FourSight AI Sprint

The project

I co-developed the FourSight AI Sprint with FourSight’s leadership team. The three-hour experience is designed as a new company offering.

Rather than teaching a particular AI platform, the experience gives participants a process for deciding where—and whether—AI belongs in their work. Participants identify friction within a real workflow, consider where AI might provide meaningful support, prototype an approach, evaluate it, and develop a plan for testing it responsibly.

Interactive elements and organizational-governance discussions connect individual experimentation to the realities of workplace implementation.

My role

I designed the learning journey, including its sequence, pacing, activities, transitions, and time allocations. I also created the pre- and post-session work, in-session materials, learning roadmap, presentation deck, evaluation components, and participant resources.

Metacognitive practices were embedded throughout the experience. Participants examine how they frame problems, make decisions, evaluate AI output, and determine what should remain under human direction.

The result

The experience was reviewed and evaluated by FourSight’s core leadership team and is scheduled to launch in October 2026 for use with organizations.

The offering provides a repeatable approach to experimenting with AI and making informed decisions as the technology continues to change.