Replatformed Contact Center Analysis & Guidance SaaS Solution

Discover how Mahusai replatformed a contact center solution to enhance agent performance, streamline workflows, and provide real-time analytics.

Challenge

The client’s existing product suite had seen several years of success in helping contact centers analyze and score both voice and digital conversations while providing in-process guidance to agents. However, it faced critical limitations:

  • Security complexity: While necessary, stringent security measures hindered agent efficiency.
  • High configuration overhead: Setup and maintenance were cumbersome and time-consuming.
  • Workflow friction: Agents struggled to integrate the tool seamlessly into their daily activities.
  • Limited managerial insights: Supervisors lacked access to comprehensive real-time metrics and actionable intelligence.

The client sought a complete replatforming to deliver a more intuitive, secure, and integrated experience for both agents and managers.

Solution

Mahusai engineered a robust, future-ready SaaS platform designed to enhance every stage of the contact center workflow:

  • Advanced Conversation Analysis: AI-powered classification and sorting of conversations based on context, enabling accurate KPI tracking, targeted training, and more precise resource planning.
  • Real-Time Agent Prompts: Intelligent in-call or in-chat guidance to maximize the likelihood of positive customer outcomes.
  • Manager & Coach Tools: Dedicated modules for supervisors and trainers offering deep insights into performance gaps, enabling faster and more effective coaching.
  • Seamless Integration & Security: Streamlined installation processes and secure integration directly into agent workflows without sacrificing compliance.

Technology

  • Frontend Development: React, Electron, Vite
  • Backend & Infrastructure: AWS CDK, SST
  • Speech Recognition & Processing: Deepgram
  • Web Application Framework: React (Web)

Results

The replatformed solution delivered measurable operational and user experience improvements:

  • Reduced agent onboarding time due to simplified workflows and intuitive UI.
  • Improved agent performance through timely, AI-driven prompts and guidance.
  • Enhanced managerial oversight with richer, real-time analytics for improved decision-making.
  • Lower maintenance costs thanks to streamlined configuration and reduced manual intervention.

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