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    Los Angeles · Managing Director

    I build software worth using.

    Jay Burgess is Managing Director of Revuity Systems.

    Jay Burgess, illustrated portrait
    Jay Burgess · Managing Director

    Verified client results across a fifteen-year career.

    From Fortune 500 transformation to production agentic AI for regulated organizations, every engagement converges on measurable commercial results.

    Career impact
    $50M+
    Years of experience
    15+
    Graduate education
    MBA, MS
    Areas of craft

    Three domains, one through-line.

    01

    Pricing & Revenue Intelligence

    Built production-grade pricing systems for Fortune 500 retail and SaaS clients including Walmart and Adobe. Deployed ML-powered markdown optimization, competitive pricing engines, and revenue forecasting models directly into commercial decision pipelines. $50M+ in documented revenue impact across a career spent where data science meets commercial strategy. Revenue Modeling, ML Pricing, Retail Analytics, Forecasting.

    02

    AI Governance & Agentic Systems

    Architect of a production AI compliance decision engine deployed at scale for a regulated organization, generating new client revenue by embedding compliance into the workflow instead of after it. Now designing and deploying agentic AI systems for organizations ready to move from experimentation to production. Frameworks: OODA/PSB, CoALA architecture, multi-agent orchestration patterns. Agentic AI, LLM Orchestration, AI Governance, Claude Code.

    03

    Solutions Architecture

    Principal Solutions Architect with deep experience designing enterprise data platforms, operations systems, and workflows that use AI. Designed the full technical stack for production systems serving Fortune 500 clients and regulated industries. Certified across Microsoft Fabric, Databricks, and Google BI. Microsoft Fabric, Databricks, Google BI, Supabase.

    Track record

    Where the work was done.

    Confidential Client

    Principal Forward Deployed Engineer

    Designed and built a production agentic AI platform from the ground up, governing complex regulatory decisions for a regulated organization. One of the first production deployments of agentic AI architecture at this scale.

    • New client revenue generated via automated compliance governance and audit-ready reporting
    • Built a multi-agent orchestration layer handling complex regulatory decision trees with full audit trails
    • Designed a System Inventory and User Management Registry for the VP of Compliance & QA
    • Evaluated and negotiated enterprise AI vendor contracts, keeping the client in the stronger position on the MSA throughout
    • Developed BurgessEval, a proprietary evaluation framework for measuring LLM compliance accuracy

    Revuity Systems

    Managing Director

    Founded and operate an operations systems company serving clients across growth, finance, and mission-critical operations. AI Operating Environments is the primary public offer, with CollabX for custom product builds.

    • Deployed production AI systems for multiple clients including Dr. York's SRLP equity leadership platform
    • Built a full Founder Operating System and Company Operations Manual (McKinsey-style, SCR framing)
    • Developed and maintains a growing catalog of vertical SaaS products including VoltIQ, WealthOS
    • Formalized build stack: Claude Code as primary development infrastructure with Supabase + Netlify

    P3 Cost Analysts

    Strategic Advisor

    Managed a 75-client advisory portfolio spanning cost reduction, vendor negotiation, and operational data analysis across multiple industries. Built proprietary analytical frameworks used across client engagements.

    • Managed and grew a 75-client consulting portfolio simultaneously
    • Delivered measurable cost reduction outcomes across healthcare, hospitality, and retail verticals
    • Built repeatable analytical playbooks for procurement optimization and vendor benchmarking

    Adobe

    Enterprise Engagement

    Data Science & Revenue Analytics

    • 86% reduction in reporting turnaround time via automated analytics pipeline redesign
    • Built revenue attribution models for SaaS subscription products
    • Delivered executive-facing dashboards and decision-support tooling

    Walmart

    Enterprise Engagement

    Data Science & Pricing Strategy

    • 37% improvement in project completion rate via process redesign and analytical tooling
    • Built ML-assisted pricing and markdown optimization models for retail inventory management
    • Contributed to $50M+ portfolio of documented commercial impact

    Araya Rose

    Advisory Engagement

    Data Architect · Management Consultant

    Designed enterprise data systems and advised senior data teams, with every engagement measured against a single standard: less spend and less time.

    • Architected data systems end to end, from ingestion and modeling through reporting and decision support
    • Advised senior data and analytics teams on architecture, tooling, and delivery practices
    • Focused engagements on cutting cost and cycle time by streamlining operations and removing redundant infrastructure
    The standard

    The architect who scopes the work is the architect who ships it.

    Active builds

    What's in production.

    Production · Confidential Client

    Compliance Decision Support System

    AI Governance · Regulated Industries

    A production agentic compliance decision engine governing complex regulatory workflows for a regulated organization. Combines multi-agent orchestration, LLM-powered document analysis, and full audit trail generation into a single governed platform. Built using the CoALA architecture pattern with custom evaluation frameworks (BurgessEval) for compliance accuracy measurement.

    Active Development

    VoltIQ

    Vertical Data Intelligence

    A business intelligence platform for operators in specific industries, using AI to answer questions about their own operational data without a full data engineering stack.

    Active Development

    WealthOS

    Financial Intelligence · Private

    A personal and family wealth operating system. Portfolio tracking, wealth-building scenarios, and decision support for high-income earners building long-term asset structures.

    Active · Client

    SRLP Platform. Dr. York

    Equity Leadership Development

    AI-augmented leadership archetype inventory and development platform for equity-centered practitioners. Full-stack build with assessment engine and personalized reporting.

    The company

    Revuity Systems

    LA-based · Systems company · Est. 2022

    Revuity Systems is built on a deliberate idea: stability over reach, an operations systems company with one founder at its center, Claude Code as its build infrastructure, a practice that grows through referrals, and a growing catalog of self-serve software for specific industries.

    Every product and client engagement runs through the same principle: build systems that outlast the people who build them. That means documented architecture, governed AI behavior, and business logic that doesn't live in someone's head.

    Credentials

    Education and certifications.

    Graduate Education

    MBA. Organizational Management

    Eastern University

    Graduate Education

    M.S. Data Science

    Eastern University

    Graduate Education

    M.Ed. Education

    Loyola Marymount University

    Graduate Education

    AI Engineering

    Harvard University

    Certification

    Microsoft Fabric Analytics Engineer

    Microsoft

    Certification

    Databricks Data & AI

    Databricks

    Certification

    Certified Agentic Engineer

    Revuity Systems

    Operating principle

    Build systems that outlast the people who build them.

    Stability over reach: fewer clients, longer engagements, and deeper outcomes, with architecture that's written down and AI that behaves the way it's supposed to.

    A system's value lies in whether you can rely on it, whatever its age. I've watched organizations fall in love with the technology and forget to build the guardrails that keep it honest. That gap is where most AI projects fail.

    So my practice is built around stability over reach. I'd rather have fewer clients and longer engagements with deeper outcomes, architecture that's written down instead of carried in someone's head, and AI with clear rules instead of hopeful guesses.

    The goal is always the same: when I'm done, the system runs, and after I leave, it keeps running.

    Jay Burgess, Managing Director. Los Angeles native. 15+ years across Walmart, Adobe, and enterprise systems. Builds companies and the systems that run them.

    Start here

    Set up your own operating environment.

    Starter is $299, bought online, with no sales call.