Ruth Kearney
Co-founder, Nightingale HQ
Ruth Kearney is a co-founder of Nightingale HQ. She works with senior leaders to build the conditions in which AI programmes actually succeed: clear operating models, honest maturity assessments, and adoption plans grounded in how people really work. Ruth writes on strategy, leadership, and turning frameworks into everyday practice.
Recent posts
You probably already have a strategy deck, a business plan, or a board update sitting in a folder. Here is how to turn them into an AI strategy without retyping any of it.
A plain-English guide to the AI management system standard - what it covers, who needs certification, and how to borrow its structure even if you don't.
Budgeting for AI includes tech, data, people, external consultants, and ongoing operations. Here's how to estimate without pretending it's precise.
AI strategy needs more than data scientists. Here's the roster and why each role matters.
Common criteria: strategic fit, feasibility, data availability, cost, risk, and time to value. Here's how to combine them into a roadmap.
Yes, usually. Without it, AI strategy optimises the wrong things. Here's what the canvas exposes.
The best AI portfolios combine top-down business priorities with bottom-up ideas from people who know the work.
Open idea capture unlocks energy across the organisation. Without triage, it also drowns the team responsible for delivery.
AI strategies that skip the business model tend to optimise the wrong things. Here is what to map first, and why.