Irving / Dallas, Texas · Open to AI leadership roles

I turn operational complexity into AI systems people can trust.

Lead Strategic Sales Planning Manager and AI transformation leader. Six Copilot Studio agents deployed at AT&T—$550.8K in annual cost avoidance—alongside a personally shipped portfolio of agentic workflows, decision systems, and AI-enabled products.

Review the proof LinkedIn

AI Transformation Program ManagerAI Operations LeaderTechnical Program ManagerAI Product Operations

6enterprise AI agents deployed

$550.8Kannual cost avoidance

12AI systems and agents shipped

10+years in enterprise operations

Verified work history

Selected results from the current resume

$550.8K

annual cost avoidance from deployed AI agents

AT&T · Sales Planning

15%

task-fallout reduction

AT&T · Client Services

$65K

revenue in three months

PJ&T

60%

faster reporting cycle

Mercer Valve

$200K

monthly sales impact

APMEX

Positioning

The bridge between strategy decks and working systems.

The differentiator is not tool familiarity. It is the ability to frame the decision, align the people, build the control layer, ship the workflow, and measure what changed.

Enterprise AI Agent Delivery

Designs, governs, and deploys Copilot Studio agents on a RAG-backed SharePoint knowledge layer—with adoption, change management, and benefit tracking built in.

6 deployed agents · $550.8K annual cost avoidance · 100+ governed SOP assets

Agentic Workflow & Automation

Designs human-in-the-loop systems that combine model reasoning, durable state, approvals, observability, and reliable delivery.

NexLev Engine + Career Compound Engine

Product, Data & Business Operations

Connects user needs, financial signal, operating metrics, and technical delivery to measurable business outcomes.

PRINCE OS + Ty’s Table + 10+ years of operating results

Enterprise AI portfolio

Six AI agents delivered inside AT&T Sales Planning.

Designed and deployed with Microsoft Copilot Studio, SharePoint, and Responsible AI governance principles across the GES organization. Each agent solves a named operating problem and carries tracked business value. These are internal enterprise systems, so the work is documented here rather than publicly linked.

6AI agents designed and deployed

$550.8Kannual cost avoidance

100+SOP assets governed

2–3xfaster issue resolution

01AT&TDeployed

Knowledge retrieval agent

Sales Planning SOP / HOW-TO Agent

Business challenge: Critical Sales Planning knowledge was dispersed across emails, tribal knowledge, and individual SMEs, making answers slow, inconsistent, and dependent on who happened to be available.
Solution: Built a Copilot Studio agent that surfaces approved SOPs, HOW-TOs, training materials, and process guidance directly from a governed SharePoint repository.

Impact

$550,800 annual cost avoidance
Standardized access to 100+ operational procedures
30–50% faster information retrieval
2–3x faster issue resolution
Reduced onboarding and ramp-up time
Established SharePoint as the governed source of truth

02AT&TDeployed

Documentation generation agent

SOP Creation AI Agent

Business challenge: Creating SOPs was manual, inconsistent, and time-consuming, so institutional knowledge stayed locked inside individual SMEs instead of reusable documentation.
Solution: Designed an AI-assisted documentation framework that converts SME knowledge, recordings, and notes into draft SOPs ready for rapid review and publishing.

Impact

Accelerates SOP development cycle time
Preserves institutional knowledge as SMEs move roles
Improves documentation quality and consistency
Creates scalable knowledge-management processes

03AT&TDeployed

Workforce enablement agent

Career Advancement AI Agent

Business challenge: Employees struggled to navigate AI skills development and future career pathways without a clear, demand-informed view of what to learn or build next.
Solution: Built an AI career coach that identifies emerging skills, certifications, learning plans, portfolio projects, and demand-based career opportunities.

Impact

Accelerates workforce AI readiness
Creates measurable individual development plans
Produces verifiable portfolio artifacts
Aligns employee growth with future business needs

04AT&TDeployed

Executive analytics agent

GES VP Quadrant Agent

Business challenge: Leadership required consistent VP-level organizational analysis and performance visualization, which depended on repeated manual Excel work with variable methodology.
Solution: Developed an AI-powered analytical agent that automates VP quadrant analysis, data normalization, categorization, and executive-ready reporting.

Impact

Reduces manual Excel analysis effort
Increases reporting consistency across reviews
Accelerates leadership decision-making
Enables scalable organizational reviews

05AT&TDeployed

Policy self-service agent

Incentive Inquiry Agent

Business challenge: Employees and leaders spent significant time researching sales compensation and incentive questions, routing repetitive requests through a small set of support owners.
Solution: Created an AI agent that provides guided responses to incentive, compensation, quota, and policy inquiries using approved documentation and governance controls.

