TCS deploys AI powered software to enable safe return to work for its employees

Tata Consultancy Services announced that it is using its new AI software, IUX for Workplace Resilience, to minimize the risks for its employees and ensure their safety, should their responsibilities require some of them to be in the office during the pandemic.

When COVID-19 forced companies to mandate working from home, TCS deployed its Secure Borderless Workspaces (SBWS) model, enabling its workforce of over 443,000 across 46 countries to work remotely, in just a few weeks. While lockdown restrictions have been eased, TCS has prioritized employee safety and well-being, and has enabled return to work in a carefully calibrated way, for under two percent of the workforce to date. To create a safe workplace for TCSers who need to return to work for some business-critical activities, TCS implemented IUX for Workplace Resilience, which is part of the SBWS framework. From concept to deployment, TCS took just four weeks to begin running the software at its first location.

Part of the award-winning TCS Intelligent Urban Exchange (IUX) portfolio, the software helps enterprises make it safer for employees to return to the workplace amid COVID-19 by combining risk analytics with key business relaunch functions, including workforce safety, regulation compliance, operational resilience, and customer engagement.

With its business command dashboard, IUX for Workplace Resilience improves staff deployment planning by enabling site administrators to monitor the daily risk profile and risk prediction for over 180,000 TCSers in India on a rolling seven, 14- and 21-day basis. Based on the daily risk scores, administrators can decide which of the employees can be safely allowed to return to work, if required.

The software generates alerts if social distancing norms are not followed in common areas, monitors PPE use, and records employee temperatures at entrances and exits. In the event of an infection, it can be used to carry out contact tracing within 20 to 30 minutes versus the normal one week. All employee data and self-declared inputs are encrypted to ensure personal data privacy.

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