AI Transformation PM
Turns AI opportunities into governed roadmaps, rollout plans, adoption metrics, and executive-ready decisions.
AI Transformation Operator-Builder
The operating layer where enterprise AI becomes measurable work.
Strategic sales planning leader at AT&T with an MBA, 10+ years across enterprise operations, forecasting, transformation, and a growing portfolio of AI systems that connect governance, adoption, automation, and executive decision support.
Prince Tsagli Jr.
Operator-builder · AT&T Business · MBA
10+
years enterprise ops, planning, and execution
9
AI systems and proof-of-work assets shipped
8
proof lanes across transformation, automation, product, and strategy
Market-facing narrative
Not an AI tourist. An operator who turns ambiguity into an operating system.
The strongest AI roles are screening for governance, adoption, ROI, and cross-functional execution. This portfolio is built around that exact signal.
Workflow Intelligence
Builds automations across n8n, Claude, Notion, Airtable, Gmail, Supabase, Vercel, and modern AI tooling.
Governance + ROI
Frames AI work through use-case intake, risk tiers, benefits realization, adoption scorecards, and operating cadence.
Flagship proof lanes
01Transformation proof
Enterprise Copilot Enablement
Adoption, stakeholder alignment, operational readiness
AI-assisted sales planning and operating-rhythm modernization for enterprise teams using Microsoft Copilot, workflow redesign, and executive reporting discipline.
Hours of weekly planning prep returned to every participating sales lead
02Executive decision system
AI-Assisted Forecasting MVP
Forecasting, scenario planning, finance narrative
A practical MVP path for improving planning responsiveness, decision quality, and leadership visibility across sales and operating teams.
Forecast refresh cycle compressed from weeks to days
03Live automation system
Career Compound Engine
Claude, n8n, Notion, Airtable, Gmail, operating briefs
A market-intelligence automation engine that turns AI trend signals into concise briefs, content ideas, portfolio actions, and operating priorities.
52 automated market briefs per year — zero manual research hours
04AI-native product build
TYS Table
Next.js, TypeScript, Supabase, Vercel, Claude
A consumer AI product concept built with an AI-assisted software workflow, showing product sense, rapid prototyping, and shipping muscle.
Idea to deployed multi-user SaaS — auth, payments, AI — in weeks, solo
05Agentic AI system
NexLev Engine
Python, Claude, Flask, SQLite, multi-tenant automation
An autonomous career-deliverables engine that turns a website form submission into a complete client package: a 7-stage AI pipeline with a human approval gate, self-healing reliability, live observability, and white-label multi-tenancy. Production-verified end-to-end at nexlev.co.
Form submission to complete client package in minutes, unattended
06Founder operating system
PRINCE OS
Next.js, TypeScript, Supabase, Tailwind, React Three Fiber
A personal economic value command center that connects goals, financial signal, and execution into one production operating dashboard, with versioned database migrations, RLS tests, and disciplined verification. Live at princeos.net.
Weekly operating review cut from hours of spreadsheet work to one live view
07Codex-built agent plugin
System Performance Doctor
Codex, agent skills, Windows diagnostics, scoped remediation
An AI agent plugin that collects a read-only Windows performance baseline, ranks likely bottlenecks, recommends scoped fixes, and verifies improvements without weakening security or making blind destructive changes.
Baseline to ranked, verified fixes in a single run — minutes, not hours
08Codex-built agent plugin
Social Proof Product Analyst
Codex, MCP server, Reddit + YouTube + Bluesky, decision science
An AI agent plugin with its own MCP server that turns social opinions into defensible product decisions: separates claims from sentiment, then compares products using WSM, TOPSIS, AHP, fit-for-purpose, and economic-value analysis.
Hundreds of scattered opinions distilled into one decision matrix per run
Weekly AI market signal brief
Automated market intelligence that turns AI noise into a weekly operating brief.
Career Compound Engine researches enterprise AI adoption, role language, governance patterns, tooling shifts, and operator-builder proof, then converts that signal into concise briefs and next actions.
Tracks enterprise AI adoption patterns, governance themes, market shifts, and workflow automation signals.
Translates research into concise executive briefs, content ideas, project priorities, and proof-of-work actions.
Keeps the operating narrative focused on AI transformation, measurable adoption, and business decision support.
AI operating intelligence dashboard
A practical cockpit for enterprise AI execution.
The dashboard model connects market signal, adoption metrics, governance checkpoints, workflow automation, and executive reporting into one operating view.
Governance layerIntake → risk → rollout
Reusable enterprise AI operating model
Adoption layerScorecards + cadence
Measures behavior change and usage quality
Automation layerClaude + n8n
Turns signal into repeatable action
Executive layerBriefs + decisions
Makes AI progress visible to leadership
Public proof shelf
A curated proof shelf for AI transformation work.
Prince combines enterprise operating experience with shipped AI systems, automation workflows, and product builds that show how AI can move from idea to governed execution.
Career Compound Engine: Claude, n8n, Notion, Airtable, Gmail, and weekly AI hiring-market signal automation.
TYS Table: AI-assisted product development using Next.js, TypeScript, Supabase, Claude, and Vercel.
NexLev Engine: an autonomous, self-healing AI pipeline that delivers complete career packages with a human approval gate.
PRINCE OS: a production founder operating system tracking personal economic value with Next.js, Supabase, and 3D visualization.
Agent plugin lab: Codex-built plugins including System Performance Doctor and Social Proof Product Analyst, with custom skills and MCP servers.
Enterprise AI transformation artifacts: PMO, governance, adoption, forecasting, and executive decision-support systems.
Public portfolio layer: curated proof that connects AI tooling to business outcomes and operating rhythm.
Credential surface
SAFe 6 Scrum MasterMicrosoft 365 Copilot for WorkExtend Microsoft 365 Copilot with AI AgentsAgentic AI systemsn8n automation for analytics and reportingCertNexus AI/ML business problem solving
Target role signal