Install measurable AI operating discipline.
A two-day working session for executive teams ready to govern AI execution — not just experiment with it. Leave with all six TLC operating artifacts populated for your organization.
The Enterprise Problem
AI execution is scaling. Governance is not.
AI proliferates without authority
Teams deploy AI systems without governance structures. No one owns the decision of which AI to fund, kill, or constrain — so all of them run indefinitely.
Spend is invisible
Token consumption accumulates across systems, sprints, and teams with no attribution. Finance cannot see AI cost. Leaders cannot govern what they cannot measure.
Coordination cost erases AI gains
Every hand-off between AI output and human review is coordination overhead. As AI systems multiply, so does the invisible tax on execution speed.
Governance stays abstract
AI policies exist. Operating discipline does not. Without structured artifacts, governance remains a set of intentions — not a set of decisions.
What Gets Installed
Six governance artifacts. One operating system.
Coordination Debt™ map
Surfaces the invisible coordination overhead that grows as AI systems multiply without governance structures.
Executive Outcome
Executive clarity on where AI execution is losing velocity.
AI feature inventory
Converts informal AI deployment into a governed portfolio — with ownership, success criteria, and kill conditions defined.
Executive Outcome
A controlled register of every AI capability in operation.
Token ceiling framework
Replaces uncapped AI spend with sprint-level allocation decisions — treating cognitive compute as a finite, governed resource.
Executive Outcome
Sprint budgets with measurable ceilings instead of unlimited burn.
Velocity measurement system
Tracks output value relative to token consumption — producing the execution efficiency signal needed for investment decisions.
Executive Outcome
A quantified view of which AI features are delivering returns.
Migration mandate
Establishes executive authority for transitioning from story points to AI-native governance metrics with defined cutover dates.
Executive Outcome
Organizational authority to enforce AI operating discipline.
Tokenomics P&L
Connects token cost, coordination cost, and business contribution into a financial accountability structure visible to finance.
Executive Outcome
Feature-level economics that make AI investment decisions defensible.
Workshop Structure
Two days. Four sessions each. One integrated operating system.
Coordination Debt™ Diagnostic
Map where translation, latency, reporting, and duplication costs accumulate across your AI execution. Surface the coordination overhead growing invisibly as AI systems multiply.
AI Feature Inventory
Convert informal AI deployment into governed inventory. Define ownership, success criteria, token ceilings, and kill conditions for every AI capability in your portfolio.
Operating Model Design
Define the governance structure — who owns AI features, who approves token ceilings, who has authority to kill underperforming AI systems.
Migration Mandate Drafting
Establish executive authority for transitioning to AI-native governance metrics. Define cutover dates, required metrics, and leadership accountability.
Token Capacity Planning
Build the sprint-level allocation framework. Set token ceilings before execution begins — replacing uncapped AI spend with governed budget discipline.
Token Velocity™ Dashboard
Design the execution efficiency measurement system. Define how your organization will track value delivered relative to token consumption across sprints.
Tokenomics P&L Construction
Build the financial accountability layer. Connect token cost, coordination cost, and business contribution into a model your finance partners can govern.
Operating Discipline Activation
Review all artifacts as an integrated system. Define the cadence, ownership, and escalation paths that make AI governance operational — not aspirational.
Who Should Attend
Built for teams with AI governance authority.
CIO / CTO
Establish the governance authority and operating mandate required to transition AI from experimentation to measurable execution discipline.
AI Product Manager
Build the feature inventory, token ceiling framework, and velocity measurement system your portfolio requires to be governed rather than guessed.
Transformation Leader
Convert Coordination Debt™ visibility into a migration mandate with executive sponsorship, defined metrics, and enforceable cutover dates.
Engineering Leader
Replace unlimited AI spend with sprint-level token budgets, ceiling accuracy tracking, and output-to-Token Velocity™ signals your team can act on.
Finance Partner
Gain the tokenomics P&L model needed to connect AI inference costs to revenue contribution — making AI spend visible and governable at the portfolio level.
AI Operating Team
Leave with all six TLC operating artifacts populated for your organization — ready to run as the governance layer across your AI portfolio.
Workshop Outcomes
Leave with six operating artifacts — ready to deploy.
Coordination Debt™ Diagnostic
A prioritized view of where AI execution is slowed by human coordination cost — with recommended actions and severity scores.
AI Feature Ledger
A governed inventory of every AI capability with ownership, success criteria, token ceilings, and defined kill conditions.
Token Capacity Plan
Sprint-level token budgets with feature-level allocation decisions, ceiling accuracy tracking, and variance measurement.
Token Velocity™ Dashboard
A measurable execution efficiency signal showing value delivered relative to token consumption across features and sprints.
Migration Mandate Brief
A formal operating mandate establishing authority for AI-native governance — with metrics, cutover dates, and leadership accountability.
Tokenomics P&L Worksheet
Feature-level and portfolio-level AI economics connecting token cost, coordination cost, and business contribution.
Request a Session
Bring AI operating discipline to your organization.
The Executive Workshop is a high-engagement working session customized to your organization's AI portfolio, governance gaps, and execution challenges. Tell us about your situation and we will be in touch.
- Tailored to your organization's AI portfolio
- Delivered on-site or virtually
- Designed for executive and operating teams
- Includes all six TLC operating artifacts
Operating Doctrine
From experimentation to operating discipline.
The Executive Workshop converts AI governance from a set of intentions into a set of operating artifacts — owned, measured, and improvable across every sprint.