Keynotes
&
Workshops
Helping financial advisors and firms think bigger, differentiate faster, and build practices that stand out in a rapidly evolving industry.
SIGNATURE KEYNOTE
Get the EDGE™
How Top Advisors Build Practices That Stand Out, Scale, and Create Freedom
Most advisors are working hard… but blending in. In this keynote, Kristin Andree challenges the status quo and introduces her Advisor EDGE™ framework — a modern approach to growth built on the three stages of an advisory practice: Emerge, Elevate, and Exit. As AI gets smarter, clients get more informed, and expectations continue to rise, “being good” is no longer enough. The advisors pulling ahead are thinking differently — getting clear on who they serve, building experiences that stand out, and creating businesses that scale without adding more complexity. This session pushes advisors to think bigger, move faster, and eliminate what doesn’t belong — while offering practical strategies they can immediately apply to attract the right clients, differentiate their practice, and build a business that creates real options.
SPEAKING FORMATS
Kristin partners with:
Conferences
Annual Meetings
Leadership Events
Advisor Summits
Firm Retreats
Workshops & Strategy Sessions
Enterprise Organizations
Growth-Focused Advisor Teams
All sessions are customized to the audience, organization, and event objectives.
WHAT MAKES KRISTIN DIFFERENT
Kristin combines:
real-world advisor experience
executive leadership perspective
modern growth strategy
emotional intelligence
direct, engaging delivery
actionable implementation
A former Advisor & Fortune 100 Managing Director and founder of the Advisor EDGE™ ecosystem, Kristin is known for helping advisors and firms move beyond generic growth strategies and build businesses that are more differentiated, scalable, and aligned.
Let’s Create an Experience Your Audience Will Remember
Whether you are planning a conference, leadership event, advisor meeting, or strategic workshop, we would love to learn more about your audience and goals.