Research, intelligence, pricing, briefing, property, learning, and deal-support workflows.
Strategy, competitive intelligence, and applied AI leader
AI-enabled systems for better learning, strategy, and decisions.
I build practical AI workflows, research systems, and decision-support tools that help leaders understand complex information, evaluate options, and act with greater clarity.
Senior Corporate Strategist · Competitive Intelligence · Decision Intelligence · Duke AI Product Management · Applied AI Builder
Core focus: strategy, competitive intelligence, AI product/adoption, decision-support systems, and mission-driven AI-enabled learning.
Decision records and implementation notes that preserve why choices were made.
Automated checks used to keep the portfolio system reviewable.
Reports, QA outputs, PDFs, decks, and structured payloads for executive review.
Flagship build
Flagship Build: AI Strategy Operating System
A public-safe AI portfolio system demonstrating how executive research, competitive intelligence, pricing analysis, board briefing, document review, and governance can work together inside one decision-support environment.
Board Briefing Generator
Turns public-source evidence into board-ready risks, opportunities, actions, and follow-up questions.
Citation QA · PDF export · PowerPoint deckExecutive Research Assistant
Helps leaders move from complex reference material to clear answers, evidence, and next-step questions.
Executive answers · Evidence review · Citation tableWorkflow Coordination Layer
Connects specialized decision-support workflows into one executive operating surface.
Briefing · Review flow · Shared contextCompetitive Intelligence Platform
Condenses public filings and investor materials into executive intelligence briefs.
SEC sources · Scoring · DashboardGlobal Pricing Intelligence
Demonstrates pricing analytics and decision support using public-safe CPG examples.
Unit pricing · Pack normalization · Executive reportForecasting Engine
Planned analytical layer for forecasts, confidence intervals, and scenario narratives.
Roadmap · Scenario planning · Confidence intervalsDecision Intelligence
Helping organizations preserve reasoning and improve judgment
Decision Intelligence is my working framework for helping organizations preserve reasoning, learn from decisions, and improve judgment over time. The AI Strategy Operating System is one practical expression of that broader idea.
The project explores how organizations make decisions, how reasoning gets preserved or lost, how rationalization can be mistaken for learning, and how institutional memory can either improve or distort future judgment.
Preserved reasoningOrganizational memoryOrganizational learningDecision recordsRationalization detectionAI-assisted decision review
Applied AI projects
Applied AI and Decision Systems
I build practical tools and frameworks that turn fragmented information into clearer decisions. My work spans corporate strategy, competitive intelligence, AI-enabled learning, real estate research, product analysis, and early-stage product development.
Board Briefing Generator
Public-source CPG risk matrix output for executive decision support, with risks, opportunities, confidence, and horizon views.
Competitive Intelligence Platform
Public-company CPG scorecard that turns market signals into ranked risk, opportunity, and executive review views.
Landery Property Intelligence
Public sample analysis showing parcel-level opportunity screening, scenario comparison, due-diligence flags, and client-ready decision support.
CI-DO
Private relationship-intelligence and deal-operations concept focused on permissioned review, controlled prospect experiences, and approved follow-up.
AI-Enabled Learning Materials
Parent-facing learning sample with lesson structure, teaching script, mastery checks, and assessment scaffolding.
Global Pricing Intelligence
Public-safe price-pack analysis output using unit-price normalization, category comparisons, and executive summary structure.
Decision Intelligence
A working framework for helping organizations preserve reasoning, learn from decisions, and improve judgment over time.
Capability: decision memory, assumption clarity, evidence review, and post-decision learning.AI Strategy Operating System
A public-safe decision-support platform demonstrating executive research, competitive intelligence, pricing, board briefing, research synthesis, and governance workflows.
Capability: executive briefing, market intelligence, pricing analysis, research synthesis, and governed decision support.AI-Enabled Learning Materials
Custom AI-assisted learning materials designed for personalized instruction, mastery checks, parent-led explanation, discussion, and assessment.
Capability: lesson planning, parent guides, practice work, answer keys, mastery checks, and assessment support.Landery / Property Intelligence
A property-intelligence and due-diligence prototype designed to help buyers, real estate professionals, and property researchers understand a parcel more quickly.
Capability: parcel overview, scenario comparison, constraint flags, client-ready reporting, and next-step planning.CI-DO
A private relationship-intelligence and deal-operations platform for sensitive business-development motion, permissioned review, controlled prospect experiences, and evidence-backed follow-up.
