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You will get Advanced Enterprise AI Workflow Architecture & MD Chips Masterclass
Rising Talent
Rising Talent
Project details
Stop relying on open‑ended prompts and start building deterministic AI systems. This premium masterclass is built for enterprise teams, IT departments, and AI enablement groups who need AI workflows that do not drift, break, or hallucinate at scale.
Led by an instructor certified in Artificial Intelligence & Application Security and Generative AI Mastermind (Autonomous Agents), this session introduces MD Chips—modular, strictly governed logic units that enforce safety, structure, and predictable outputs.
You will learn how to transition from conversational AI to architected logic. We cover how to design custom MD Chips, apply governance overlays, and deploy end‑to‑end workflows (Recon → Synthesis → Execution) aligned with your corporate security posture.
Included:
90‑Minute Live Training • Custom MD Chip Templates • Enterprise Workflow Diagrams • Governance & Safety Checklist
Ideal for teams using Microsoft Copilot, Gemini Advanced, or ChatGPT Enterprise.
(Designed to reduce AI errors, eliminate drift, and standardize outputs across your organization)
Led by an instructor certified in Artificial Intelligence & Application Security and Generative AI Mastermind (Autonomous Agents), this session introduces MD Chips—modular, strictly governed logic units that enforce safety, structure, and predictable outputs.
You will learn how to transition from conversational AI to architected logic. We cover how to design custom MD Chips, apply governance overlays, and deploy end‑to‑end workflows (Recon → Synthesis → Execution) aligned with your corporate security posture.
Included:
90‑Minute Live Training • Custom MD Chip Templates • Enterprise Workflow Diagrams • Governance & Safety Checklist
Ideal for teams using Microsoft Copilot, Gemini Advanced, or ChatGPT Enterprise.
(Designed to reduce AI errors, eliminate drift, and standardize outputs across your organization)
AI Algorithms
Large Language Model, Multimodal Large Language Model, Transformer ModelAI Applications
AI Chatbot, AI Content Creation, AI-Generated Code, Conversational AI, Natural Language Generation, Sequence ModelingAI Tools
Azure OpenAI, GitHub Copilot, Microsoft 365 CopilotAI Models
ChatGPT, GPT-4, LLaMAWhat's included
| Service Tiers |
Starter
$450
|
Standard
$600
|
Advanced
$750
|
|---|---|---|---|
| Delivery Time | 3 days | 4 days | 5 days |
Number of Revisions | 1 | 2 | 3 |
AI Model Integration | - | - | - |
Batch Normalization | - | - | - |
Database Integration | - | - | - |
Detailed Code Comments | - | - | - |
Image Upscaling | - | - | - |
MLOps | - | - | - |
Model Deployment | - | - | - |
Model Documentation | - | - | - |
Model Monitoring | - | - | - |
Model Testing & Optimization | - | - | - |
Model Tuning | - | - | - |
Natural Language Processing | - | - | - |
NLP Tokenization | - | - | - |
Pre-Training | - | - | - |
Prompt Engineering | |||
Setup File | - | - | - |
Source Code | - | - | - |
Optional add-ons
You can add these on the next page.
30‑Minute Follow‑Up Consulting
(+ 1 Day)
+$75
Custom Workflow Design
+$75Frequently asked questions
About Guadalupe
AI Security Architect | AI Systems Architect
Denver, United States - 10:58 am local time
As the founder of MatrixSecHub, I build secure, scalable, autonomous AI architectures for companies that cannot afford to deploy fragile, unvetted, or poorly governed AI into the real world.
My core expertise spans AI Security Architecture, Adversarial Testing and Red-Teaming, LLM Security and Prompt Injection Defense, AI Workflow Architecture, Secure Autonomous Systems, Multi-Agent System Design and Orchestration, Model Evaluation and Governance, and AI Automation and System Mapping.
I do not build demos. I build systems that survive adversarial conditions, regulatory scrutiny, and the operational demands of production environments.
Every engagement I take is grounded in a security-first, architecture-first methodology. Whether I am designing a customer-facing AI assistant,
automating business operations, building an AI hiring pipeline, or deploying industry-specific agent suites for telecom, fintech, healthcare, cybersecurity, or retail — the underlying principle is the same: the system must be secure, the architecture must be sound, and the outputs must be auditable.
I operate through the 5-Lane MatrixSecHub Service Suite — a modular service delivery system covering AI Assistants and CX, Business Operations and Automation, Hiring and Workforce Intelligence, Marketing and Brand Systems, and Industry-Specific Agent Suites. This structure allows me to deliver targeted solutions across the full spectrum of enterprise AI needs, from frontline customer engagement to back-office automation to executive decision support.
At the highest tier, I architect complete AI agent identities using my proprietary 5-Layer AI Identity Architecture — a full-spectrum framework encompassing Brain (core reasoning and decision logic), Voice (natural language and personality), Image (visual identity and brand-locked assets), Video (motion, avatar, and cinematic presence), and Actions (tool use, API integration, and autonomous execution). This is not chatbot configuration. This is the design of entities that think, speak, look, move, and act.
My work in AI Governance and Agentic AI reflects a deep commitment to building systems that are not only powerful but trustworthy. I conduct AI Security Audits, LLM Security Assessments, threat modeling for AI systems, Shadow AI Detection, and Zero-Trust AI Alignment — ensuring that every system I design or evaluate meets the highest standards of security, compliance, and operational integrity.
If you are deploying AI agents, multi-agent systems, CX automation, business automation, or industry-specific AI — and you need it done at architect grade with security baked into the foundation — I am the operator you hire. I design and deliver AI systems that are secure, scalable, and built to last.
🔗mshops.net
Steps for completing your project
After purchasing the project, send requirements so Guadalupe can start the project.
Delivery time starts when Guadalupe receives requirements from you.
Guadalupe works on your project following the steps below.
Revisions may occur after the delivery date.
Intake & Context Mapping
You complete a brief onboarding form outlining your AI usage, tools (Copilot/Gemini), data sensitivity level, and the workflow challenge you want solved.
Live Masterclass & Architecture Review
We conduct the 90‑minute live session covering enterprise AI risks, MD Chip architecture, and governance overlays.