OperionOperion
Philosophy
Core Principles
The Rare Middle
Beyond the binary
Foundations First
Infrastructure before automation
Compound Value
Systems that multiply
Build Around
Design for your constraints
The System
Modular Architecture
Swap any piece
Pairing KPIs
Measure what matters
Extraction
Capture without adding work
Total Ownership
You own everything
Systems
Knowledge Systems
What your organization knows
Data Systems
How information flows
Decision Systems
How choices get made
Process Systems
How work gets done
Learn
Foundation & Core
Layer 0
Foundation & Security
Security, config, and infrastructure
Layer 1
Data Infrastructure
Storage, pipelines, and ETL
Layer 2
Intelligence Infrastructure
Models, RAG, and prompts
Layer 3
Understanding & Analysis
Classification and scoring
Control & Optimization
Layer 4
Orchestration & Control
Routing, state, and workflow
Layer 5
Quality & Reliability
Testing, eval, and observability
Layer 6
Human Interface
HITL, approvals, and delivery
Layer 7
Optimization & Learning
Feedback loops and fine-tuning
Services
AI Assistants
Your expertise, always available
Intelligent Workflows
Automation with judgment
Data Infrastructure
Make your data actually usable
Process
Setup Phase
Research
We learn your business first
Discovery
A conversation, not a pitch
Audit
Capture reasoning, not just requirements
Proposal
Scope and investment, clearly defined
Execution Phase
Initiation
Everything locks before work begins
Fulfillment
We execute, you receive
Handoff
True ownership, not vendor dependency
About
OperionOperion

Building the nervous systems for the next generation of enterprise giants.

Systems

  • Knowledge Systems
  • Data Systems
  • Decision Systems
  • Process Systems

Services

  • AI Assistants
  • Intelligent Workflows
  • Data Infrastructure

Company

  • Philosophy
  • Our Process
  • About Us
  • Contact
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Learning Ecosystem

Learn AI Automation

A structured approach to understanding AI systems. Components, guides, and learning paths to take you from curious to capable.

178 components

Component Taxonomy

178 building blocks across 8 layers. The complete vocabulary of AI automation.

Coming soon

Implementation Guides

Step-by-step guides for building common AI automation patterns.

36 paths

Learning Paths

Structured journeys from beginner to advanced, tailored to your goals.

Coming soon

Concepts & Principles

The mental models behind effective AI system design.

Where to Start

Depends on where you are.

Select your current situation to find the exact learning path for your goals.

Or explore the ecosystem directly

The Taxonomy

8 layers, from foundation to optimization

AI systems are built in layers. Each layer builds on the ones below. Start anywhere - every component teaches you something new.