Designing values that stick
Most corporate values projects fail. They produce a poster, not a behaviour. The values that actually shape a company are short…
People debt: what GenAI exposes, and what to do about it
GenAI does not create People debt. It exposes it. Inconsistent levelling, undocumented processes, decision rights nobody can…
The People Ops diagnostic toolkit
Five working diagnostics for People leaders: the underperformance early warning, the People-as-a-product checklist, the 90-day…
An AI enablement operating model for People leaders
Champions are a distribution layer, not a strategy. The operating model that makes AI enablement compound has three connected…
Choosing AI models for HR work
A practical guide to which AI model to reach for by HR task type. ChatGPT, Claude, Gemini, Perplexity, and the trade-offs that…
Prompting patterns for People Ops
A working library of prompt patterns for People teams: the five building blocks, prompt chaining, critical-thinking prompts that…
From prompts to systems
Most People teams are stuck between dabbling and tool-shopping. The third path is building. It has a grain, and it has a…
AI workspace setup for People teams (Claude, ChatGPT, Copilot)
How to set up an AI workspace for a People team: custom instructions, projects, and reference documents that turn AI from a…
Diagnosing AI readiness in People Ops
A two-axis maturity read plus a six-axis diagnostic for People functions. Use it before you build anything, so you build the…
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More ways into foundations
Readiness
Readiness and diagnosis
AI roadmap case study: FinEdge's first 90 days
How a 280-person fintech People team went from scattered ChatGPT use to nine production workflows in 90 days. The exact sequence…
A workflow assessment framework for People Ops
Most People teams pick AI workflows by instinct or by what is loudest. A simple scoring framework — value, frequency, fit, risk…
The People Ops AI domain map
A map of where AI fits across the People function — from sourcing to offboarding — so you can see the whole estate before you…
Enablement
Enablement and change
AI roadmap case study: FinEdge's first 90 days
How a 280-person fintech People team went from scattered ChatGPT use to nine production workflows in 90 days. The exact sequence…
Coaching and feedback systems that actually compound
Most performance systems run once a quarter and decay between cycles. The systems that compound are weekly, lightweight…
The champion model
You don't need engineers to build AI capability inside the People function. You need three or four champions, given air cover and…