InfotacticaInformation and tactics, not opinions.
Infotactica publishes short, practical assets for digital leaders applying AI at scale: case files, tools and briefings that you can read quickly, trust, and use straight away.
Leaders responsible for AI are not short of commentary. They are short of time, and of evidence they can rely on when a decision is due. Infotactica is designed for that moment: the board paper, the investment decision, the workshop with a team that needs to agree what to do next.
Every asset is built around a simple test: would a busy, sceptical senior leader find it accurate, quick to use, and directly relevant to a decision they face? If not, we do not publish it.
Our standard
Every asset meets four tests before it is published, and is reviewed as facts change.
Every figure links to a primary or reputable source, with its date.
Quotations are verbatim, from named people, and linked to where they were said.
Projections are labelled as projections. Where the evidence runs out, we say so.
Each asset shows when its facts were last checked.
A practical companion to the AI-at-Scale Playbook
The AI-at-Scale Playbook sets out how to deliver AI at scale, organised around risk, trust and value. Infotactica uses the same three themes, and provides the cases and tools to apply the playbook in practice.
Alan W. Brown is Professor of Digital Economy at the University of Exeter Business School and research director at the Digital Policy Alliance. He has spent over 30 years in enterprise software and digital transformation, including as an IBM Distinguished Engineer and European CTO, and is the author of Making AI Work for Britain (2026) and Surviving and Thriving in the Age of AI (2024).
Spotted an error, or have a case we should examine? Email info@infotactica.com. Corrections are made promptly and noted on the asset.