OPTIMIZIUM · AI · PROCESS · AUTOMATION

I design better ways for people, processes and AI to work together.

Optimizium is my independent AI and process practice. I help organizations define the right problem, redesign the work around it and turn AI into solutions that hold up beyond the demo.

Independent practice · Strategy to working proof
Optimizium card with a luminous figure ascending against a dark background
Optimizium · People × Process × AI

Ideas made tangible enough to test.

I build working systems to examine assumptions, expose edge cases and learn how AI behaves in real workflows.

01 / POSTOMAT

Postomat — LinkedIn publishing workspace

An access-controlled, multi-user workspace for drafting, organizing and publishing LinkedIn content through each user’s own OAuth connection.

What it does: Drafts, campaigns, media, calendar planning and direct LinkedIn publishing.
02 / VEIL

Veil — local PII anonymizer

A privacy-first browser app for reviewing and anonymizing sensitive text and documents without sending their content to a backend.

How it works: Local pattern and NER detection, human review, then copy or plain-text export.
03 / AGENT

AI narrator for an RPG game

An AI agent that narrates play while maintaining memory, context and game state. The game provides a safe environment for observing agent behaviors that can also emerge in business systems.

What it tests: Agent memory, context continuity and state management.

Four ways Optimizium turns uncertainty into useful action.

I work across problem framing, process design, capability building and hands-on delivery—always starting with the work, not the technology.

01 / CLARIFY

Problem clarification

Move beyond “we need AI” by defining the business problem, affected workflow, evidence of value and where AI is relevant.

02 / REDESIGN

AI and process redesign

Examine how work flows and redesign the interaction between people, systems, decisions and exceptions.

03 / BUILD

Practical AI solutions

Turn ideas into prototypes, internal tools and automations that test assumptions early and keep the business problem in control.

04 / ENABLE

AI capability and decision support

Build practical capability around judgment, safe use and real workflows so leaders and teams can continue independently.

The work moves from clarity to evidence, then into regular use.

STEP 01

Frame the real problem

Clarify the outcome, the current process, the hidden assumptions and the constraint that actually matters.

STEP 02

Rethink the process

Redesign the flow of work around judgment, data, handoffs, exceptions and new technological possibilities.

STEP 03

Build the proof

Create a prototype, workflow or decision model that makes the idea tangible and testable.

STEP 04

Make it usable

Define ownership, controls, measures, adoption logic and the practical path from experiment to regular use.

“The objective is not to add AI to the process. It is to redesign the process now that AI exists.”

I am the founder of Optimizium, an independent practice focused on AI, process redesign, automation and the changing nature of knowledge work.

Operational view

Leadership experience shaped how I diagnose workflows, ownership and constraints.

Hands-on building

I build prototypes, internal tools and workflow systems—not recommendations alone.

Useful adoption

I help teams decide where AI should intervene, what stays human and how to test value.

Problem framing and internal alignment
AI strategy translated into workflows
AI-assisted app and prototype building
Practical AI training for leaders and teams
Use-case discovery and prioritization
Agents, automations and internal tools

Bring the problem before it becomes a project.

Define what is slow, unclear, repetitive, fragile or strategically important—then decide where AI can create meaningful leverage.