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Cyber defensibility, explained plainly.
Resources on cyber insurance, IT governance, and AI automation. Built to answer the practical questions leaders ask before a claim, audit, board review, or customer challenge.
Answer-first articles
Written to resolve the question, not trap the reader in a funnel.
Operational judgement
Grounded in evidence, contracts, controls, and what can be defended later.
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Will My Cyber Insurance Pay? A Free Way To Check
Most businesses assume they’re covered. Few know if their cyber insurance would actually pay. Take the free Check My Cyber Policy assessment and find out.
Read articleAI for Finance Leaders: Board Packs, Forecasting, Reporting and Risk
Finance is one of the areas where AI is most immediately useful — and where most leaders haven’t yet seen it work on their own material.
Read articlePrompting for Executives: How to Get Useful Work Out of AI in 30 Minutes
A small set of executive prompting techniques can turn AI from a novelty into a useful working tool.
Read articleThe Boardroom AI Demo: What Every CEO and CFO Should See Before They Decide
The boardroom AI session should show practical value on real executive work.
Read articleAI Agents Are Coming: What Happens When Software Starts Doing the Work?
AI is moving from answering questions to doing work. That shift needs clear limits before the excitement outruns control.
Read articleThe 10 Jobs AI Can Take Off Your Desk Before Christmas
The practical AI win this year is reclaiming repetitive work that quietly fills a leader’s week.
Read articleYour First AI Employee: Where Would You Put It?
Where should your first AI employee sit in the business?
Read articleCopilot, ChatGPT and Claude: What Should Senior Teams Be Using?
The boardroom AI question is not which tool to buy. It is which work each tool is trusted to do.
Read articleWhat AI Can Actually Do in Your Business This Year
Most senior leaders have heard what AI is supposed to do. Far fewer have seen it do their work.
Read articleWhy Most AI Projects Need a Grown-Up CTO Before They Need More Tools
Why AI projects need leadership before tools.
Read articleHire, Fractional, or Consultant: Who Should Lead Your AI Programme?
Who should lead your AI programme?
Read articleFrom AI Curiosity to AI Capability: What Has to Be True Before You Spend Serious Money?
What has to be true before you spend serious money on AI.
Read articleThe AI Opportunity Map: Where to Use AI First Without Wasting Money
Where to use AI first.
Read articleThe Cyber Insurance Question: Would Your Policy Pay If AI Caused the Breach?
AI creates new cyber insurance questions. The issue is whether your policy, controls, and evidence would stand up after an incident.
Read articleCan You Use AI With Confidential, Financial or Customer Data?
Using AI with confidential or regulated data is possible, but only with the right controls and better questions.
Read articleThe AI Policy Your Business Needs Before Someone Pastes Client Data into ChatGPT
A clear AI policy gives staff permission to use AI safely before client data ends up in the wrong place.
Read articleAI Without a Data Breach: How to Let People Experiment Safely
Safe AI adoption is not a choice between banning tools and taking reckless risks. Controlled experimentation is the useful middle path.
Read articleShadow AI: Your Staff Are Already Using It — Is Your Data Leaving With Them?
Shadow AI is already inside many businesses. The risk is ordinary staff using public tools with confidential data.
Read articleThe Live AI Lab: Bring a Business Problem, Watch AI Attack It
The most persuasive AI session lets people bring real business problems and see AI work on them live.
Read articleThe 90-Minute AI Advantage Workshop for Senior Leaders
Busy decision makers need a focused AI session that is practical, honest, and immediately usable.
Read articleAI for PE-Backed Businesses: Efficiency, Risk and Value Creation
AI can create value in PE-backed businesses, but only when efficiency and risk are managed together.
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