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Freddie Pokrzywa, Enterprise Architect | AI Solution Architect

Human first. Always.

Husband.Father.Builder.

The roles that matter most don't fit on a résumé.

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Then, the work.

Technologist & AI Strategist.

I turn complex systems into useful, governed technology that people can actually trust.

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Systems / Strategy / Outcomes

Freddie Pokrzywa — Enterprise Architect | AI Solution Architect

Enterprise Architecture

Structure, standards, and systems that hold up.

  • Platform and integration architecture
  • ServiceNow and enterprise workflow design
  • Data flows, governance, and operating models

I design enterprise platforms, AI operating systems, and agentic solutions that connect business strategy with practical technical execution.

About me

Three decades in, the technology is rarely the hard part.

The Person Comes Before the Profession

Freddie Pokrzywa is a husband and father first. Those roles shape how he leads, builds, teaches, and approaches technology.

Professionally, he is an enterprise architect and AI strategist with approximately thirty years of experience in technology, including more than a decade in the ServiceNow ecosystem and several years designing artificial intelligence and machine-learning solutions.

His work focuses on connecting business strategy, enterprise architecture, data, governance, and artificial intelligence to create systems that are useful, dependable, and ready for real-world adoption.

He believes technology should improve people's lives, increase their capabilities, and create more time for the things that matter outside of work.

The person comes before the profession.

Foundation

Husband

The first role, and the one that shapes every other.

Father

The reason the work has to be worth the hours it takes.

Professional experience

30
Years in technology
12
Years in the ServiceNow ecosystem
7
Years in AI and machine learning
1
Rule: outcomes over hype
What grounds me

What Grounds Me

Three things that decide how the work gets done.
01

Family Before Titles

Professional achievements matter, but they do not define the whole person.

02

Build With Purpose

Technology should solve real problems, help people, and create lasting value.

03

Keep Learning

Curiosity, humility, and the willingness to adapt are essential in both life and technology.

How I help

From ambiguity to a working system.

Where Strategy Becomes Execution

Six areas where architecture, artificial intelligence, and delivery meet.

Enterprise Architecture

Designing scalable platforms, integration patterns, operating models, data flows, governance controls, and long-term technology roadmaps.

  • Platforms
  • Integration
  • Operating models
  • Roadmaps

AI Solution Architecture

Designing responsible AI systems that connect models, data, tools, workflows, people, and measurable outcomes.

  • Models
  • Data
  • Tools
  • Outcomes

Agentic AI and AIOS

Building AI operating systems with agents, memory, perception, planning, tools, controls, verification, and human approval.

  • Agents
  • Memory
  • Planning
  • Human approval

ServiceNow Architecture

Architecting enterprise workflows across ServiceNow, including platform governance, integrations, automation, customer service, service management, and AI-enabled operations.

  • CSM
  • ITSM
  • Automation
  • Platform governance

Forward Deployed Engineering

Working closely with stakeholders, data, users, and technical teams to turn ambiguous operational problems into practical production solutions.

  • Discovery
  • Prototyping
  • Delivery
  • Adoption

Technical Strategy and Governance

Creating architecture standards, decision frameworks, controls, implementation plans, and operating practices that make technology sustainable.

  • Standards
  • Decision frameworks
  • Controls
  • Operations
Selected work

Building in public, thinking in systems.

Selected Work

Systems built where enterprise architecture and applied AI overlap. Details are kept deliberately factual — no customer names, outcomes, or usage figures are claimed.

01AI Operating System

In development
Abstract diagram of agent, memory, and tool nodes connected through an approval gate.

Cora AIOS

A governance-first personal AI operating system combining agents, memory, tools, research, communications, scheduling, orchestration, and human approval.

Cora is built around the idea that an AI operating system needs the same discipline as an enterprise platform: clear boundaries, observable actions, and a human in the loop where authority matters. Agents handle research, communications, scheduling, and orchestration, while memory and tool access stay governed and inspectable.

  • AIOS
  • Agentic AI
  • FastAPI
  • React
  • PostgreSQL
  • Redis
  • Ollama
  • Governance
  • Human Approval

02Enterprise AI

In development
Abstract diagram of a conversational interface routing into enterprise workflow records.

BabelPhish

An AI-driven ServiceNow interface that enables conversational interaction with enterprise data, workflows, lists, dashboards, records, and reusable workspaces.

BabelPhish puts a conversational surface in front of enterprise workflow data — asking for records, lists, dashboards, and actions in plain language, then executing them through governed platform APIs and reusable workspaces.

  • ServiceNow
  • Conversational UI
  • Enterprise AI
  • Workflows
  • Data Interaction
  • Agentic Systems

03Writing

Abstract diagram of stacked chapters forming a system loop.

AIOS Book Series

A practical book series teaching readers how to build, govern, and evolve personal AI operating systems.

