Case Study
AI-Powered Personalized Communication Coaching for Global Training Corp

From real-time speech analysis to personalized feedback, AIgent Data’s AI-driven coaching platform enhances communication skills at scale—empowering employees with data-backed insights and automated coaching.

Industry

Technology & Software

Service Provided

Artificial Intelligence (AI), Data Analytics, Machine Learning, Predictive Analytics

Region

North America

Function/Department

Advertising and Communications, IT and Technology Support, R&D & Product Development

Case Study - A Communication Coaching Platform with Personalized AI Features

  • Initial Problem
  • Solution Implemented
  • Results Achieved
  • Conclusion

A Communication Coaching Platform with Personalized AI Features of Global Training Corp

Initial Problem

A corporate training and professional development company wanted to improve the communication coaching programs with an AI powered solution. The aim was to provide personalized coaching at scale, aiding employees with accurate communication by offering real-time feedback and actionable recommendations from data insights.

Challenges
  • The traditional coaching techniques were slow, undertaken manually, and very difficult to scale. 
  • Employees needed specific personalized feedback that aligned with each individual’s communication styles.
  • Progress assessments were challenging as actionable insights couldn’t be provided without data driven tools and methods.
  • Existing training systems needed to be integrated, for smooth adoption of the new platform. 

Solution Implemented

AIgent Data developed a customized AI-powered communication coaching platform, leveraging agentic AI architectures to enhance learning experiences. Key features included:

  1. AI Powered Speech & Text Analysis: The platform employed a feedback mechanism based on the analysis of speech patterns, tone and language use.

     

  2. Tailored Coaching Recommendations: The AI powered insights provided personalized coaching strategies to fit the individuals needs.

     

  3. Continuous Performance Evaluation: Dashboards that monitored performance in real time were created and they exemplified possible levels of improvement.
     
  4. Seamless Fusion: The system was incorporated into the client’s already established LMS, as well as their Slack and Microsoft Teams accounts.

     

  5. Automated Session Summaries: AI summarized each session which allowed employees to easily recall important details.

Results Achieved:

  • Requirement Analysis – Analyzing the client’s problems and needs along with their respective KPIs. 
  • AI Model Development – Teaching AI models different styles of comms and their relevancy to the effectiveness metrics. 
  • Integration & Deployment – The solution is placed in the client’s training systems.
  • User Training & Adoption – Deployed classes are meant to increase participation and engagement in the program. 
  • Continuous Optimization – Improve platform performance over time using AI tools

Conclusion

AIgent Data has improved corporate training, specifically techniques in communication coaching, making it more effective, personalized and integrated into the company’s processes through the use of artificial intelligence.

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