Jerry Abrams - Principal, A.I. Practice

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AI strategy and capability leader specializing in judgment-amplifying GenAI, enterprise AI readiness, and governed adoption. Founder-level integrator who blends cognitive systems, strategic foresight, innovation science, and leadership development into practical, repeatable operating models. Known for compressing analysis-to-decision cycles 3–7× through AI speed layers, evidence-based diagnostics, and workflow-embedded capability transfer. Stratalyst A.I. Practice focus: helping individuals, teams, and organizations use AI not as automation, but as a thought partner for analysis, ideation, and decision support.

• Capability over dependency: Builds internal AI fluency so clients sustain gains without outside experts.
• Judgment amplification, not automation: Designs AI use to sharpen human framing, synthesis, evaluation, and decision-making. 
• Evidence before opinion: Creates diagnostics, scorecards, and governance guardrails to reduce bias and de-risk adoption.
• Learning-in-the-flow-of-work: Embeds micro-learning, practice labs, and AI “ride-alongs” into real workflows.

AI / Cognitive Systems 

• GenAI as a judgment engine; prompt design; evaluative prompting; RAG & evidence-quality workflows 
• Bias detection, content vetting, meta-tagging, model boundary awareness 
• AI safety patterns and governance for creative + analytical enterprise use 

AI Capability Architecture 

• Individual, team, and organizational AI capability assessments and readiness diagnostics 
• Role-based AI learning sprints and custom workflow-embedded development tracks 
• Cross-functional AI labs, prompt libraries, Center-of-Excellence (CoE) setup

Strategy / Innovation / Leadership Integration 

• Strategic foresight, stress testing, VUCA scenario portfolios 
• Integrated innovation cycle & disciplined prototyping 
• DAC leadership, ACS adult development, applied emotional intelligence 

Decision Science & Complex Systems 

• MCDA/AHP, Monte Carlo risk modeling, portfolio trade-offs 
• Systems mapping, leverage-point identification 

Regulated / Mission Environments 

• DoD/DHS/NASA and other secure or high-consequence contexts 
• OMB A-11, EA, earned value, classified program protocols 

STRATALYST.AI — Founder & Principal, A.I. Practice 

Scottsdale, AZ | 2025–Present 

Leads Stratalyst.ai’s A.I. Practice delivering diagnostics, development, and enterprise-scale AI capability programs. 

A.I. Capability Assessment & Development 

• Designed and delivers Individual AI Capability Assessments using scenario-based prompts and confidence scales to map Knowledge, Skills, Abilities, and Mindsets; produces readiness scores and immediate quick-wins.
• Built Team AI Capability Assessments benchmarking collective strengths, ethics alignment, and shared-workflow readiness; outputs unified capability profiles and action plans.
• Developed Organizational AI Readiness Assessments evaluating strategy alignment, data infrastructure, governance, security, culture, and workforce skills; delivers scorecards and heat-maps for high-ROI adoption.

Enterprise AI Capability Programs 

• Runs phased, enterprise-wide AI capability journeys: executive visioning, ethical guardrails, role-based training, AI labs on live work, reusable asset creation, and CoE model installation; enables sustainable AI adoption in 6–9 months.
• Architects custom AI roadmaps for regulated or complex portfolios, tying pilots and tooling ecosystems to explicit value levers (R&D acceleration, customer personalization, supply-chain redesign).

AI-Accelerated Learning & Innovation 

• Embeds GenAI practice engines into leadership and L&D programs: role-play simulators, journaling/reflection prompts, adaptive micro-lessons, and real-time feedback loops.
• Integrates AI into innovation sprints and strategy labs to expand options, accelerate synthesis, and shorten MVP shaping cycles.

• Led high-stakes strategy, innovation, and capability engagements across defense, homeland security, federal health, space, telecom, biotech, and corporate sectors. 
• Designed and operated decision-support environments, secure network/telecom architectures, and knowledge-management ecosystems. 
• Built and taught enterprise-grade instructional design systems (4MAT mastery), hybrid programs, and simulation-based learning for executives and technical operators. 
• Conducted deep-tech evaluation and mission-innovation prototyping in multi-stakeholder, regulated environments.

• Creator of Stratalyst.ai AI Capability, Strategy Resilience, Business Model Resilience, and AI Adoption Readiness diagnostics.
• Author of practical, operator-voice frameworks on AI, resilience, learning, and leadership (articles and field tools).

• M.B.A., International Finance, Thunderbird, School of Global Management, Phoenix, AZ
• B.A., Philosophy and History of Science, St. Johns College, Annapolis, MD
• Advanced study and practice spanning: AI & cognitive systems, strategic foresight, innovation science, decision analytics, leadership development, and learning science. 
• Ongoing frontier exploration in GenAI evaluation, safety, and enterprise workflow design. 

• AI/GenAI: prompt engineering, RAG concepts, bias-aware evaluation, content vetting, evidentiary analysis 
• Strategy/Foresight: VUCA stress testing, scenario portfolios, signposts/triggers 
• Innovation: HCD, TRIZ, CPS, Lean Startup, disciplined prototyping 
• Decision Science: AHP/MCDA, Monte Carlo simulation, sensitivity/risk modeling 
• Enterprise Tech: networks, telephony, distributed systems, firewalls/servers, KM platforms 
• Facilitation: executive strategy sessions, war-games, innovation sprints, cross-functional alignment 

Capability transfer • Systems thinking default • Structured creativity • Curiosity with rigor • Calm in complexity • Human-centered change • Ethical pragmatism • Purposeful simplicity