Insights
Practical, sourced answers to the questions risk, finance, and security leads are asking as they bring AI into the business safely.
Risk & security lead
Shadow AI, the use of unapproved AI tools by employees, has become one of the fastest-growing data-governance risks for mid-market firms. A risk manager's guide to detecting it and protecting the business.
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Risk & security lead
Whether an AI provider trains on your business data depends almost entirely on which plan you buy. A risk manager's guide to the safe tiers across Anthropic, OpenAI, Google, and Microsoft.
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Chief information officer
A cost and risk comparison of AI from Anthropic, OpenAI, Google, and Microsoft for business: API and per-seat pricing, plus which fits a manufacturing, financial services, or software company.
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Risk & compliance lead
The EU AI Act reaches companies well beyond the EU, and several of its obligations are already live. A risk lead's guide to whether you are in scope, which tier your AI use falls into, and the deadlines that matter.
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Risk & compliance lead
A good AI policy fits on a page and gets followed. A risk lead's guide to the essentials: approved tools, the data line that matters most, disclosure, and accountability, without the forty pages nobody reads.
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Chief financial officer
Most AI pilots never reach production, and fewer still return value the board can see. A CFO's guide to why AI pilots stall short of payback, and the four things the ones that pay back do differently.
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Chief executive
A board funds a decision it can vote on. A chief executive's guide to the four things an AI business case must contain (value, cost, risk, and the ask) and how to size it so the board can act.
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Change & people lead
AI adoption stalls on people rather than technology. A change lead's guide to the four real reasons employees resist AI, why training alone doesn't move them, and what actually changes behaviour.
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Chief executive
Leaders need enough AI literacy to make good decisions, without learning to build. A chief executive's guide to what a leadership team actually has to understand, why it's now a legal duty too, and how to get there.
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Chief operating officer
AI readiness is more than data and tools. A COO's guide to the five dimensions that decide it (leadership, people, data, process, and governance) and an honest way to score your own.
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Board & executive
In most mid-market firms, AI risk falls between IT, legal, and the business, so it belongs to everyone and no one. An executive's guide to assigning ownership without hiring a Chief AI Officer.
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Chief financial officer
The licence fee is the small part. A CFO's guide to the four real cost lines of AI in year one (tools, enablement, integration, and governance) and why the biggest one is the one most budgets forget.
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IT & data lead
Whether your data is ready for AI depends entirely on what you ask AI to do with it. An IT lead's guide to the four things that actually matter, the permissions trap that catches everyone, and where to start.
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Operations lead
An AI agent does more than answer: it takes actions across steps and systems. An operations lead's guide to what agents actually are, where they help and where they don't, and how to choose what to automate first.
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Technology lead
For most mid-market companies, building AI agents from scratch is the wrong instinct. A technology lead's guide to the build-buy-configure spectrum, the hidden cost of building, and a pragmatic default.
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PE operating partner
The first 100 days set the AI agenda for a portfolio company. An operating partner's guide to what to do, and what to avoid, to turn AI into a board-ready value-creation lever rather than a science project.
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