Pete Trujillo
I am an AIGP-Certified Product Leader who uses deep governance expertise to ship Agentic AI faster and safer.
Most companies view Governance as a bottleneck. I view it as an architectural advantage, driving product roadmaps with embedded 'Guardrails as Code'. I help engineering teams deploy high-risk AI features without fear of regulatory backlash or reputational damage.
With 15+ years of experience at Microsoft, Nuance, and J.D. Power, I don't just write policies—I build the Eval Gates and Router Patterns that enforce them.
My Architecture
Governance Architecture
I design the "Critic-Executor" patterns and RAG pipelines that ensure AI agents remain within legal and ethical bounds by default.
Automated Compliance
I move governance out of PDF policy documents and into the CI/CD pipeline, turning regulatory requirements into shipping constraints.
Product Velocity
By solving the "Risk Problem" upfront, I unblock engineering teams to innovate aggressively without fear of breaking things.
My Career Evolution
From foundational consumer protection to leading ethical AI at enterprise scale.
My journey represents a shift from analyzing consumer complaints (DCBA) and optimizing business operations (Chase/J.D. Power) to leveraging that deep consumer understanding to lead the ethical, data-driven development of AI products (Microsoft/Nuance).
Consumer Systems & Analytics
Chase Bank & LA County DCBA (2006-2010)
Grounded in my B.S. in Consumer Affairs, my career began with identifying systemic friction. At Chase's Executive Response Center, I analyzed escalation data to drive procedural optimization. During my DCBA internship, I helped design the digital intake workflows that transitioned manual processes into structured data.
Systems Engineering
Advanced Insights & Research
J.D. Power (2010-2017)
Bridged the gap between "what consumers say" and "what they feel." I pioneered the use of Biometrics & Text Mining to decode user intent for Fortune 100 C-Suite strategies.
Innovation Stack
Enterprise AI Leadership
Microsoft & Nuance (2017-2024)
Role
- • Product Strategy: Led Agile planning for 10+ product lines B2B analytics.
- • Optimization: Provided consultative guidance on BOT improvements for clients.
- • Governance: Embedded AI ethics, transparency, and compliance into core products.
Impact Metrics
Governance-Native Product Leader
M.S. AI Management & Policy (Purdue, 2025)
AI Governance Professional (IAPP, 2025)
A deliberate "Level Up" from generalist Product Management to specialized Governance Architecture. I dedicated this phase to mastering the regulatory frameworks (NIST, ISO, EU AI Act) and technical controls needed to turn "Safe AI" into real solutions.
New Capabilities
The Governance Lab
DoubleLucky.ai (Non-Profit Initiative)
I founded this technical initiative to stop talking about "AI Safety" and start building it. It serves as my active laboratory for operationalizing the NIST AI RMF into shipping code.
Technical Output
My Next Challenge
My evolution to AI Governance is intentional. I am seeking a role where I can operate as a "Architect of Safe Systems"—applying deep governance expertise to solve the engineering constraints of safety, transparency, and trust.
Where I Thrive
- Governance-Native Product: Leading teams that view safety as an engineering spec, not an afterthought.
- Ethical Architecture: Roles focused on building the "Guardrails as Code" (RAG pipelines, Critic Agents).
- Strategic Problem Solving: "Detective-style" root-cause analysis for high-stakes initiatives.
- Public Interest: Bridging the gap between aggressive technology goals and public safety.
What I am not looking for
- Pure Compliance: I am a builder, not an auditor. I don't want to spend my days checking boxes on spreadsheets.
- Pure Sales Culture: I thrive in Solution-Focused environments, not "growth at all costs" sales floors.
- Reporting Heavy: Roles focused on low-value dashboarding or routine reporting rather than strategy.
Strategic AI Projects
Product-Led AI with Built-In Governance
My portfolio proves that Safety is an Engineering Challenge, not just a Policy one. Below are examples of how I act as a "Builder who doesn't break things"—architecting systems that are profitable, functional, and compliant by design.
