Organisational scale

For Platforms

For organisations adopting AI at scale — architecture, capability, transformation.

The pieces that turn a strategy into an operating model.

The Collective

Dr Reece LincolnChartered engineer and data scientist specialising in probabilistic modelling, uncertainty quantification, and end-to-end machine learning pipelines for nuclear, energy, and government, with a PhD in advanced composites.

Philip RobinsonTechnology and product strategy advisor who helps leaders align architecture, culture, and execution through frameworks that centre diversity, inclusion, and relational practice.

Matt SlackSenior Solutions Architect at Databricks specialising in data engineering, streaming pipelines, and modern data platforms, with a particular interest in equipping the next generation for an AI-changed world.

Phil RustTechnology strategist and data architect helping organisations understand what they are genuinely ready for, with deep experience across NHS programmes, clinical data, and regulated healthcare environments.

Essay

Manifesto: Organisational Capability and the Shared Commons

How organisations can build a collective knowledge commons and prevent the erosion of expertise under the pressure of rapid automation.

Essay

Vibecoding for the Planet: Apportioning UK Cloud Carbon Footprints in the AI Era

How compiling thin-stack native binaries offsets the massive grid-scale power consumption of UK data centres.

Essay

The Ocean Ecosystem: A Post-Transformation Paradigm for AI

Finding the right metaphor for AI-augmented work has been harder than it should be. The ocean is it. Not for the poetry, but for the structure. Here are the five elements that determine whether your ecosystem thrives.

Essay

Four things leaders must get right on automation and AI

The automation opportunity is not just a growth play. For many organisations it is increasingly a capacity question. What separates transformation that lasts from programmes that fail to return benefits.

Skill

SFIA 4L3

Data Request Fulfillment

A judgment-led, two-phase workflow for fulfilling customer dataset requests — AI-driven search and generation, with adversarial loops on both data and documentation before secure airlock publish.

Skill

SFIA 3L3

Lineage Automation

How to progress from manual AI lineage logging to an automated workflow that captures your working process as a byproduct of how you work — voice notes, session hooks, and AI-assisted structuring.

Resource

TOGAF - The Open Group Architecture Framework

The global standard for enterprise architecture. Its four domains - business, data, application, technology - remain relevant for AI deployments, though most organisations skip straight to application and technology. That is precisely where AI strategies fail.

Resource

SFIA - Skills Framework for the Information Age

The global standard for defining digital and technology skills. The Future Roles section uses SFIA levels (3–7) and skill codes to ground AI-augmented roles in an established professional framework - connecting emerging human-AI capabilities to a language organisations already use for workforce planning.

Resource

NESO Carbon Intensity Dashboard

Live visibility into how green Great Britain's electricity grid is right now. NESO - the National Energy System Operator - publishes real-time carbon intensity, generation mix, and grid balancing actions in one place. Useful context for anyone thinking about AI infrastructure, data centre energy sourcing, or what net zero looks like in operational practice. The gap between the ambition and the live numbers is instructive.