AI-Powered Grow & Learning Management System

IBHC set out to build an enterprise learning and workforce development platform that could scale personalized guidance to every student, employee, and tutor. Traditional LMS tools, built around static courses and one-size-fits-all content, aren't designed to do that. Career guidance, interview preparation, and skills development were happening through disconnected, largely manual channels, so learners rarely got advice tailored to their actual goals, and the organization had no live view of where workforce skills were falling short of market demand. The challenge was defining where Generative and Agentic AI could genuinely personalize learning and career growth without turning the product into a grab-bag of disconnected AI features.

I owned product strategy and AI innovation end-to-end. That started with AI-powered course generation, so personalized learning paths, assignments, and assessments could be produced at a scale no content team could match manually, and extended to real-time AI chatbots serving students, employees, and tutors with contextual guidance whenever they needed it, not just during scheduled sessions.

A central piece of my work was the Skills Observatory, a system for tracking workforce skill demand and supply and surfacing the gaps between them, feeding AI-driven gap models built against market demand and competency frameworks so the organization could see where its workforce's skills diverged from what the market actually needed. On top of that, I directed AI-powered Career & Growth Development Plans aligned to each person's aspirational role, managed the product vision for Avatar-based AI Career & Educational Advisors that gave learners a conversational guide through their own development, and oversaw Avatar-based AI Interview Practice with AI-generated assessments, plus collaborative learning spaces like Study Buddies and mentor communities that kept the experience social rather than purely automated.

Throughout, I ran the AI market research, discovery, and stakeholder alignment needed to get enterprise buy-in on each capability before it shipped. That included validating use cases with education and workforce-development stakeholders, sequencing the roadmap around what would deliver value fastest, and working closely with engineering and data science to keep each AI feature grounded in what the underlying models could reliably deliver.

The platform now delivers individualized learning, career guidance, and skills intelligence at enterprise scale. It has turned a generic LMS into an AI-native system that adapts to each learner's goals, gives tutors and career advisors AI-assisted tools instead of manual busywork, and gives the organization a live, data-driven picture of its workforce capability gaps.