Case Studies

MindBridge Learning

Scaling AI Adoption Through Change Management

In many organizations, AI adoption efforts stall after initial pilots—lacking the structure to scale, the clarity to drive behavior change, or the reinforcement to make practices stick. This case study introduces an implementation model built by MindBridge Learning to help organizations bridge that gap.

By embedding AI Champions in each business unit, aligning enablement tools with role-specific workflows, and anchoring rollout in the Prosci ADKAR change management framework, this approach helps organizations move from experimentation to sustainable, business-aligned adoption.

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AI-Enabled Performance Support Tool Concept

In self-perform construction environments, timely access to reliable guidance can mean the difference between smooth execution and costly delays. This GPT-powered field assistant was designed as a concept prototype for a just-in-time performance support tool for Project Engineers at an international Construction Company. Tailored for post-training reinforcement, it demonstrates how AI agents can empower field teams without adding complexity.

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Aligning Instructional Development Methods in a Decentralized Enterprise

In a decentralized construction enterprise, training development was fragmented—corporate L&D followed a traditional waterfall model, while field teams demanded rapid, just-in-time enablement to support high-priority self-perform work. With no shared system to guide methodology or prioritization, course development was often delayed, misaligned, or overengineered for field realities.

Accelerating Learning at an International Construction Firm

The traditional course development cycle at this international construction company spanned 8 to 12 months—too slow to meet the urgent needs of a water facility enhancement project in Colorado. Project leaders needed a solution that could prepare engineers with field-relevant, hands-on skills in weeks, not months. Here’s how we did it in 8 weeks.

AI-Enabled Roleplay: Emotionally Intelligent Conversations

In hybrid workplaces, navigating emotionally weighted conversations with empathy, clarity, and tact is essential, but rarely practiced. This GPT-powered coaching assistant was developed as a proof-of-concept to simulate brief, workplace-relevant roleplays that strengthen emotional intelligence (EQ). Designed for individual contributors, managers, and cross-functional teams, the tool offers just-in-time practice in skills like self-awareness, self-regulation, empathy, relationship management and constructive feedback. It shows how AI can serve as a scalable coach—enhancing human interaction without replacing it.