The Blog

As organizations explore AI-driven coaching, large language models offer scalable, affordable, and accessible support—but their lack of empathy, potential inaccuracies, and reliance on public data highlight why human insight still matters in effective coaching.

Enterprises can maximize AI’s potential and ensure secure, personalized, and structured user interactions by leveraging rules-based chatbots that combine automation with strategic control over messaging and ongoing engagement.

Akamai enhanced internal efficiency and knowledge sharing with Avi, an acronym chatbot built on the Mobile Coach Platform that empowers employees to quickly access company-specific terminology, streamline onboarding, and work smarter across the organization.

The Mobile Coach Platform empowers organizations to deliver precise, compliant, and intelligent chatbot search experiences through advanced knowledge base management, vector search, and customizable optimization tools tailored to each organization’s needs.

Norton Healthcare optimized its onboarding experience by introducing an SMS-based chatbot that delivers personalized support, enhances well-being, and improves retention—helping thousands of new hires feel engaged and supported from day one.