FEATURED STRATEGIST
FRED GOFF
PIONEERING OPERATIONAL AI
Fred Goff is the architect of strategic AI roadmapping & implementation at The Excelsior Group. With a career defined by operational turnaround and technological foresight, Fred empowers enterprise leaders to transition from traditional overhead models to agile, AI-enhanced ecosystems. His methodology blends deep human capital insights with the transformative power of Generative AI, ensuring that operational efficiency is matched by visionary leadership. Under his guidance (and often direct contributions), clients achieve not just incremental improvements, but fundamental shifts in their competitive posture within the global marketplace. Fred has built and run AI companies in the hedge fund, consumer internet and HRtech space. He holds a BS and an MS from Carnegie Mellon University and a Master's from MIT (where he studied with his thesis advisor, Clay Christensen, from Harvard). Fred, a former EY Entrepreneur of the Year, has been an MIT Computer Science Artificial Intelligence Lab affiliate for over 15 years.
In addition to consulting services, Fred is available for speaking engagements having a history of such at universities (e.g., MIT, Harvard); conferences (e.g., HRTech, TATech); and media (Bloomberg, Necn, ABC, WSJ, Forbes, FastCompany, etc).
NOTABLE Recent gen-ai PROJECTS
problem CLASSIFICATION
Transform internal employee base
THE CHALLENGE
An industry under downward price shocks, needs to streamline ability to operate more leanly wihtout losing competitive edge.
AI STRATEGY
Transformd roles, processes, culture, L&D, and org structures to reorient activities to democratize and empower distributed change, and to rethink different means of maintaining and growing the business.
MEASURABLE IMPACT
3x the revenue/employee
problem CLASSIFICATION
Improve Profitability
THE CHALLENGE
Company needed to change its profit profile in face of fast changing industry
AI STRATEGY
Leverage LLM tech and new ways to optimize from output and processing thereof to materially move both sides of a marketplace - cheaper acquisition - greater ltv.
MEASURABLE IMPACT
Doubled Gross profit margins
problem CLASSIFICATION
Update Product for new AI world
THE CHALLENGE
Static customer journey mapping considered only incremental workflow changes with genAI. Needed to rethink where the market would be - not improve upon where it is.
AI STRATEGY
Built a model agnostic agenticAI tech stack that easily tied into legacy data and tech stacks to stand up unlimited Agents (both functional and performance), which didn't just interact but deliver tangible outcomes.
MEASURABLE IMPACT