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AIROI Association For Champions

Become your company's
AI Champion.
$999. One hour a week.

Become the most productive person your company has ever seen.

Here's exactly how you'll do it.

1x

Start

→

2x

Artifacts

→

5x

Process

→

10x

Context

→

100x

Orchestration

See the Curriculum Get Started

Built from training delivered to leaders at

Meta Microsoft Amazon Google Accenture Deloitte PwC KPMG Nike Starbucks FedEx

The Opportunity and the Threat

Your value and income
trajectory will change.

By the end of 2026, every professional will be an AI Champion, an AI User, or an AI Resistor. The outcome will determine the future of your career.

AI Resistors

"I'll wait and see"

Income collapses as AI-augmented workers take your work at 10x the speed and half the cost.

AI Users

"I use ChatGPT"

Treading water while the floor erodes. Using AI for drafts isn't a strategy—it's table stakes.

AI Champions

"I operate the full stack"

Exponential leverage. Irreplaceable value. The person no company can live without.

This isn't speculation. The shift already happened.

See Why Now

Why Now

AI crossed 50%.
The constraint shifted.

In December 2025, GPT-5.2 became the first AI model to outperform industry experts on real-world professional tasks. The bottleneck is no longer expertise. It's context. And context is what you have.

1

Your Context is Your Moat

AI can match expert quality—but only with the right context. Your years of experience, your understanding of how things actually work, your knowledge of the people and politics and history—that's what AI can't replicate without you.

2

Full-Stack Before Anyone

Below 50%, AI was a draft machine—faster than humans, but requiring expert review. Above 50%, you can operate across the entire business at expert quality. Finance. Operations. Marketing. HR. The first movers build muscle memory while others wait.

3

The Window is Open

This capability gap is temporary. Everyone will have these tools. The question is who builds the muscle memory first—who becomes the person that companies can't live without.

The path from 1x to 100x isn't complicated.

Here's exactly how you'll do it.

See the Curriculum

Training · The AI Champion Path

Here's exactly how you'll do it.

Four certifications. Forty workshops. One hour a week. You go from curious to unstoppable.

1x

Start

→

2x

Artifacts

→

5x

Process

→

10x

Context

→

100x

Orchestration

Black Belt 1 · 10 Workshops

AI Artifact Engineering

1x → 2x

The output layer of AI capability. What AI can actually produce—and how to ask for it. Most people ask for documents when they could ask for applications.

BLUEPRINTS Artifact Production System

You'll Learn

  • • The full taxonomy of AI-producible artifacts
  • • Why mental models shaped by Office software limit output
  • • How to recognize when a "document" should be a tool
  • • The seven unlocks that expand what's possible

You'll Build

  • • Personal artifact vocabulary reference
  • • "What could this be?" decision tree

Guiding Question

"What would this look like if it were interactive?"

You'll Learn

  • • Visual hierarchy principles that guide the eye
  • • Grid systems and how to specify them to AI
  • • Responsive design vocabulary (mobile, tablet, desktop)
  • • Typography and spacing fundamentals

You'll Build

  • • Layout specification template
  • • Responsive artifact that adapts to screen size

Guiding Question

"How should the eye move through this?"

You'll Learn

  • • Why HTML beats PDF, Word, and PowerPoint for delivery
  • • The browser as universal runtime (every device, no install)
  • • Self-contained artifacts with zero dependencies
  • • Embedding, sharing, and version control advantages

You'll Build

  • • Self-contained HTML artifact
  • • Delivery format decision guide

Guiding Question

"What dependencies can I eliminate?"

You'll Learn

  • • Mermaid syntax for flowcharts, sequence diagrams, and more
  • • When to use diagrams vs. text vs. tables
  • • How to prompt AI to generate diagram code
  • • Embedding live diagrams in HTML artifacts

You'll Build

  • • Process flowchart from text description
  • • Org chart with embedded interactivity
  • • Timeline visualization

Guiding Question

"What would this look like as a diagram?"

You'll Learn

  • • How to specify visual design in natural language
  • • Communicating brand guidelines to AI
  • • Describing interactive behaviors precisely
  • • Iterative refinement techniques

You'll Build

  • • Artifact prompt template library
  • • Brand-compliant artifact from scratch

Guiding Question

"What would I tell a designer to do differently?"

You'll Learn

  • • Why regeneration beats manual editing
  • • How to describe changes conversationally
  • • Version control for AI-generated artifacts
  • • When to regenerate vs. when to edit

You'll Build

  • • Artifact through 5+ regeneration cycles
  • • Change request prompt patterns

Guiding Question

"What would I tell AI to change?"

