Enterprise Architecture
Designing scalable platforms, integration patterns, operating models, data flows, governance controls, and long-term technology roadmaps.
- Platforms
- Integration
- Operating models
- Roadmaps

Human first. Always.
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Technologist & AI Strategist.
I turn complex systems into useful, governed technology that people can actually trust.
See what I'm buildingSystems / Strategy / Outcomes
Freddie Pokrzywa — Enterprise Architect | AI Solution Architect
Enterprise Architecture
Structure, standards, and systems that hold up.
Artificial Intelligence
Agents, memory, and orchestration under human control.
I design enterprise platforms, AI operating systems, and agentic solutions that connect business strategy with practical technical execution.
Three decades in, the technology is rarely the hard part.
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
Professional achievements matter, but they do not define the whole person.
Technology should solve real problems, help people, and create lasting value.
Curiosity, humility, and the willingness to adapt are essential in both life and technology.
From ambiguity to a working system.
Designing scalable platforms, integration patterns, operating models, data flows, governance controls, and long-term technology roadmaps.
Designing responsible AI systems that connect models, data, tools, workflows, people, and measurable outcomes.
Building AI operating systems with agents, memory, perception, planning, tools, controls, verification, and human approval.
Architecting enterprise workflows across ServiceNow, including platform governance, integrations, automation, customer service, service management, and AI-enabled operations.
Working closely with stakeholders, data, users, and technical teams to turn ambiguous operational problems into practical production solutions.
Creating architecture standards, decision frameworks, controls, implementation plans, and operating practices that make technology sustainable.
Building in public, thinking in systems.
01AI Operating System
In developmentA 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.
02Enterprise AI
In developmentAn 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.
03Writing
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.
04Enterprise Architecture
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.
Ideas you can build from.

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.

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.
Early career
TODO: Replace with confirmed resume data. Foundational years working inside enterprise IT — supporting systems, then building the applications that ran on them.
Mid career
TODO: Replace with confirmed resume data. Moving from building components to designing systems: integration patterns, data architecture, and solution design across business domains.
Past decade
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.
Past decade
TODO: Replace with confirmed resume data. Leading architecture practice: standards, decision frameworks, and the technical direction that connects strategy to delivery.
Recent years
TODO: Replace with confirmed resume data. Designing machine-learning and AI solutions with attention to data readiness, evaluation, and operational fit.
Now
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.
Now
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.
Strong systems begin with clear boundaries, responsibilities, data, controls, and outcomes.
AI should support human judgment, operate within defined authority, and make its decisions and actions observable.
A technically impressive prototype has little value unless people can trust it, operate it, maintain it, and improve it.
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.”
The person comes before the profession. Family time comes first, so replies may take a day or two.