FRANKLIN
GUZMAN

AI Infrastructure & Security Leader

AI Governance • AIOps • Cloud • Cybersecurity

BUILDING THE BRIDGE BETWEEN ENTERPRISE INFRASTRUCTURE AND INTELLIGENT SYSTEMS.

20+ years of enterprise technology experience evolving toward secure, governed and intelligent infrastructure.

CAREER EVOLUTION

ENTERPRISE INFRASTRUCTURE
CLOUD
SECURITY
OBSERVABILITY
AUTOMATION
AI INFRASTRUCTURE
AI GOVERNANCECURRENT
20+ YEARS ENTERPRISE TECHNOLOGYENTERPRISE INFRASTRUCTUREREGULATED ENVIRONMENTSAWS • AZUREAI GOVERNANCEAIOps • AUTOMATION
THE TRAJECTORY

The Trajectory

Two decades of enterprise technology evolving toward intelligent infrastructure.

PHASE 01

Enterprise IT

Foundation in enterprise IT operations — desktop support, systems administration, and infrastructure fundamentals across multi-site environments.

Windows PlatformsSystems AdministrationInfrastructure Operations
PHASE 02

Infrastructure Engineering

Deep infrastructure engineering — server lifecycle management, migrations, patching, and disaster recovery across enterprise environments.

Server LifecycleMigrationsDisaster RecoveryPatching
PHASE 03

Enterprise Platforms

Enterprise platform delivery including database and middleware coordination, production support, and cross-functional platform operations.

Database CoordinationMiddlewareProduction Support
PHASE 04

Cloud

Cloud adoption and hybrid infrastructure — AWS and Azure environments, cloud migrations, and hybrid infrastructure operations.

AWSAzureHybrid InfrastructureCloud Migration
PHASE 05

Security & Governance

Enterprise security and governance — RSA Archer GRC, NERC CIP and CIP-010 aligned change processes, BES Cyber Asset environments, and operational risk management.

RSA ArcherNERC CIPCIP-010BES Cyber AssetsChange Governance
PHASE 06

Automation

Enterprise automation — workflow automation, process optimization, and intelligent remediation across regulated enterprise environments.

Workflow AutomationProcess OptimizationAutomated Remediation
PHASE 07ACTIVE

AI Infrastructure & AIOps

Current evolution — applying enterprise infrastructure experience toward AI infrastructure, AIOps, governed automation and intelligent operations. Exploring and designing the operational foundations required for AI to become trustworthy, auditable and enterprise-ready.

AI InfrastructureAIOpsAI GovernanceIntelligent OperationsGoverned Automation
CAPABILITIES

Technology Matrix

Four interconnected domains spanning the full enterprise technology stack — from foundational infrastructure to governed AI systems.

AI & Automation

AI InfrastructureAIOpsAgentic WorkflowsAI GovernancePrompt EngineeringWorkflow AutomationResponsible AIHuman Oversight

Cloud & Infrastructure

AWSAzureWindows ServerHybrid InfrastructureDRInfrastructure Operations

Security & Governance

RSA ArcherNERC CIPCIP-010BES Cyber AssetsChange GovernanceOperational Risk

Operations

ServiceNowDynatraceIncident ManagementProduction SupportAutomated Remediation
IMPACT

Delivered Impact

Measurable outcomes across enterprise automation, cost reduction, and operational modernization.

80%

WORKFLOW AUTOMATED

Global warranty reimbursement workflow substantially automated. 2–3 weeks → under 1 week.

25%+

PROJECT COST REDUCTION

Mobile provisioning deployment package developed for a U.S. Navy project.

REPORTING MODERNIZATION

Helped consolidate AS400, Excel and Word reporting into centralized SSRS.

ROOT CAUSE IDENTIFIED

Diagnosed Microsoft Dynamics CRM routing behavior contributing to network bandwidth consumption.

CURRENT FOCUS

AI INFRASTRUCTUREACTIVE
AI GOVERNANCEACTIVE
AIOpsACTIVE
CLOUD SECURITYACTIVE
CYBERSECURITYACTIVE
ENTERPRISE AUTOMATIONACTIVE
AI SYSTEMS

Governed Intelligence at Enterprise Scale

Franklin's work sits at the intersection of enterprise infrastructure and emerging AI systems — architecting and exploring the operational foundations that make AI trustworthy, auditable and enterprise-ready. From AI infrastructure design to governance frameworks and agentic workflow orchestration, the focus is on AI that enterprises can actually rely on.