You'll Learn

  • • Calculator logic and formula embedding
  • • Decision tree design and branching
  • • Form validation and user feedback
  • • Quiz and assessment patterns

You'll Build

  • • ROI calculator for your domain
  • • Decision tree for a common workflow
  • • Interactive assessment or quiz

Guiding Question

"What would this do if it were a tool instead of a document?"

You'll Learn

  • • Tab and accordion navigation patterns
  • • Progress tracking and completion states
  • • LocalStorage for saving user input
  • • Multi-page artifact architectures

You'll Build

  • • Tabbed interface artifact
  • • Persistent form that saves progress

Guiding Question

"What should this remember?"

You'll Learn

  • • Identifying what changes vs. what stays constant
  • • Variable insertion and conditional logic
  • • Template versioning and maintenance
  • • Batch generation from data sources

You'll Build

  • • Parameterized template for your use case
  • • Variable specification document

Guiding Question

"What changes? What stays the same?"

You'll Learn

  • • Designing artifacts for composability
  • • Merging components from different artifacts
  • • Building and organizing an artifact library
  • • Compound artifacts that combine multiple functions

You'll Build

  • • Composite artifact from 3+ existing components
  • • Personal artifact library with naming conventions

Guiding Question

"What have I already built that I can reuse?"

After BLUEPRINTS: You know what AI can produce, and you can ask for it with precision. Your vocabulary has expanded from documents to applications.

Black Belt 2 · 10 Workshops

AI Process Engineering

2x → 5x

Now you know what's possible. Process engineering teaches you to build it repeatably. Turn one-off wins into systematic workflows—build once, run many times.

FACT Human Capability Layer 4 Workshops

You'll Learn

  • • Map any process as an information factory with inputs, transformations, outputs
  • • Identify the binding constraint that limits throughput
  • • Apply Theory of Constraints to knowledge work
  • • Redesign flow before optimizing individual steps

You'll Build

  • • Process constraint map for a core workflow
  • • Before/after flow diagram

Guiding Question

"Where does work wait?"

You'll Learn

  • • Use AI to generate 10x more options in the same time
  • • Cluster alternatives into decision-ready families
  • • Avoid premature convergence on suboptimal solutions
  • • Balance exploration breadth with evaluation depth

You'll Build

  • • Option generation prompt library
  • • Decision matrix template

Guiding Question

"What haven't we considered?"

You'll Learn

  • • Design AI-powered red team sessions
  • • Use steelman (not strawman) critique patterns
  • • Identify hidden assumptions and failure modes
  • • Stress-test decisions before committing resources

You'll Build

  • • Pre-mortem analysis template
  • • Assumption audit checklist

Guiding Question

"How could this fail?"

You'll Learn

  • • Map upstream and downstream dependencies
  • • Identify second and third-order effects
  • • Use systems thinking to prevent local optimization traps
  • • Build feedback loops into process changes

You'll Build

  • • System impact map
  • • Dependency tracker

Guiding Question

"What else does this touch?"

SCOPED Process Transformation 6 Workshops

You'll Learn

  • • Document current-state processes with precision
  • • Establish baseline metrics (time, cost, quality, volume)
  • • Identify variation and waste in existing workflows
  • • Research world-class benchmarks for comparison

You'll Build

  • • Current-state process map
  • • Baseline metrics dashboard

Guiding Question

"What is actually happening today?"

You'll Learn

  • • Write unambiguous step-by-step procedures
  • • Define terms, thresholds, and decision criteria
  • • Create branching logic for edge cases
  • • Version control your process documentation

You'll Build

  • • Process source code document
  • • Decision tree for exceptions

Guiding Question

"Could someone follow this without asking questions?"

You'll Learn

  • • Design intake forms that capture required context
  • • Build context compilers that structure messy inputs
  • • Create prompt templates that consume structured data
  • • Chain multiple AI steps into coherent workflows

You'll Build

  • • Context compiler for your process
  • • Intake-to-output workflow

Guiding Question

"What does AI need to know to run this?"

You'll Learn

  • • Design validation checkpoints that catch errors early
  • • Build approval workflows with clear escalation paths
  • • Create automated QC rules for AI outputs
  • • Balance speed with appropriate risk controls

You'll Build

  • • Guardrail specification document
  • • Escalation decision tree

Guiding Question

"What could go wrong, and how do we catch it?"

You'll Learn

  • • Choose between Expert-run, Operator-run, and Agent-run modes
  • • Design clean handoffs between humans and AI
  • • Set up triggers and scheduling for recurring processes
  • • Create runbooks for different execution scenarios

You'll Build

  • • Execution mode decision matrix
  • • Process runbook

Guiding Question

"Who runs this, and when?"