The series moves from a first working loop to a governed, observable, production-ready platform — written in plain language for builders who want to understand the system they are running.

  • Technical Writing
  • AIOS
  • AI Education
  • Architecture
  • Governance

04Enterprise Architecture

Abstract diagram of enterprise workflow layers connected by integration lines.

ServiceNow Enterprise Solutions

Architecture and delivery experience across enterprise workflows, Customer Service Management, IT Service Management, integrations, automation, procurement, and AI-enabled operations.

A decade-plus of platform work: designing workflow architecture, integration patterns, and governance practices that let large organizations operate ServiceNow as a dependable enterprise capability rather than a collection of point solutions.

  • ServiceNow
  • Enterprise Architecture
  • CSM
  • ITSM
  • Integrations
  • Automation
  • Governance
Books

Ideas you can build from.

Books and Practical Guides

Written for builders who want to understand the system they are running.
Front cover of Building Your First AIOS by Freddie Pokrzywa.

Building Your First AIOS

A Beginner's Guide to Creating a Personal AI Operating System

A beginner-friendly guide to building a personal AI operating system through practical feedback loops, memory, perception, planning, tools, control, and continuous improvement.

Start with one working loop. Give it perception, memory, a plan, and a tool it can use — then improve it deliberately. The book builds a personal AI operating system the way a practitioner would: small, observable, and under your control from the first chapter.

Status
Available Now
Release
Released August 16, 2026
Publisher
3C Publications, LLC
Front cover of Building Your Advanced AIOS by Freddie Pokrzywa.

Building Your Advanced AIOS

A Practitioner's Guide to Governing a Production AI Operating System

An advanced guide to evolving an AI operating system into a dependable, governed, observable, and production-ready platform.

The second book takes a working AIOS and makes it operable: authority boundaries, verification, observability, failure handling, and the governance practices that let other people depend on it.

Status
Coming Soon
Release
Winter 2027
Publisher
3C Publications, LLC
Coming Soon
Experience

A Career Built Across Technology Eras

Roughly three decades of technology work, described by era and theme. Employer names, titles, and dates are intentionally omitted until confirmed.
  1. Early career

    Enterprise IT and application development

    TODO: Replace with confirmed resume data. Foundational years working inside enterprise IT — supporting systems, then building the applications that ran on them.

    • Enterprise IT
    • Application development
  2. Mid career

    Systems and solution architecture

    TODO: Replace with confirmed resume data. Moving from building components to designing systems: integration patterns, data architecture, and solution design across business domains.

    • Systems architecture
    • Integrations
    • Data
  3. Past decade

    ServiceNow architecture and platform governance

    TODO: Replace with confirmed resume data. More than a decade in the ServiceNow ecosystem, architecting enterprise workflows and the governance practices that keep a platform sustainable.

    • ServiceNow
    • Workflow architecture
    • Governance
  4. Past decade

    Architecture leadership

    TODO: Replace with confirmed resume data. Leading architecture practice: standards, decision frameworks, and the technical direction that connects strategy to delivery.

    • Architecture leadership
    • Technical strategy
  5. Recent years

    AI and machine learning solutions

    TODO: Replace with confirmed resume data. Designing machine-learning and AI solutions with attention to data readiness, evaluation, and operational fit.

    • AI
    • Machine learning
    • Solution architecture
  6. Now

    Generative AI, agentic systems, and AI operating systems

    TODO: Replace with confirmed resume data. Building agentic systems and AI operating systems where memory, tools, orchestration, and human approval are first-class design concerns.

    • Generative AI
    • Agentic systems
    • AIOS
  7. Now

    Technical writing and education

    TODO: Replace with confirmed resume data. Writing books and practical guides that make AI systems understandable to the people who have to build and operate them.

    • Technical writing
    • Education
What I believe

Technology Should Make People More Capable

Four principles that hold across enterprise platforms and AI systems alike.
01

Architecture Before Features

Strong systems begin with clear boundaries, responsibilities, data, controls, and outcomes.

02

AI With Governance

AI should support human judgment, operate within defined authority, and make its decisions and actions observable.

03

Build for the Real World

A technically impressive prototype has little value unless people can trust it, operate it, maintain it, and improve it.

04

Human Outcomes Matter

Technology should reduce unnecessary friction, improve decision-making, and create more time for meaningful work and life outside of work.

“AI should expand human judgment,
not quietly replace it.”
Govern what matters. Measure what moves. Keep a human close to the decisions that change lives.
Contact

Let's Build Something Useful

Whether the conversation is about enterprise architecture, ServiceNow, artificial intelligence, agentic systems, technical strategy, or practical implementation, the best work usually begins with a clear problem and an honest conversation.

Direct

[email protected]LinkedIn

GitHub link pending confirmation.

The person comes before the profession. Family time comes first, so replies may take a day or two.