AI for Engagement, Scale, and Impact
The most powerful AI implementations in digital learning don’t just add technology. They make previously impossible pedagogical approaches practical at scale.
By pairing our AI technical capabilities with our deep instructional design expertise, we create AI learning applications that transform engagement.
AI as Enhancement, Not Replacement
With AI’s rapid evolution and adoption, it’s essential to deploy AI to enable, rather than outsource, genuine learning. AI can unlock learning experiences that were once impossible or prohibitively expensive, but it also comes with risks of unproductive cognitive off-loading. When thoughtfully implemented, AI doesn’t detract from learning; it enhances it.
AI as Force Multiplier
We build AI tools that complement your existing delivery model and learning experience, strengthening peer-to-peer learning, teamwork, and collaborative problem-solving. The richest learning experiences strategically combine AI with other pedagogical approaches.
Thoughtful Integration, No Bolt-on Technology
We design purposeful AI interactions that address specific learning challenges. Success comes from aligning technology with learning objectives.
Design your AI Product Roadmap with High Engagement at Scale™
Our High Engagement at Scale™ framework has been pressure-tested over the course of 15+ years and 350+ learning experiences. Using its evidence-based principles to guide AI strategic decisions and implementation ensures you’re delivering simultaneous learner engagement and program scale.
How AI aligns to the Five Ingredients of Engagement:
1. Learner-Centered Content: Personalized learning, including modality, durations, reflections, and goals
2. Active Learning: Digital persona simulations and Socratic tutors
3. Unbounded Inclusion: Personalized pathways, pop-up microlearning, adaptive UI
4. Community Connections: Pitch labs, peer connections, collaboration cases
5. Real-World Outcomes: Toolkits, objection simulations, digital twins
Our End-to-End AI Services
Strategy and Design
- Research-backed AI learning strategy
- Learning experience and product design
- User research and product concept testing
- AI integration assessment
- Change management and training
- AI strategy for both organizational efficiency and effective learning
Build and Execution
- Custom AI solution development
- Rapid prototyping
- Off-the-shelf tool configuration and customization
- User testing and iterative refinement
- Agile method for continuous improvement
Example AI Projects
AI Agententic Search
AI assistant that helps educators navigate complex teaching strategies and find actionable solutions.
- Course catalog search for more comprehensive search results.
- Guided support for identifying the right strategies for classroom challenges.
- Provides educators with real-world tools to apply in their classrooms.
AI Tutor
Lets user practice realistic AI-driven negotiations and receive feedback on soft skills.
- AI-enabled business negotiation simulation for safe practice environment.
- AI provides personalized coaching and feedback
- Scale across multiple contexts and AI personas to match real-world challenges.
AI Video Roleplay
AI roleplay for financial advisors to practice high-stakes client communications.
- Realistic simulations to practice with AI-powered virtual clients.
- Personalized learning to target specific skills gaps.
- Compliance support to align with industry regulations.
AI for Learner Analytics
Automating learning experience analytics for better course authoring.
- AI-driven analysis of course materials
- Scalable course evaluation system based on High Engagement at Scale rubric.
- Rapid, actionable feedback for course authors
AI Course Authoring
AI to solve the blank-page problem.
- Create an entire course from a single prompt.
- Generate multiple content types–video, image, text, assessment.
- Accelerate course creation while maintaining a human in the loop.