Trust and Safety Control Tower

An AI-driven central control tower to run complex global trust and safety operations

Optimized global trust and safety operations. Enhanced moderator protection.

Global trust and safety operations are complex and constantly changing. Different regulations and nuances in content moderation, as well as nonstandardized processes and siloed data, make it difficult to deliver consistent performance.

 

Genpact's Trust and Safety Control Tower combines data, analytics, and AI to embed operational excellence and improve moderator wellbeing.

The data lake and advanced dashboards aggregate data for real-time insights on any data cuts required.

A client using our solution spent up to

20%

less time on reporting processes

We use AI to analyze large datasets to uncover important trends, patterns, and anomalies. This helps plan workflow and staffing requirements and make policy updates.

A client using our solution used up to

1,000

trend insights contributed to a significant increase in policy changes over the previous year. 

The control tower generates insights from multiple data sources for more proactive employee interventions.

Anticipate workload fluctuations to manage workforce planning

Trust and Safety Control Tower can readily adapt and customize itself to the complexity and scale of any platform and operation to drive key outcomes. Trend monitoring and predictive intelligence can anticipate workload fluctuations to manage effective staffing and workforce planning. It supports more than 1,000 digital workflows, around 10,000 moderators, and 50-plus languages at over 19 sites. It tracks, analyzes, and generates actionable insights from more than 100 metrics.

Perform robust analytics by processing and interpreting large data

StarGen, an AI bot for analytics built on the command center's data lake, is designed to process and interpret large datasets to identify trends, patterns, and anomalies. It uses global trends and predictive intelligence to assist in planning workflow and staffing requirements. Additionally, it performs analytics for wellbeing interventions, using inputs from employee sentiment trackers and performance data to build insights for potential interventions.

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