Quantify Risk
I use an analytical approach to prove why an AI intervention is necessary, translating abstract risks—like employee burnout or market entry barriers—into concrete financial models and ROI forecasts.
See:
Monarque ROI Calculator,
InVision Financial Model
Architect Solution
I apply deep product management experience to build the technical solution, creating the data flow diagrams, agent logic, and system designs for secure, user-centric applications.
See:
FitAssist AI Agent,
AI Scoring System
Enforce Safety
I create the essential governance artifacts (Impact Assessments, Policy Briefs) to ensure solutions are deployed ethically and in alignment with frameworks like NIST AI RMF and ISO 42001.
See:
InWorld GenAI Assessment,
CA Wildfire Policy
Select any project on the left to see the details.
Explainable AI Tutor Platform
I architected a production-ready AI platform that operationalizes NIST AI RMF governance into functional code. Unlike "black box" EdTech tools, this system uses a Multi-Agent RAG architecture and a proprietary transparent Dual-Axis scoring engine to measure a student's subject mastery
Key Skills Demonstrated
- Incorporates AIGP principles for ethical AI deployment, including HITL and privacy controls
- Trusted Advisor: Delivered executive-ready governance artifacts
- Product Architecture: Designed the Multi-Agent orchestration (Python/Flask) and RAG logic.
- AI Governance: Mapped NIST AI RMF & COPPA controls directly to product features.
- XAI Design: Created the "Dual-Axis" scoring rubric (Correctness vs. Explanation Quality).
- XAI Design: Transparent, rubric-based scoring for explainability
- Risk Management: Built "Safety Agent" guardrails for PII and self-harm detection.
Challenge
Standard GenAI tutors hallucinate facts and cannot distinguish between memorization and understanding.
My Solution
A "Glass Box" architecture that restricts answers to approved curriculum and logs every scoring decision for transparency.
Outcome: A defensible, scalable AI reference architecture ready for enterprise deployment.
Pegasus Framework
I built and scaled a 6-phase analytical playbook that standardized AI bot optimization for enterprise clients. Transformed inconsistent analyst output into consistent, high-impact, product-relevant insights.
Key Skills Demonstrated
- AI Strategy: End-to-end process for consulting, analysis, value delivery
- Root Cause Analysis: Beyond symptoms to KPI-impacting issues
- Stakeholder Management: Tactical + executive alignment
- Impact Forecasting: Pre/post-deployment KPI tracking + ROI
Challenge
Insights team delivered high-value AI bot optimization recommendations, but analysts lacked deep analytics/product thinking skills—leading to inconsistent report quality and limited scaling of services.
My Role
Designed codified playbook (Pegasus Framework) + structured training program; upskilled team to deliver consistent, product-relevant insights improving client decision-making and AI service value.
Impact: 10% improvement in report quality, 5% reduction in presentation dev time, more actionable client insights.
Memorable Moments AI
I developed an AI-driven strategy to enhance cruise guest satisfaction through hyper-personalized "memorable moments." Backed by Mintel/Kantar research, identified high-impact AI opportunities.
Key Skills Demonstrated
- Market Research: Consumer intent, pain points, AI opportunity areas
- AI Product Strategy: Interventions for destination, onboard experience
- Thought Leadership: DALL·E 3 visual deck for C-suite
Opportunity
34% plan to cruise; 55% prioritize destination/onboard.
My Role
Led research, AI mapping, executive pitch.
Outcome: Proposal for innovative use of AI to enhance guest experiences.
InVision VR EdTech Plan
I co-authored a 32-page business plan for InVision Learning, a VR-based education platform delivering immersive learning for K-12 and corporate training. Defined product, market opportunity, GTM strategy, rollout phases, revenue streams, and financial projections.
Key Skills Demonstrated
- Business Strategy: Analyzed sectors (K-12, corporate L&D), competitors, barriers, and demand drivers
- Go-to-Market: Built marketing plan, partnerships, billing processes, data protocols, and market differentiators
- Financial Modeling: Projected revenue streams (subscriptions, partnerships) and performance metrics for investor pitch
- Action Planning: Phased rollout (R&D, soft launch, enhancements) with staff/operational details
Challenge
EdTech lacks immersive VR solutions for diverse sectors; need comprehensive plan covering market use cases, barriers (e.g., adoption costs), competitors, and scalable rollout to capture growing demand in K-12/corporate training.
