Rahul Jindal
I design and scale AI-driven enterprise operating models that convert technology into organizational transformation. Not from the outside advising. From the inside building.
Director at Google. Co-author of The Scale Imperative (Routledge). Angel investor. IIM Ahmedabad. Kellogg. The OMI didn't come from research papers. It came from watching what actually happens when you try to make a 200,000-person organization absorb AI.
The Scale Imperative
Strategy, Automation and AI for Scale
A comprehensive framework for enterprise leaders navigating the intersection of strategy, automation, and AI at scale. Co-authored with practitioners who have lived the transformation, not just studied it.
View on RoutledgeWhy I Built This
I've spent 13 years at Google watching AI transformation programs succeed and fail. The pattern became undeniable: the constraint was never the technology. It was never the budget. It was the speed at which the organization could absorb change.
I built STACK (Strategy, Transformation, Automation, Content & Knowledge) for People Operations at Google, including the AI Garage. I've hosted rooms full of HR and L&D leaders to share what works and what doesn't. And I kept seeing the same question with no good answer:
"How do we actually know how fast our organization can absorb AI?"
Every consulting firm sells capability assessments. Nobody measures absorption speed. That's what OMI does. It came from the inside. From the frustration of watching brilliant AI initiatives die because the organization couldn't metabolize them fast enough.
The Journey
Engineer to Analyst
2002-2008Infosys (batch topper). Then intellectual property analytics at CPA Global, where he led cross-functional teams building automated patent quality scoring. Two US patents. Work recognized by IAM Magazine, Managing IP, and ABA Journal (Best Blog of the Year). Built "Deepti," an early AI system covered by BBC and Outlook.
Strategy & Business Building
2008-2013IIM Ahmedabad:Top 10 in class. Founded the Public Speaking Group, led the PE/VC Special Interest Group. Transitioned from IP analytics into enterprise strategy and operations.
Google: Operating at Global Scale
2013-Present13+ years across multiple Director roles: Media Services & Operations, Product Support & Success, Business Enablement & Digital Transformation. Built and scaled teams operating at the intersection of technology strategy and organizational design inside a 200,000-person company.
AI Transformation Architect
2024-PresentArchitected STACK: Strategy, Transformation, Automation, Content & Knowledge for People Operations at Google. The Automation pillar spans both first-party (AI Garage, building custom AI solutions) and third-party (Workday, Salesforce, Brightspot integrations). Regularly hosts senior HR and L&D leaders to share what actually works when you're transforming how a 200,000-person organization operates.
The Framework Portfolio
I produce diagnostic frameworks at an unusual rate. Each one uses a distinctive metaphor as architectural scaffolding, combined with a quantitative measurement system. They create vocabulary for things organizations feel but can't name.
STACK Operating Model
Strategy, Transformation, Automation, Content, Knowledge. One system, not five teams.
Organizational Metabolism Index
How fast can you absorb AI?
Agentification Prioritization Framework
83 agent opportunities scored. The weights are the strategic conversation.
Human Ether Index
Your workforce is 6.3x less productive than you think.
The Margin Thesis
Trillions in AI infra need returns. They'll come from your payroll.
Agentification Readiness Index
Can AI agents do real work in your org? Probably not yet.
Product Pharmacopoeia
Your product is overdosing on Vitamins while users bleed out.
Published Thinking
Selected from 100+ published pieces on leadership, product strategy, AI transformation, and organizational design.
Credentials
Angel Investor
Active angel investor across India's startup ecosystem: SaaS, fintech, healthtech, D2C, deeptech. The portfolio isn't a vanity metric. It's a pattern-recognition engine. When you see AI transformation challenges across dozens of companies simultaneously, you start to see what's structural and what's noise.
The same diagnostic instinct that identifies which startups will survive is what built OMI. Organizations, like startups, succeed or fail based on how fast they can absorb and act on change.
Methodology
OMI isn't a survey slapped together from best-practice listicles. The methodology:
Practitioner-Derived
Every question maps to a real pattern observed in enterprise AI transformation. Not theoretical models. Lived experience across industries and scales.
Research-Benchmarked
Industry benchmarks synthesized from McKinsey, BCG, Gartner, and MIT research on enterprise AI adoption maturity (2025-2026).
6 Orthogonal Dimensions
Leadership, Process, Talent, Data, Technology, Culture. Each measures a distinct vector of absorption speed. Your weakest dimension is your binding constraint.
Actionable by Design
Every result comes with specific, prioritized recommendations. Not generic advice. Targeted actions based on your weakest dimensions and organizational archetype.
Ready to measure your metabolism?
5 minutes. 30 questions. A clear picture of your AI absorption speed.
Take the OMI Assessment