AI for Breakthrough Innovation: Analogical Thinking in Action
Programs for Individuals
- AI For Business
- AI for Breakthrough Innovation
- AI for Business Communication
- Business Analytics
- Data Storytelling
- Design Thinking with AI
- Executive Communication for Leaders
- Leadership Agility and Sustaining Team Effectiveness
- Leadership as a Daily Challenge
- Leading with Agentic AI
- Leading with Financial Insight
- Risk, Strategy, and Decisions
- Social Media Intelligence
- Transformational AI & Business Strategy
Use analogical AI to see problems differently, surface unexpected solutions, and drive breakthrough innovation.
Today’s leaders are expected to use AI to produce faster breakthroughs with fewer resources. Yet standard large language models may reinforce familiar patterns of thinking, narrowing the range of ideas teams consider and generating incremental solutions rather than the unexpected advances that create meaningful advantage. Breakthrough innovation often comes from recognizing structural connections across seemingly unrelated fields—from origami-inspired solar sails for NASA to burr-inspired Velcro. Grounded in more than 12 years of Carnegie Mellon research and demonstrated in a Fortune 500 pilot that increased idea novelty by 54% on long-standing challenges, this program shows leaders how to use analogical AI to challenge established assumptions, move beyond siloed thinking, and uncover unexpected, high-impact solutions.
Through hands-on application, participants will bring a pressing organizational challenge into Analogical Engines, an AI platform developed from Carnegie Mellon research to identify and translate relevant approaches across different fields. By comparing its results with those generated by standard LLMs, participants will learn to recognize cognitive blind spots, explore new possibilities, adapt promising ideas to real-world constraints, and determine whether they could work in practice. Real-time tool testing, group collaboration, and peer feedback will equip participants with a practical, repeatable model for AI-augmented innovation, full ownership of the breakthrough concepts they generate, and one month of access to Analogical Engines to continue developing potential solutions after the program.
Data Privacy and Confidentiality
Analogical Engines keeps participant-submitted problems and generated results secure and private. Each participant’s information is stored separately and is shared with other participants only if indicated. Participant data is used solely to support the program delivery and is never used to train AI models. Participants’ data will be automatically deleted at the end of the one-month post-program platform access period, or earlier upon request.
Key Takeaways
- Recognize when standard AI brainstorming is narrowing your team’s ideas, and choose a different approach.
- Restate a domain-specific problem in terms of its underlying mechanism so that solutions from distant fields become visible.
- Apply frameworks to move a candidate idea from analogy to a testable concept.
- Use AI to search for breadth across fields while reserving your experts’ time for depth and evaluation.
- Develop concrete solutions to resolve persistent organizational challenges.
- Continue developing solutions with one month of access to the Analogical Engines platform following the program.
Who Should Attend
This program is designed for leaders and individual contributors who are accountable for innovation outcomes, not only for adopting AI tools.
It is ideal for leaders and contributors who:
- Own a pipeline of product, service, or process problems that would benefit from novel, yet feasible ideas
- Lead cross-functional teams that get trapped in their own silos
- Are being asked to show results from AI investment in innovation and have found that faster brainstorming has not produced better ideas
- Want a repeatable method for breakthrough ideation rather than one that depends on the occasional lucky insight
No AI background is required. The program does not cover AI foundations; it assumes working familiarity with tools such as ChatGPT and goes directly to application.
Sample Schedule
While subject to change, the following schedule gives participants an idea of what to expect in this program.
Opening Insights & The LLM Trap - Examine why standard AI tools systematically homogenize ideation and reduce divergent thinking. Participants score the baseline AI responses generated from their pre-submitted problems against empirical metrics to pinpoint where off-the-shelf LLMs fail.
The SMaRT Framework - Learn the science of analogical cross-domain transfer through frameworks: grounded in more than 12 years of Carnegie Mellon research; leaders deconstruct iconic cross-domain breakthroughs and examine real-world enterprise pilot data.
Applied Case Benchmark - Apply the framework to a practice challenge that benchmarks human table outputs directly against specialized Analogical Engine results to identify cognitive blind spots and see how specialized AI breaks expert fixation.
Engine Lab I: Deep Work on Pre-Submitted Challenges - Working directly with the Analogical Engine, participants work on their actual business problems, surface first-pass candidate directions, and submit parameters for deep overnight AI processing.
Engine Lab II: Iteration, Constraints & Refinement - Analyze the unexpected structural reframings generated overnight by the system. Participants inject real-world feedback, operational constraints, and edge cases into the tool to stress-test ideas and lock in two to three high-feasibility, high-novelty solutions.
Strategic Synergy & Idea Refinement - Explore research-backed and AI-augmented strategies for building cross-functional synergies and refining ideas to capitalize on latent opportunities. Leaders examine key evaluation frameworks and optimization levers required to systematically mitigate trade-offs and maximize value in their ideas.
Leading AI-Augmented Culture & Change - Explore organizational strategies for overcoming institutional inertia and promoting radical innovation to risk-averse stakeholders. Leaders examine key change management levers and cultural shifts required to influence AI-augmented, cross-domain thinking across teams.
Strategy, Business Case & Next Steps - Translate refined breakthrough concepts into actionable strategic plans complete with rapid-testing protocols and executive business cases. Conclude with table synthesis, key takeaways, and distribution of ongoing tool usage credits for post-session application.
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