Gen-AI-Today

GenAI TODAY NEWS

Free eNews Subscription

Saarthee Launches Tool for AI-Based Contact Center Agent Training Simulations

By Tracey E. Schelmetic

Most call center managers (as well as call center agents, specifically) will agree that new hires gain more skill and experience from actual customer interactions than from classroom training (or even one-way interaction computer-based training). Few contact centers, however, want to risk their customer relationships by setting rookies up on complex customer calls and other interactions.

So, advanced technology solutions provider Saarthee recently launched a generative AI-based customer experience (CX) agent training simulator called saarATS. With the launch, the company says it aims to "revolutionize how businesses train and empower their customer service agents." The new tool uses generative AI to create dynamic training programs that simulate real-life customer interactions. This AI-driven approach ensures that agents are better prepared to handle a wide range of customer inquiries, enhancing their problem-solving skills and overall performance.

saarATS generates lifelike customer interactions and scenarios that help agents practice and refine their responses in a safe, controlled environment. It also tailors training modules to individual agents' respective skill levels and learning styles, ensuring a more effective and engaging training experience. Agents receive real-time feedback regarding how they handled the simulated customer contacts. saarATS leverages AI to analyze agent performance data, identifying trends and insights that can inform future training initiatives and overall CX strategies. Ultimately, the goal is to speed up training for agents so companies can deploy them in real-life customer interactions more quickly.

"Customer experience is at the heart of every successful business, and our new Generative AI-based tool is set to redefine how companies train their customer service teams," said Shikha Miglani, CEO of Saarthee, in a statement. "By providing realistic, AI-generated scenarios, agents can gain invaluable experience and confidence, leading to improved customer satisfaction and loyalty. What is really unique about our Agent is that we have brought our extended Voice Analytics experience and expertise to enrich the simulator for realistic experience."




Edited by Alex Passett
Get stories like this delivered straight to your inbox. [Free eNews Subscription]

GenAIToday Contributor

SHARE THIS ARTICLE
Related Articles

How to Grow Your YouTube Channel Faster With an AI Shorts Generator

By: Contributing Writer    7/22/2026

YouTube Shorts has become one of the most effective discovery tools available to creators in 2025. Channels that had plateaued on long-form content al…

Read More

The Trust Gap Is the Real Bottleneck for Agentic AI

By: Erik Linask    7/21/2026

As enterprises move autonomous AI agents from pilot to production, they need to establish verifiable identity, real-time authorization, cryptographic …

Read More

The Workplace Safety Trends Shaping AI Adoption in 2026

By: Contributing Writer    6/30/2026

Workplace safety teams are under pressure from every side. They need fewer incidents, faster reporting, better visibility, cleaner audits, and safer b…

Read More

The Invisible Attack Surface: AI Agents Are Becoming Enterprise Security's New Blind Spot

By: Erik Linask    6/17/2026

WitnessAI's new Agentic Control platform gives enterprises a single control plane to discover, govern, and secure AI agents, MCP servers, and tool acc…

Read More

Why AI Humanization Is Becoming a Critical Layer in Modern Content Workflows

By: Contributing Writer    6/17/2026

Explore why AI humanization has become an essential layer in modern content workflows, from maintaining brand voice and editorial quality to meeting e…

Read More

-->