Distributing Intelligence Across a Franchise Network
October 2025 · Springboard Conference · Presented by Dan Monaghan
A keynote on using AI for competitive advantage rather than task convenience. Frontier models now outperform consultants on strategy and MBAs on ideation, so the real question is where a franchisor points the technology. Drawing on the theory of constraints, the session argues AI should be aimed at the bottleneck in the business — moving up a hierarchy of value from tasks to scale, optimization, and finally AI as a strategic thought partner. Two techniques carry most of the leverage: asking the model to interview you instead of writing a perfect prompt, and building an advisory board of researched personas. The second half covers the demand side, where AI search is displacing Google as the discovery layer, with franchise examples in lead follow-up, dead-lead reactivation, broker matching, and support deflection.
Key takeaways
Aim AI at the constraint in the business, not at whatever task is nearest — most AI use sits at the bottom of the value hierarchy and never reaches strategy.
Stop engineering prompts and start briefing: give the model the problem, ask it to interview you, and treat researched personas as a standing advisory board.
Discovery is moving into the models, and franchise development leads sourced from AI assistants can already close at multiples of organic search.