You'll Learn

  • • Measure actual vs. baseline performance
  • • Identify the next highest-leverage improvement
  • • Build continuous improvement into the process itself
  • • Create feedback loops that compound gains over time

You'll Build

  • • Performance measurement dashboard
  • • Improvement prioritization matrix

Guiding Question

"Did it work, and what's next?"

After FACT + SCOPED: You can transform any process systematically. You think like an engineer, not a prompter. Build once, run many times.

Black Belt 3 · 10 Workshops

AI Context Engineering

5x → 10x

Your processes work, but outputs are generic. Context engineering makes AI feel like it knows your business—your strategy, your terminology, your standards.

MASTERPLAN Company Context Layer

You'll Learn

  • • Why AI fails without organizational context
  • • The shift from implicit to explicit knowledge
  • • Context as competitive advantage
  • • The Chief Context Officer mindset

You'll Build

  • • Context audit of current state
  • • Context infrastructure roadmap

Guiding Question

"What does a new employee need 6 months to learn?"

You'll Learn

  • • Translate strategy into AI-readable priorities
  • • Define tradeoffs explicitly (speed vs. quality, etc.)
  • • Create goal hierarchies AI can reference
  • • Align AI outputs with strategic intent

You'll Build

  • • Strategic priorities context file
  • • Tradeoff decision matrix

Guiding Question

"What would the CEO say matters most right now?"

You'll Learn

  • • Map the human command chain for AI to understand
  • • Define role boundaries and decision rights
  • • Create escalation paths that AI can follow
  • • Document who owns what and why

You'll Build

  • • Organization context file
  • • Decision rights matrix

Guiding Question

"Who can say yes to this?"

You'll Learn

  • • Identify your company's core entities (products, customers, etc.)
  • • Create canonical definitions that eliminate ambiguity
  • • Build glossaries AI can reference
  • • Handle synonyms, aliases, and edge cases

You'll Build

  • • Core taxonomy document
  • • Entity relationship map

Guiding Question

"What do we actually mean when we say [X]?"

You'll Learn

  • • Document planning cadences and meeting rhythms
  • • Define lifecycle stages and handoff points
  • • Create "standard plays" for recurring situations
  • • Make tribal knowledge explicit

You'll Build

  • • Operating model context file
  • • Standard plays library

Guiding Question

"How do we actually do things around here?"

You'll Learn

  • • Map data domains to authoritative sources
  • • Create a data sovereignty matrix
  • • Define what "true" means for each entity
  • • Handle data conflicts and reconciliation

You'll Build

  • • Systems of record map
  • • Data authority context file

Guiding Question

"Where is the source of truth for [X]?"

You'll Learn

  • • Define what AI can and cannot do in your org
  • • Create data handling and privacy rules
  • • Set approval thresholds and escalation triggers
  • • Build compliance into AI workflows

You'll Build

  • • AI policy framework
  • • Guardrail specification document

Guiding Question

"What should AI never do without asking?"

You'll Learn

  • • Define AI maturity levels for your organization
  • • Create standardized metrics for AI initiatives
  • • Set targets and benchmarks
  • • Build measurement into AI workflows

You'll Build

  • • AI maturity assessment framework
  • • KPI dashboard template

Guiding Question

"How do we know if this is working?"

You'll Learn

  • • Design change management for AI adoption
  • • Create manager talking points and scripts
  • • Build rituals that reinforce new behaviors
  • • Handle resistance and skepticism

You'll Build

  • • Change management playbook
  • • Manager enablement kit

Guiding Question

"How do we get people to actually use this?"

You'll Learn

  • • Assign context ownership and maintenance responsibility
  • • Create update triggers and review cadences
  • • Detect and prevent context drift
  • • Build governance into the system

You'll Build

  • • Context governance framework
  • • Maintenance calendar and ownership matrix

Guiding Question

"Who keeps this current, and how?"

After MASTERPLAN: AI knows what you know. Outputs sound like your company, follow your rules, and align with your strategy. Context is no longer a bottleneck.

Black Belt 4 · 10 Workshops

AI Agent Orchestration

10x → 100x

The capstone. Remove yourself from execution. Build AI employees, then coordinate AI teams. This is where 10x becomes 100x.

BUILD Single Agent Design 5 Workshops

You'll Learn

  • • Define an agent's role with job-description-level clarity
  • • Set boundaries for what the agent can and cannot do
  • • Specify output formats and quality criteria
  • • Create a clear definition of "done"

You'll Build

  • • Agent specification document
  • • Role boundary matrix

Guiding Question

"If this were a job posting, what would it say?"