Capability: permissioned workspace, controlled prospect pages, role-based review, approval gates, delivery evidence, and audit trail.FoxCast / Research Workflows
AI-assisted forecasting and intelligence workflows for market analysis, public scorekeeping, and executive-style briefs.
Capability: forecast questions, probability tracking, public scorekeeping, weekly briefs, and topic lanes.AI-Assisted Patent Workflow
A public-safe innovation workflow supporting research organization, prior-art review, filing-package planning, and structured drafting support for an early-stage product concept.
Capability: research organization, prior-art review, filing-package planning, evidence tables, and drafting support.G128
A public-safe innovation and product-development case study showing strategy, commercialization thinking, and applied AI support without exposing confidential technical details.
Capability: invention narrative, differentiation, filing organization, roadmap planning, and evidence strategy.Build examples
Capability examples from the current work
These examples describe what the systems can do without exposing internal methods, tools, vendors, private data, or implementation details.
Built a working portfolio framework for preserving reasoning, assumptions, decisions, and later review loops.
Decision memory · Assumption clarity · Executive reviewBuilt a property-intelligence and due-diligence prototype that helps buyers and real estate professionals understand parcel constraints, development scenarios, risk flags, and next-step questions.
Parcel overview · Scenario comparison · Constraint flags · Client-ready reportsBuilt a private relationship-intelligence and deal-operations platform for permissioned outreach, controlled prospect experiences, role-based review, human-approved actions, and evidence-backed follow-up.
Permissioned workspace · Approval gates · Delivery evidence · Audit trailBuilt public forecasting and research workflows around plain-English questions, numeric probabilities, deadlines, scorecards, and weekly briefs.
Forecast lanes · Public scoring · Agriculture, global risk, critical minerals, and foresight topicsBuilt parent-led curriculum samples with lesson scripts, student work, answer keys, mastery checks, and standards-aware planning.
Grade 3 math, science, and history · Parent preview · Assessment scaffoldsBuilt a structured invention-support workflow with prior-art review, claim-support mapping, filing checklists, drawing consistency, and evidence organization.
Patent workflow support · Research memos · Filing packet organizationBuilt public-safe board briefing, competitive intelligence, pricing intelligence, research synthesis, and coordinated review modules for decision support.
Board risk matrix · CPG scorecard · Pricing brief · Coordinated reviewTrust & Governance
Evidence, assumptions, and decisions that can be audited
AI decision-support systems need more than useful outputs. They need reviewable evidence, documented assumptions, public-safe boundaries, and decision records that make the work auditable.
Evidence Review
Makes supporting evidence, assumptions, confidence, and decision context visible enough for executive review.
Trust Layer
Frames explainability and auditability as business value, not only technical hygiene.
Executive Evidence
Shows why leaders need reviewable support before acting on AI-generated recommendations.
Living Decision Records
Preserves important choices, assumptions, superseded decisions, and cross-references over time.
Professional credibility
Career proof, credentials, and public references
Current role: Senior Corporate Strategist - corporate strategy, competitive intelligence, forecasting, executive analysis, and AI-enabled business work.
Duke AI Product Management Specialization
Duke University · In progressAI product strategy, applied product judgment, and product-management foundations for AI-enabled systems.
Microsoft 365 Generative AI Fundamentals
Microsoft · CompletedGenerative AI fundamentals for modern workplace productivity, collaboration, and responsible use.
Google AI Professional Certificate
Google · July 2026Applied AI workflows across research, writing, data analysis, content creation, app building, brainstorming, and planning.
Supervised Machine Learning: Regression and Classification
DeepLearning.AI / Stanford University · October 2025Foundational supervised learning methods for regression and classification workflows.
Reading Financial Statements / Accounting Fundamentals
Corporate Finance Institute · 2025Finance and accounting foundations for interpreting performance and operating context.
Publications / Speaking
Industry research and executive communication record
Contributing author
Publication contributor
Contributing author
Contributing author
- Speaker: DSA START Summit, Orlando, January 2024.
- Speaker: DSA industry event, Boise, 2025.
- Speaker: DSA event/webinar, April 2026.
Publications are listed as public professional evidence. Portfolio case studies remain separate from employer-specific, confidential, or non-public operating details.
Contact
Portfolio review, collaboration, and AI strategy conversations
Portfolio review, collaboration, speaking, and AI strategy conversations. Connect with me on LinkedIn to discuss Decision Intelligence, competitive intelligence, AI strategy, and applied AI systems.
Resume available on request.
JakobPJackson.com