Riley Howell
Riley Howell is a leading AI architect and hands-on innovator who helps organizations build transformative, enterprise-grade AI capabilities. Specializing in AI solutions architecture, organizational adoption, risk assessment, and emerging AI policy, Riley brings a rare blend of technical depth and strategic foresight to every engagement. He works across industries—including financial services, insurance, construction, retail, tribal nations, and non-profits—developing custom AI systems that solve complex business problems, accelerate innovation, and deliver measurable value. Known for translating frontier technology into operational results, Riley is a trusted advisor to leadership teams navigating AI transformation at scale.
Experience
At FPOV, Riley combines deep engineering expertise with practical implementation skill to guide organizations through every stage of AI adoption. He has led the development and execution of enterprise AI upskilling programs for institutions managing over $200B AUM, focusing on behavior change and workforce enablement—not just tool exposure. His approach has driven measurable increases in productivity and employee confidence, helping companies embed AI into the fabric of daily operations.
Riley is recognized for designing complex AI systems tailored to specific organizational needs. His portfolio includes predictive risk models for insurance carriers, behavioral analytics engines for assessing AI readiness, and custom financial impact models that quantify the ROI of AI tools based on adoption behaviors. He also designs and deploys synthetic expert systems that streamline internal operations and decision-making processes.
Beyond implementation, Riley operates at the strategic edge of AI policy and infrastructure. He was a lead contributor to the Governor’s Task Force on Emerging Technologies: AI Strategy for the State of Oklahoma, and has authored pioneering research on the economic and infrastructure implications of large-scale AI adoption—addressing topics such as national energy demands, policy frameworks, and regional economic shifts.
Riley’s expertise also spans AI risk and cybersecurity. He provides organizations with threat assessments and awareness training around synthetic media, deepfakes, and AI-powered attacks—grounding executive teams in the evolving landscape of AI-driven risks and resilience strategies.
A core contributor to FPOV’s AI ThinkTank experiences, Riley develops immersive, real-time environments that allow executive leaders to experience AI disruption firsthand. His innovations include Techno Supremacy (a live economic simulation), bespoke AI automation systems for strategic ideation, and multi-agent AI ecosystems that synthesize complex discussions into actionable outputs. These technologies have redefined how FPOV’s clients engage with AI—and with the future.
Background
Before joining FPOV, Riley engineered complex systems at Stroud Safety, where he designed predictive modeling tools for ballistic protection and reverse-engineered parachute systems for motorsports safety. He automated sales tooling using physics-based algorithms to match client specifications with product configurations—delivering speed and precision at scale.
Riley holds a BS in Mechanical Engineering Technology from Oklahoma State University. While there, he led the design and build of an AI-controlled robotic Foosball system, combining simulated neural networks and real-time hardware control. The project earned national attention, including recognition by the U.S. Secretary of Energy.
