Notes from 100,000 Seats · a weekly series
How large organizations actually adopt AI, reasoned from first principles.
A field guide for leaders driving AI and agentic AI transformation across executives, knowledge workers, frontline teams, citizen developers and pro-code engineers. Written by a practicing Chief Architect for GenAI & Agentic AI at a leading US telco.
AI Transformation Is a Behavior-Change Problem Wearing a Technology Costume
Why rollouts measured in licenses stall, and the first principles that move a large organization from trying AI to relying on it.
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Five personas. Two kinds of value.
Every issue maps to at least one cell. Pick the row you lead and the column you're accountable for.
| Persona | General productivity | Business productivity |
|---|---|---|
| Executives | Personal leverage, decision support | Portfolio, funding, operating model |
| Knowledge workers | Assistants for writing, research, analysis | Workflow redesign inside their function |
| Frontline employees | Mobile, voice, in-the-moment help | Process agents in the field |
| Citizen developers | Personal automations | Team agents with guardrails |
| Pro-code developers | AI-assisted engineering | Production agentic systems on the platform |
How the series is built
Six tracks, rotating weekly
01
First Principles
The mental models underneath adoption: behavior change, workflows as the unit of value, trust earned in increments.
02
Persona Playbooks
One persona per issue, across both general and business productivity.
03
Operating Model
The CoE, funding, platform and governance that let transformation scale past pilots.
04
Measuring Positive Change
Moving past seat counts to the value metrics executives actually fund.
05
Builder Continuum
From citizen developer to pro-code, and what the platform must provide at each step.
06
Field Notes
Anonymized wins and failures from inside a 100,000-person transformation.
The issues
Full archive →The builder's notebook
Also writing about
Deep dives for architects and engineers building the platforms that make transformation real.
Rohan Patnaik
Chief Architect for Generative AI and Agentic AI at a leading US telco, where I lead the AI Center of Excellence and work across enterprise AI platform strategy, multi-agent orchestration and governance. This series is what I'm learning as we take AI from pilots to 100,000 employees.
More about me →