My Role
Co-led plan development: Defined product/ops, executed market analysis, crafted GTM/financials, and outlined phased action plan for investor-ready scalability.
Outcome: Investor-ready blueprint with clear path to revenue; positioned InVision as VR leader in immersive education.
Monarque Solutions (Full-Stack)
I partnered with a consulting firm to design and build a full-stack AI solution to combat employee burnout from caregiving.
1. Quantify Risk: I built an AI-powered ROI Calculator to prove the significant financial risk of manager-employee disconnect.
2. Build Solution: I developed the AI Voice Coach, a secure, full-stack application for managers to practice empathetic conversations.
3. Govern Deployment: I created the complete governance suite (Impact Assessment, PRD, Data Flow) to ensure a defensible, ethical, and private-by-design deployment.
Key Skills Demonstrated
- Full-Stack AI Product Dev: From ROI modeling to a secure, deployed web app.
- AI Governance (NIST RMF): Authored a full AI Impact Assessment (see link below).
- Rapid Prototyping: Coded and deployed both interactive tools as a solo IC.
Challenge
Clients understood the idea of caregiver burnout risk but lacked tools to quantify the financial impact or scalably train managers to fix it.
My Role
Lead Strategist, Designer, and Developer. I engineered the ROI formulas, built the AI calculator, then designed, built, and wrote the governance for the AI Voice Coach solution.
Status: Both applications are live and fully documented with a "trust-by-design" governance framework.
AI Energy Consumption Policy Brief
I authored a policy brief analyzing AI's environmental footprint, proposing NIST RMF-adapted governance frameworks to mitigate energy risks and promote sustainable scaling. Highlighted data center growth (from 1.9% to 4%+ of U.S. electricity) and global projections (up to 21% by 2030), advocating for regulatory resilience.
Key Skills Demonstrated
- AI Policy Research: Quantified energy/carbon impacts from data centers and LLM training
- Governance Innovation: Adapted NIST RMF for sustainability mandates and efficiency benchmarks
- Thought Leadership: Influenced AI labs/regulators on defensible energy strategies
Challenge
AI's rapid growth drives data center energy use (176 TWh in U.S. by 2023, projected 7-12% of electricity by 2028), risking regulatory backlash and sustainability gaps without proactive frameworks.
My Role
Reseached trends/projections; authored brief with NIST-based mitigations for state-level adoption and corporate compliance.
Outcome: Framework proposed to guide sustainable AI deployment.
AI Wildfire Risk Policy Brief
I authored a policy brief on AI's role in wildfire prediction gaps, designing NIST RMF adaptations to enable early risk flagging and defensible mitigation strategies. Addressed escalating megafires (1.7M+ acres burned in 2023) and tech equity issues in Global South landscapes.
Key Skills Demonstrated
- Risk Mitigation: Analyzed prediction models, vegetation/climate data for proactive alerts
- Policy Design: NIST RMF frameworks for state-level AI integration in fire response
- Thought Leadership: Advocated for equitable AI access in diverse landscapes
Challenge
Wildfires are increasingly devastating (e.g., 111% above 10-year average in 2023), with AI prediction limited by local data gaps, equity issues, and lack of scalable mitigation frameworks.
My Role
Researched global trends/models; authored brief with NIST adaptations for early detection and resource targeting.
Outcome: New framework proposed enhancing AI-driven prevention and response.
InWorld GenAI Impact Assessment
Proposed NIST AI RMF impact assessment for InWorld’s Output Model (voice + dialogue GenAI for gaming NPCs). Mapped global regulations, ethical risks, and stakeholder impacts into a prioritized governance strategy.