Impact

Reduces repetitive support requests
Improves employee self-service
Accelerates issue resolution
Increases policy compliance and response consistency

06AT&TReusable framework

Platform architecture

AI-Powered Knowledge Management Architecture

Business challenge: Traditional document repositories create search friction and limit knowledge reuse, so documentation is written once and rarely found again.
Solution: Architected a SharePoint + Copilot Studio + RAG platform enabling secure natural language search, summarization, governance enforcement, and automation.

Impact

Enterprise-scale knowledge management model
Governance-first AI architecture
Increased adoption of business documentation
Reusable framework for future AI solutions

Executive summary

Designed and deployed six AI-powered business solutions using Microsoft Copilot Studio, SharePoint, and Responsible AI governance principles—delivering $550,800 in annual cost avoidance, accelerated onboarding, standardized knowledge management, automated executive reporting, improved employee self-service, and an enterprise-ready AI architecture that turns operational knowledge into scalable business intelligence.

Core competencies demonstrated

Microsoft Copilot StudioAI Agent DevelopmentGenerative AI & RAG ArchitecturePrompt EngineeringKnowledge ManagementSharePoint GovernanceBusiness Process AutomationExecutive Reporting & AnalyticsChange ManagementResponsible AI & Compliance

Independent builds

Proof you can inspect—not a list of tools.

Each case shows the problem, system boundary, implementation choices, and evidence available today. Public links are included where the work is shareable.

01Production verified

Production agentic AI system

NexLev Engine

Turns a website intake into a complete career package through a seven-stage AI pipeline, then pauses for human approval before authenticated delivery.

Problem: High-quality career deliverables required hours of fragmented manual work and inconsistent handoffs.
What I built: A durable SQLite queue, bounded workers, Claude/OpenAI model layer, retries, crash recovery, health and log surfaces, multi-tenant controls, and an operator approval gate.

Evidence

Real form submission → full pipeline → approval → client inbox verified end to end
Seven coordinated stages from intake through packaging
Self-healing runtime with observable, honest delivery state

02Active workflow

Career intelligence automation

Career Compound Engine

A seven-workflow career operating system that turns market signal into content, role readiness, tailored application assets, outreach, and weekly briefs.

Problem: AI hiring signals, content opportunities, and application work were scattered across disconnected tools.
What I built: n8n orchestration across Claude, Notion, Airtable, and Gmail, with a deliberate human approval step before public LinkedIn posting.

Evidence

Weekday content workflow running on a scheduled loop
Approval trail retained across Notion, Gmail, and Airtable
Architecture, prompts, dashboard, and decisions documented publicly

03Live product

Founder decision system

PRINCE OS

A private founder command center that connects goals, financial signal, execution, and weekly review in one production operating surface.

Problem: Personal economic decisions and execution signals lived across spreadsheets, notes, and disconnected planning rituals.
What I built: A production Next.js app with versioned Supabase migrations, Row Level Security tests, 3D visualization, and disciplined verification.

Evidence

Live production application at princeos.net
Versioned schema, RLS tests, and incident history
Static prototype preserved with the production app

04Deployed MVP

Consumer product build

Ty’s Table

A cook-to-save dining product that converts a behavioral goal into a visible fund, personalized recommendations, discovery, and weekly progress.

Problem: The tradeoff between cooking at home and memorable dining out was hard to make tangible or motivating.
What I built: A multi-user Next.js product with onboarding, preferences, banking logic, restaurant and recipe services, authentication, subscriptions, and email summaries.

Evidence

Deployed end-to-end product with responsive onboarding
Supabase-backed state and Stripe surfaces
Documented API routes, privacy flow, and mobile packaging path

05Installed & in use

Codex agent plugin

System Performance Doctor

A safety-first Windows agent that establishes a read-only baseline, ranks bottlenecks, recommends scoped remediation, and verifies the result.

Problem: Performance troubleshooting often becomes blind tweaks without a measured root cause.
What I built: A root-cause-first skill spanning CPU, memory, storage, GPU, thermals, power, startup load, drivers, and hardware errors.

Evidence

Read-only collection precedes remediation
Separates hardware, workload, driver, and configuration boundaries
Verification gates prevent stacked speculative fixes

06Installed & in use

Codex plugin + MCP server

Social Proof Product Analyst

Turns fragmented social opinions into evidence-weighted product decisions using source-quality controls and decision-science methods.

Problem: Product recommendations often mistake popularity, sentiment, and repeated claims for reliable evidence.
What I built: A skill and MCP layer spanning Reddit, YouTube, and Bluesky, with WSM, TOPSIS, AHP, unit-rate, and cost-benefit comparisons.

Evidence

Separates observed claims, sentiment, and inference
Supports fit-for-purpose and multi-criteria comparisons
Produces traceable decision matrices

Professional track record

A business operator before—and alongside—the AI portfolio.

