Dublin · EMEA
Stephen Rogan · CS Leadership & Applied AI

CS leadership
meets applied AI.
Built from the operating model up.

15+ EMEA marketsHigh-value retention accountability128 open-source agent skillsMIT-licensed workflow skills

The operating model came first.
AI came from understanding it.

Senior CS leadership across major SaaS, building playbooks, specialisation paths, and operating models from early stage to scale across 15+ EMEA markets. The AI work came from years of studying what CS teams actually do -- then applying technology to the parts that don't require human judgment.

Senior CS leadership across EMEA 15+ markets, commercial and cultural complexity built into every playbook
AI applied to real operational problems not theory, not demos -- deployed infrastructure that changes how teams work
CS as a revenue function, not a support function NRR accountability, every intervention traceable to an outcome
Experience building CS functions from early stage through scale playbooks, specialisation paths, operating models
Open-source contributor 128 agent skills published across three repos, MIT licensed

Where I spend
my thinking.

01
AI-Enabled
CS Leadership
Most AI-in-CS conversations start with the technology. Mine started with the operating model -- what do leaders actually need their teams to do, and which parts of that require human judgment? The answer reshapes how you build, staff, and measure a CS function.
AI · Leadership
02
CS Revenue
Architecture
CS that cannot show its fingerprints on revenue is not strategy, it is overhead. The system that changes that: trigger-based playbooks, NRR accountability, and motions tied to how customers actually buy and expand. The goal is a function that pays for itself and can prove it.
Retention · Accountability
03
EMEA CS
Strategy
15+ markets means 15+ sets of commercial norms, buyer behaviours, and regulatory contexts. EMEA is not one motion. The playbooks that work here are built for that complexity, not adapted from a single-market template.
Advisory · EMEA

Open source
contributions.

128 agent skills published across three repos, spanning Customer Success, leadership, and operating-system level workflows. Open source, MIT licensed, ready to fork and implement.

Architecture · 38 skills · 8 pillars

The Augmented
CSM

The complete decomposition of the CSM role into eight operational pillars. Every agent-executable activity specified: trigger conditions, execution logic, output formats, human decision guides. Not a product. An architecture.

Book IntelligenceLifecycle OrchestrationCommercial MotionMIT licensed
View on GitHub
Standalone · 58 skills · plug and play

CSM
Skills

58 plug-and-play skills that work from a single conversation. No system integration required. Use them standalone today and wire them into your data systems when you're ready for the full architecture.

No integration neededClaude compatibleMIT licensed
View on GitHub
Leadership · 32 skills · manager workflows

Leadership
Skills

32 Agent Skills-compatible workflows for leaders managing humans, agents, workflows, memory, and governance. The agent prepares. The human decides.

Manager OSLeadership JudgmentPeople and OrgMIT licensed
View on GitHub

Working on some of the
same problems?

I write about CS leadership, applied AI in operations, and retention as a commercial system. If any of that is close to your world, get in touch.

Get in touch
Dublin · EMEA-based and remote
The next note

I send the useful ones.

Field notes and the occasional longer piece on CS leadership, AI in real operations, and what keeps customers around. No filler.