Most AI Pilots Will Fail at Scale.
It’s not the technology.
Different decision makers, different problems. We help portfolio owners identify AI disruption risks across their companies – and help operating teams design the governance frameworks to deploy AI safely at scale.
Strategic AI Advisory: Two Paths
Different decision makers, different problems. Choose your path:
Business Owners and the C-Suite
“Which of your companies face AI disruption – and which have AI upside?”
Functional Executives
“We know we need AI governance – how do we design it?”
Portfolio ai assessment
For PE firms and multi-company owners – triage AI risk and opportunity across your portfolio.
- Competitive threat analysis across all portfolio companies
- Industry urgency matrix: “Defend Now” vs. “Offensive Opportunity” vs. “Monitor”
- Shadow AI exposure audit
- Top 3-4 companies prioritized for deep transformation planning
Deep Company Strategy
Single company? Start here – strategic roadmap from assessment to pilot
- Five Forces analysis: How AI reshapes competitive dynamics
- Use case prioritization by ROI, feasibility, risk
- Workforce transformation planning
- 90-day gated pilot roadmap with kill/scale decisions
- Board/investor communication: translating AI strategy into governance and value narratives
AI Governance Readiness
Assess your current state and organizational readiness for AI adoption.
- Data sovereignty assessment: rationalizing public, private, and open source model adoption in the enterprise
- AI platform evaluation: guidance on vendor selection across public, private, and open source options
- Current state gap analysis: how Generative AI and Agentic AI expose limitations of existing IAM/governance tools – and why each requires a different approach
- Organizational readiness: people, process, policy, and cultural alignment for Agentic AI adoption
Agentic AI Architecture
Design the technical foundation for AI at scale.
- MiddlewAIre framework: business-driven governance and authorization layer for autonomous agents at scale
- Agent identity and credential lifecycle management
- Private LLM deployment: data sovereignty by design
- Proof-of-concept design: pilot scoping with success metrics before scaled deployment
- Integration path with existing IAM infrastructure – Ping, SailPoint, Okta, Azure AD, Saviynt
From the Trenches
Battle-tested insights from 600+ enterprise transformations – distilled into patterns that determine whether AI deployments scale or fail.
Lebensstreifen
“Life Stripes” – The Wisdom Wrinkles of Transformation
Transformation Battle Scars
The 5 Success Patterns – and the Human Truth
“250 years ago, Sturm und Drang pushed back against the Enlightenment’s cold reason. Today, we’re experiencing our own emotional reckoning with AI. History offers guardrails.”
“It’s the People, Stupid.” – adapted from James Carville. Technology doesn’t transform organizations. People do. AI just raises the stakes.
16 defining moments from four decades of enterprise transformation – from saving Shopko’s holiday season to leading the Healthcare.gov Tech Surge. These aren’t theories. They’re scars.
Distilled from ~200 career-defining engagements into the patterns that represent the 80/20 rule of transformation. Plus: what happens when AI develops “Context Amnesia” mid-conversation – and why you need to expect weird sh*t to happen.
Hard-won lessons:
- “Technology amplifies processes – automate a broken process, and you’ve made it fail faster.”
- “Rationalization is the third greatest instinct.”
- “In the absence of clarity comes leadership.” –Lou Gerstner
- “Measure four times, cut once.” –Healthcare.gov lesson
- The “Shiny Object Syndrome” that killed Shopko
the five patterns:
- The Trust Imperative – stakeholder trust precedes technology
- Technology Informed Process Evolution
- The Knowledge Preservation Pattern
- Crisis & Political Navigation
- The Innovation Control Balance
Enterprise Transformation Case Studies
Technical proof points: IAM and Governance Implementations at Scale
Legacy IAM
Modernization
$700B Wealth Management Firm
Led transformation from heavily customized Tivoli IAM to ForgeRock, establishing governance frameworks for modern identity management at enterprise scale.
Cross-Platform IAM Migration
$3B Manufacturing Company
Orchestrated Oracle to ForgeRock conversion, redesigning identity governance processes to support global operations across 60 countries.
Enterprise IAM Redeployment
Toyota North America
Reimplemented Oracle IAM with enhanced governance and compliance frameworks for automotive manufacturing operations.
Proven Enterprise Transformation Track Record
600+
Transformations
IAM, governance, and technology-led change across 60 countries
$1T+
Client Scale
$700B wealth management, $3B manufacturer, Toyota North America
2025
AI Research
Sabbatical year: hands-on generative and agentic AI deployment research