Key Skills Demonstrated
- AI Governance: NIST AI RMF + GenAI Profile application
- Global Risk Mapping: EU AI Act, CCPA, China GenAI, Hiroshima Process
- Ethical Risk Prioritization: Bias, deepfakes, job loss, deceptive UX
- Stakeholder Synthesis: Legal, product, dev, client, performer views
Challenge
GenAI voice/dialogue NPCs risk bias, IP theft, deception, and regulatory non-compliance.
My Role
Authored 6-page proposal; recommended AI RMF; mapped 15+ risks to laws & ethics.
Outcome: Actionable governance roadmap for ethical, compliant GenAI at scale.
FitAssist: AI Agent for Personal Trainers
Designed LLM-powered assistant for trainers with 100+ clients — automated check-ins, scheduling, meal plans, and FAQs — with confidence scoring, human escalation, and HIPAA compliance.
Key Capabilities
- LLM fine-tuning to mimic trainer voice (OpenAI)
- Confidence scoring + auto-escalation to human
- Edamam API + client DB for safe, allergy-aware meals
- Risk framework: bias, liability, job impact, social determinants
Outcome: Ethical, scalable AI that frees trainers to coach — not message.
Pro Bono: AI Ethics for Non-Profits
I provide pro bono AI ethics and governance advisory to non-profit AI labs and mission-driven founders. I help them build defensible, transparent AI systems before scaling — without budget constraints.
Key Skills Demonstrated
- AI Ethics Leadership: Lightweight governance for early-stage AI
- Risk Prioritization: Focus on bias, privacy, transparency
- Trusted Advisor: Board-level guidance for non-profits
Expertise & Education
My Expertise
Strategic & Technical Balance: I translate technical architecture into defensible business value, ensuring AI solutions are scalable, compliant, and aligned with C-suite objectives.
Education
Master of Science
AI Management & Policy
Purdue University (Dec 2025)
- Applied Data Analytics
- Foundations in AI
Key Coursework:
- AI Policy, Governance, & Ethics
- Societal Impacts of AI
Bachelor of Science
Consumer Affairs
California State University-Northridge (2010)
- Minor in Marketing
Certifications
- Certified AI Governance Professional (AIGP) | IAPP | Dec 2025
- ISO42001 - Lead Implementer (PECB)(In Progress - 2025)
- Product School - Advanced AI Agents
- Product School - AI for Product (AIPC)
- Certified SAFe 6 POPM
Core Skills
| AI Architecture & Engineering | Governance Engineering | Product Strategy |
|---|---|---|
AI Architecture & Engineering |
Governance Engineering |
Product Strategy |
Work Experience
Senior Product Manager, AI & Analytics Solutions
Microsoft (Remote)
Pioneered AI Product Strategy and Ethical Governance for B2B analytics solutions, supporting over $100M+ in annual revenue by translating emerging technology trends (AI, data feeds, Copilot) into a quantifiable product roadmap. Embedded transparency requirements (model cards, data sheets, system cards) into product roadmap
Senior Product Owner, Insights & Analytics
Nuance Communications (Agoura Hills, CA)
Drove AI product strategy for conversational platforms, aligning technology initiatives (AI bots, fraud detection, Human in the Loop) with business objectives to deliver measurable client performance and operational efficiency gains. Led the beta and GTM strategy for a human-in-the-loop (HITL) AI solution, reducing escalations by 9%.
Senior Manager, Consumer Research
J.D. Power (Westlake Village, CA)
Shaped C-suite decision-making at Fortune 100 clients by developing thought leadership and strategic recommendations based on complex market research and emerging technology trends. Pioneered biometric research using facial recognition and eye tracking to deepen consumer insights.
Business Operations Analyst
Chase (Chatsworth, CA)
Designed BI reporting and automation solutions to improve efficiency and compliance. Leveraged complaint data analysis to identify and address a critical regulatory issue, measurably reducing complaint volumes and legal exposure.
Let's Connect
I'm always interested in discussing AI policy, product strategy, or new project ideas. Feel free to reach out via email or connect with me on LinkedIn.
Pete Trujillo
AI Product Leader & Governance Expert