This work history is the foundation: commercial accountability, data fluency, cross-functional leadership, and process change under real operating constraints.

2018 — Present

AT&T

Lead Strategic Sales Planning Manager — AI Transformation Dallas, Texas

Leads Sales Planning strategy and the AI transformation agenda for the GES organization—designing and deploying six Copilot Studio agents on a governed SharePoint knowledge layer, plus prior cross-functional work across client services, federal order management, billing systems, and executive command-center delivery.

Documented result$550,800 annual cost avoidance from deployed AI agents; 100+ operational procedures governed; 15% task-fallout reduction through process management and defect mitigation.

AI-role transfer

Enterprise AI agent delivery, Responsible AI governance, stakeholder alignment, operating cadence, adoption, and scaled change.

2016 — 2018

PJ&T Inc.

Business Consultant Oklahoma City, Oklahoma

Built and operated e-commerce channels while facilitating agile delivery and conversion-improvement work.

Documented result$65K revenue in three months, 15% conversion improvement, and 20% lift in on-time delivery.

AI-role transfer

Experiment design, product operations, funnel analysis, and hands-on execution.

2015 — 2016

Mercer Valve

Senior Business Analyst / Project Accountant Oklahoma City, Oklahoma

Designed financial models and KPIs, translated operational data for leaders, and improved reporting workflows.

Documented resultReduced reporting cycle time by 60% through Agile-led process improvement.

AI-role transfer

Benefits realization, KPI design, financial modeling, and executive decision support.

2014

APMEX

Senior Business Analyst Oklahoma City, Oklahoma

Developed pricing tools and improved cross-functional financial reporting and planning.

Documented resultPricing tools contributed $200K in monthly sales impact.

AI-role transfer

Data products, pricing logic, commercial analytics, and strategic planning.

2012 — 2014

Group 1 Automotive

Manager Development Program Oklahoma City, Oklahoma

Managed a five-person sales team and supported operations across core business functions.

Documented resultDrove a 30% increase in weekly sales.

AI-role transfer

Frontline leadership, customer operations, coaching, and commercial accountability.

Operating method

AI transformation needs a control system, not a demo day.

My delivery model connects strategy, governance, implementation, and adoption: explicit decisions, bounded automation, observable state, and measurable value.

Human accountability at consequential decisions Observable state and honest failure reporting Clear ownership across people, model, and system Small reversible changes with verification gates

Frame the decision

Define the problem, users, constraints, value hypothesis, and the decision the system must improve.

Design the control layer

Set data boundaries, risk tiers, human approvals, fallback behavior, ownership, and success measures.

Ship the smallest proof

Build a working vertical slice with real inputs, observable state, and a controlled path to the outcome.

Verify adoption and value

Measure usage quality, cycle time, reliability, behavior change, and realized benefit—then iterate.

Evidence matrix

The same capabilities show up at work and in the build portfolio.

The technical portfolio is not disconnected experimentation. It extends a long-standing operating pattern into modern AI systems.

AI agent delivery

Six Copilot Studio agents deployed across Sales Planning

NexLev seven-stage pipeline and two Codex agent plugins

RAG & knowledge systems

SharePoint + Copilot Studio + RAG architecture over 100+ SOPs

Retrieval, prompt, and context design across Claude/OpenAI builds

Program leadership

AT&T command-center and cross-functional initiatives

NexLev orchestration and production verification

Workflow automation

Process improvement across order, reporting, and delivery flows

Career Compound’s seven n8n workflows

Governance & risk

Responsible AI controls, access governance, defect mitigation

Human approval, retries, scoped permissions, honest state

Data & decisions

VP quadrant automation, pricing, financial models, and KPIs

PRINCE OS dashboards and decision signals

Product execution

E-commerce growth, experimentation, and customer operations

Ty’s Table and two production-oriented agent plugins

Education & credentials

Business depth, delivery discipline, and continuous AI learning.

Formal business education and enterprise delivery experience are paired with current, applied learning in Copilot, agent systems, workflow automation, and AI/ML problem framing.

MBA — Texas A&M University

BBA, Marketing Management & Global Purchasing — University of Central Oklahoma

AS, Business Administration — Oklahoma City Community College

SAFe 6 Scrum Master — credential earned; listed validity through June 2025

Microsoft 365 Copilot for Work

Extending Microsoft 365 Copilot with AI agents

Microsoft Copilot Studio — agent design and deployment

Responsible AI governance and compliance practice

AI/ML business problem solving

n8n automation for analytics and reporting

Start a conversation

Looking for an operator who can align the room—and build the proof?

I’m focused on AI transformation, technical program leadership, AI operations, and product-operations roles where outcomes, governance, and hands-on execution matter.

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