Leobit
Topics Covered
- Why AI R&D matters: the fastest way to validate unknowns before implementation
- When to outsource R&D (and when not to)
- Technical consulting and validation: feasibility assessment as a service
- Optimizing the R&D process with AI
- How R&D differs from and complements discovery
- The four risk lenses for evaluating ideas: desirability, viability, feasibility, usability
- A practical R&D playbook for AI initiatives: using ICE framework to prioritize experiments
- What project success looks like: thresholds, decision logs, measurable outcomes, cost-saving strategies, and how to start small (1–2 weeks, a focused team)
Who should watch
CEOs & Founders
Decision-makers who want to understand how structured R&D and early technical validation can reduce risks, save time, and guide investment aimed to improve existing products and processes.
CTOs & Tech Leaders
Technology leaders responsible for ensuring technical feasibility, optimizing R&D workflows, and guiding teams through early-stage validation, prototyping, and process improvements.
Product Innovation Leads
Leaders managing product experiments and innovation who are looking for frameworks and tools to validate assumptions, prioritize initiatives, and maximize the impact of R&D on current solutions.
Project Leaders
Managers overseeing project execution who want to improve efficiency, reduce risks, streamline workflows, and implement validated solutions.
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