails to personal addresses, copying files to USB/external devices, or sending data files externally.
- Require users to review their daily analytics before logging off and submit them for managerial approval, ensuring transparency and accountability.
Smart Reasons to Choose Appit Software
Employee Session Tracking & Leave Detection
- Login/Logout Detection:
Log employee login and logout times for each session. - No Login = Leave:
Automatically mark any workday with no login activity as “Leave” (excluding weekends and company holidays). - Session Segmentation:
Divide the workday into active, idle, and break periods based on activity and inactivity.
Continuous Screenshot & Activity Analysis
- Automated Capture:
Capture desktop screenshots at configurable intervals (e.g., every 1-5 minutes) during active sessions. - AI Processing:
Use OCR and image recognition to analyze screenshots, identifying open applications, websites, and document types. - Timestamp Correlation:
Align screenshot data with activity logs for precise time mapping and context.
AI-Driven Productivity Scoring
- AI-Based Classification:
Use machine learning to classify activities as productive, unproductive, or neutral, considering role-specific tasks and context. - Weighted Scoring:
Assign productivity weights to activities based on their relevance to the employee’s role. - AI Score Calculation:
(∑ (“Weighted Productive Activity Time” ))/”Total Logged-in Time” ×100
- Day-Wise Reporting:
Generate daily reports with AI Score, login/logout times, and detailed breakdowns (productive, unproductive, idle time). - AI Observations:
Include brief, automated notes highlighting work patterns or anomalies.
Detection of Non-Work Activities
- Flagging:
Use AI to detect and flag screenshots or activities outside assigned responsibilities (e.g., social media, entertainment, personal browsing). - Alerts:
Notify managers if non-work activity exceeds a configurable threshold. - Review & Annotation:
Allow authorized users to review and annotate flagged activities for further action.
Data Privacy, Confidentiality, and Data Leakage Prevention
- Official Emails to Personal Addresses:
Analyze all outgoing emails from corporate accounts to detect when an official email is sent to a personal email address (e.g., Gmail, Yahoo, Outlook). Flag, log, and report such incidents. - Data File Transfers to External Destinations:
Monitor and flag attempts to copy, move, or transfer sensitive data files to USB storage devices, external drives, or unauthorized cloud storage. - Data File Attachments to External Emails:
Scan outbound emails for attachments containing sensitive data sent to personal or non-corporate email addresses, and flag such incidents. - Flagging & Logging:
Log all detected incidents with user, device, recipient, timestamp, file name, and subject (if applicable). - Real-Time Alerts:
Generate real-time alerts to designated managers or security personnel for any detected data privacy or confidentiality risk. - Reporting:
Include flagged incidents in daily/weekly summary reports with export options (PDF/CSV). - Review & Annotation:
Allow authorized personnel to review, annotate, and take corrective action on flagged incidents. - Policy Enforcement:
Optionally block or quarantine files or emails that violate data transfer policies, based on configurable rules
User Analytics Review and Submission
- Mandatory End-of-Day Review:
Require each user to review a summary of their daily analytics before logging off for the day. - Analytics Content:
The analytics must contain most of the user’s activity for that day, including:- Login and logout times
- AI Score and productivity breakdowns
- Major applications and websites used
- Flagged non-work activities
- Any data privacy/confidentiality incidents
- Submission for Approval:
The user must submit this reviewed analytics report for approval to their manager before logging off. - Managerial Workflow:
Managers receive submitted analytics, review for accuracy and compliance, and may approve or request clarifications/corrections. - Audit Trail:
Maintain a record of user submissions and managerial approvals for compliance and accountability.
Reporting and Data Export
- Automated Reports:
Provide day-wise and summary productivity reports, including leave status, AI Score, flagged non-work activities, and flagged data privacy/confidentiality incidents. - Export Options:
Support data export in PDF/CSV formats for compliance and review.
Privacy and Access Controls
- Role-Based Access:
Restrict access to sensitive data (screenshots, flagged activities, flagged emails, data transfer logs, analytics submissions) to authorized roles (e.g., managers, admins). - Compliance:
Ensure all monitoring and data handling comply with company privacy policies and relevant data protection regulations.
Example Daily Report Structure
Implementation Notes
- The AI configuration should be modular and adaptable to evolving business rules, departmental needs, and data security policies.
- Collaboration with HR, IT security, and management may be required to refine productivity definitions, leave policies, and data privacy rules.
- Maintain high system performance and data security at all times.
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Have a Questions (FAQs)
The main objective is to use AI-powered analytics and security features to monitor employee productivity, detect non-work activities, ensure data security, and provide transparency through detailed reporting and mandatory review processes.
The system continuously captures screenshots, logs user activities, and records application usage. AI analyzes these inputs to classify activities as productive, unproductive, or neutral, calculates a productivity (AI) score, and provides breakdowns in daily reports.
If an employee does not log in at all during a workday (excluding weekends and company holidays), the system automatically marks that day as a “Leave” day in the reports.
Screenshots are captured at configurable intervals during active sessions. AI uses OCR and image recognition to analyze screenshots, identifying open applications, websites, and document types. This data is correlated with activity logs for precise time mapping.