ASK FRANKLIN — AI INTERFACEREADY

> SYSTEM INITIALIZED — FRANKLIN GUZMAN AI INTERFACE v1.0

Ask Franklin about AI infrastructure, governance frameworks, AIOps, or enterprise automation strategy.

>e.g. How do you approach AI governance in regulated environments?OPEN AI INTERFACE →
AI InfrastructureAI GovernanceAIOpsEnterprise AutomationCybersecurityCloud Strategy
INTELLIGENT OPERATIONS

Intelligent Operations

From monitoring infrastructure to infrastructure capable of responding intelligently.

Franklin is designing and exploring an AI-assisted operations concept that connects Dynatrace observability signals with ServiceNow workflows through a governed AI/policy layer — enabling intelligent, auditable remediation without bypassing human oversight. This is an architectural exploration, not a production deployment.

ARCHITECTURE — CONCEPTUAL
DYNATRACE
RESOURCE CONDITION
AI / POLICY LAYER
DECISION
SERVICENOW
GOVERNED REMEDIATION
VALIDATION
DOCUMENTATION
INCIDENT CLOSURE

OBSERVABILITY LAYER

Dynatrace surfaces resource conditions and anomaly signals in real time.

AI / POLICY LAYER

Governed AI evaluates conditions against defined policies before any action is taken.

GOVERNED REMEDIATION

ServiceNow executes remediation within approved change boundaries — fully auditable.

CLOSURE & DOCUMENTATION

Every action is validated, documented and closed with a traceable record.

AI SYSTEMS LAB

AI Systems Lab

Exploring how governed AI can operate inside real-world systems.

PROJECT 01

AIONIST™

CASE STUDY

AI Advisor experience from Ampereon AI.

PRIMARY DIRECTIVE
CLIENT CONTEXT DIRECTIVE
CLIENT PROFILE
AI ADVISOR
GOVERNED RESPONSE / ACTION

Aionist explores governed AI advisory combining global operating directives, organization-specific context, client context, automation and human oversight. The architecture layers directives and profile context before any AI response is generated — ensuring every output is bounded, traceable and accountable.

AI GovernanceAI AdvisoryAutomationContext EngineeringHuman OversightMulti-model Architecture

PROJECT 02

CEDRO™

CASE STUDY

AI Editorial Intelligence for Cigars Profile.

STRUCTURED DATA + COMMUNITY INPUT
DATA THRESHOLD
AI ANALYSIS
CONTENT GUARDRAILS
COMMUNITY INTELLIGENCE

Cedro explores domain-specific generative AI constrained by structured data, freshness requirements, minimum-data thresholds and editorial guardrails. Community input and structured data feed an analysis layer that only generates content when quality thresholds are met — keeping AI output grounded in evidence.

Domain AIEditorial GuardrailsData ThresholdsStructured DataGenerative AI
OPERATING PRINCIPLES

Operating Principles

Governance by Design

Define boundaries before deploying intelligence. Governance is not a constraint applied after the fact — it is the architecture that makes intelligent systems trustworthy.

Security by Design

Security must be part of the architecture, not an afterthought. Every infrastructure decision, every AI system, every automation workflow is designed with security as a foundational constraint.

Human Oversight

Automation should increase human capability while maintaining accountability. Every autonomous action requires a defined intervention point and a human who owns the outcome.

Evidence & Traceability

Enterprise AI requires structured inputs, documented actions and auditable workflows. If you cannot trace a decision, you cannot govern it.

Operational Resilience

Availability, security, recovery and controlled change remain foundational as systems become intelligent. Intelligence built on fragile infrastructure is fragile intelligence.

AI WILL NOT REPLACE

ENTERPRISE INFRASTRUCTURE.

IT WILL BECOME

PART OF IT.

AI
GOVERNANCE
AUTOMATION
OBSERVABILITY
CLOUD
INFRASTRUCTURE
FOUNDATIONS

Foundations

20+ YEARSEnterprise Technology
MATHEMATICSAcademic Foundation
ENTERPRISEInfrastructure & Operations
CLOUDAWS • Azure
LANGUAGESEnglish • Spanish • French
COMMUNITYLeadership Recognition
CONNECT

LET'S BUILD WHAT COMES NEXT.

FOCUS CONVERSATIONS

AI infrastructureenterprise automationAI governancecybersecuritycloud modernizationintelligent operations
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