You'll Learn

  • • Identify all inputs an agent needs to function
  • • Map dependencies on other systems and people
  • • Define permission levels and access rights
  • • Set escalation triggers for edge cases

You'll Build

  • • Agent dependency map
  • • Permission and escalation matrix

Guiding Question

"What does this agent need to do its job safely?"

You'll Learn

  • • Connect agents to tools and data sources
  • • Create reusable macros and shortcuts
  • • Enforce output contracts and validation
  • • Inject company context by default

You'll Build

  • • Working agent with tool connections
  • • Output validation rules

Guiding Question

"What tools does this agent need access to?"

You'll Learn

  • • Design phased rollouts for agent deployment
  • • Use plan→execute→verify loops
  • • Set up monitoring and alerting
  • • Create rollback procedures

You'll Build

  • • Agent launch checklist
  • • Monitoring dashboard

Guiding Question

"How do we know it's working in production?"

You'll Learn

  • • Diagnose agent failures systematically
  • • Create verification test suites
  • • Run effective agent retrospectives
  • • Turn one-time fixes into permanent improvements

You'll Build

  • • Agent debugging playbook
  • • Regression test suite

Guiding Question

"Why did it fail, and how do we prevent it forever?"

SWARM Multi-Agent Systems 5 Workshops

You'll Learn

  • • Design multi-agent team structures
  • • Define clear role boundaries to prevent overlap
  • • Identify parallelizable vs. sequential work
  • • Create coordination protocols

You'll Build

  • • Multi-agent team blueprint
  • • Role interaction diagram

Guiding Question

"Which agents need to work together, and how?"

You'll Learn

  • • Design shared context that all agents can access
  • • Create common rules and constraints
  • • Define output contracts between agents
  • • Build shared memory and state

You'll Build

  • • Shared context specification
  • • Inter-agent contract library

Guiding Question

"What does every agent need to know?"

You'll Learn

  • • Design dispatch mechanisms for multi-agent work
  • • Create check-in and sync points
  • • Set WIP limits to prevent overload
  • • Build convergence protocols for outputs

You'll Build

  • • Orchestration workflow
  • • Convergence checklist

Guiding Question

"How do we keep multiple agents in sync?"

You'll Learn

  • • Design clean handoffs between agents
  • • Create human-in-the-loop gates
  • • Define escalation triggers and paths
  • • Balance autonomy with appropriate oversight

You'll Build

  • • Routing decision tree
  • • Escalation protocol document

Guiding Question

"Where does a human need to approve or intervene?"

You'll Learn

  • • Define metrics for multi-agent systems
  • • Track throughput, quality, and intervention rates
  • • Identify bottlenecks and failure patterns
  • • Build continuous improvement loops

You'll Build

  • • Multi-agent monitoring dashboard
  • • System health scorecard

Guiding Question

"Is the system getting better over time?"

After BUILD + SWARM: You can design, deploy, and manage AI agents that work while you sleep. You've graduated from operator to orchestrator. Welcome to 100x.

4

Black Belts

40

Workshops

7

Frameworks

1

Hour/Week

100x

Multiplier

Tools · The Acceleration Layer

Training builds capability.
Tools build speed.

Think of it like a 100-meter sprint. Training gets you to the 95-meter mark. These workflows put you on rails for the final 5. Pre-built, tested, ready to run.

13

Functional Categories

Strategy, Marketing, Sales, Operations, Finance, HR, IT, and more. Every department covered.

1,297

Business Processes

Based on the APQC Process Classification Framework. The complete map of enterprise operations.

∞

Ready-to-Use Workflows

Context compilers, prompt sequences, and validation frameworks. Copy, customize, deploy.

Process Categories

→ Develop Vision & Strategy

→ Market & Sell Products

→ Deliver Products & Services

→ Manage Customer Service

→ Develop Human Capital

→ Manage Information Technology

→ Manage Financial Resources

→ Acquire & Manage Assets

→ Manage Enterprise Risk

→ Manage External Relations

→ Develop Business Capabilities

→ Manage Knowledge & Content

You don't need to figure out how to use AI.

The workflows are already built. You just need to run them.

Pricing · Simple & Transparent

One person. One price.
Unlimited upside.

What's Included

4 Black Belt Certifications (40 workshops) $8,000 value
1,297 Process Workflows Library $5,000 value
Weekly Group Coaching $2,000 value
Total Value $15,000

$999

$2,000

  • → Complete 4 Black Belt curriculum (40 workshops)
  • → Weekly group coaching
  • → One hour a week commitment
  • → Go from 1x to 100x
Become an AI Champion