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About
Built for decisions that will be questioned later.
Ridgepoint Intelligence was founded on a simple belief: when the consequences of a decision are significant,
advice alone is not enough.
Organizations facing legal, regulatory, fiduciary, reputational, or public scrutiny need more than recommendations. They need a structured analytical basis for action—one that can withstand examination long after the decision has been made.
Our work is designed to define the measurable conditions under which action is defensible, supported by evidence, and documented for scrutiny.
Everly Coleman
Ridgepoint Intelligence is the practice of Everly Coleman. With nearly two decades of analytical experience, Everly has worked across healthcare, government, fintech, and commercial sectors—consistently in environments where the analytical basis for decisions faces genuine scrutiny.
As a Government Innovation Fellow with Harvard Kennedy School's Government Performance Lab, she designed decision frameworks for complex public systems. At Indiana University Health, she led analytics supporting new market development, divestitures, and internal vaccine distribution triage during the COVID-19 pandemic.
The methodologies used at Ridgepoint—including pre-committed criteria, convergence-based classification, and documentation built for adversarial review—reflect a career spent in environments where analytical rigor isn't optional. Based in New Mexico, Everly works with organizations facing decisions that demand a defensible analytical foundation.
Travis Hall
Over the past 20 years, Travis has helped build multiple $35M+ ARR SaaS companies, led two successful exits, raised over $180M in venture capital, and driven growth across start-ups and Fortune 500s alike.
As a data-driven strategist and growth coach, he partner with founders, and CEOs to launch high-impact growth initiatives, communicate vision with clarity, and scale with precision.
Chris Rowland
Chris brings more than 10 years of experience in M&A advisory and corporate consulting across Big Four, in-house, and legal environments. His background includes leading complex transactions, advising executive teams, managing high-stakes compliance matters, and building trusted partnerships that support strategic decision-making. Chris also holds both a JD and MBA and is a licensed attorney.
Today, he leverages that multidisciplinary foundation to help organizations navigate AI adoption, optimize business processes, and accelerate digital transformation. He's passionate about identifying high-impact opportunities, simplifying complexity for stakeholders, and building scalable systems that drive long-term growth.
We develop structured analytical classifications for organizations facing high-consequence decisions.
Using pre-committed criteria, evidence-based analysis, decision gates, and defensible documentation, every engagement is designed to establish the measurable conditions under which action can be supported—and defended.