8–16 Week Enterprise Engagement

TRAILS Operating System

Build the enterprise muscle for continuous AI-powered innovation

Full deployment of the TRAILS framework across one or more business units. Governance, culture, portfolio management, and an operating cadence that turns one-off AI wins into compounding advantage.

Starting at $50,000

The Enterprise AI Challenge

You've validated that AI works. You have bets in-flight, a team that's fluent, and leadership that's committed. But scaling is a different problem:

Scaling AI beyond one business unit without losing coherence

Building governance that enables speed rather than constraining it

Creating a culture where continuous experimentation is expected, not extra

Managing a portfolio of AI bets with explicit kill/scale discipline

Defending AI investment to the board with compounding evidence

Ensuring your AI architecture stays flexible as models, tools, and markets evolve

The Full TRAILS Framework

The Accelerants

Reveal

Enterprise-wide opportunity portfolio with adaptive architecture across business units

Act

3–5 concurrent validated bets per quarter

Inspire

Leadership activation, culture playbook, Human+AI ways of working

The Stabilizers

Trust

Enterprise AI governance framework

Learn

Traffic Light Model at portfolio level

Scale

Enterprise adoption playbook with quick wins + bold bets

Engagement Structure

Phases overlap intentionally — this isn't waterfall, it's iterative at enterprise scale.

Weeks 1–3

Foundation

— Trust + Reveal

Enterprise diagnostic, governance assessment, opportunity mapping across BUs

Enterprise TRAILS Diagnostic, governance baseline, opportunity portfolio

Weeks 4–6

Architecture

— Reveal + Act

Portfolio construction, adaptive AI architecture, sprint design for first wave of bets

AI portfolio with 3–5 bets, sprint plans, architecture blueprint

Weeks 7–12

Activation

— Act + Inspire

Sprint execution, leadership activation, culture playbook, team enablement

Running initiatives, leadership playbook, Human+AI ways of working

Weeks 10–16

Operating Cadence

— Learn + Scale

Feedback loops, Traffic Light reviews, portfolio rebalancing, expansion planning

TRAILS operating playbook, quarterly cadence, portfolio dashboard

What You Get

Enterprise AI Roadmap

Multi-quarter plan spanning business units, with prioritized bets, resource allocation, and dependency mapping

TRAILS Operating Playbook

The complete operating manual for continuous AI adoption

AI Governance Framework

Enterprise-grade governance designed to enable speed, not prevent it

Portfolio Dashboard

Visual management tool for tracking all AI bets

Leadership Activation Package

Executive coaching, culture playbook, and communication frameworks

Quarterly Cadence Design

The operating rhythm: portfolio reviews, kill/scale decisions, learning capture, and planning cycles

Enterprise Architecture Advisory

A flexible, adaptive technology architecture that prioritizes value and adaptability

This Engagement Is For Leaders Who:

Have seen TRAILS in action (through a Rung 1 or 2 engagement, or deep thought leadership engagement)

Have moved past 'should we do AI?' to 'how do we operationalize this?'

Lead organizations of $100M–$1B with real revenue responsibility

Need to scale AI beyond a single team or business unit

Want an operating system partner, not a one-time consultant

Are ready to invest in compounding capability, not just a one-time plan

Frequently Asked Questions

Ready to Build Your AI Operating System?

This conversation starts with understanding where you are and where you want to go.