Insights & FAQ

Practical writing for owners deciding about AI.

No hype, no hand-waving — answers to the questions business owners actually ask, and lessons from building production AI systems.

Strategy

AI data protection checklist for your business.

Which AI accounts can handle customer data, when to consider a DPIA and what to review before connecting AI to your email and files.

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Strategy

Shadow AI: how to find the AI tools your staff already use.

Find the AI tools staff already use, check connected apps and subscriptions, then decide what to keep, replace or stop.

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Strategy

AI agents for business: what to check before you give one access.

What an AI agent can reach, what it should never do alone and who should own it. A practical checklist before you switch one on.

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Strategy

Why AI pilots fail: the seven patterns behind every stalled build.

Seven recurring reasons AI pilots stall — and where each one could have been caught before a penny was spent.

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Decision guide

AI consultancy vs hiring an engineer: an honest decision guide.

Time-to-value, the breadth one hire can't cover, and when hiring in-house genuinely is the right call.

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Architecture

Why multi-model AI architecture beats single-vendor lock-in.

The architecture around the model matters more than the model — routing between providers turns a vendor's bad news into a config change.

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Readiness

AI readiness checklist: is your business ready for AI?

Six honest questions that tell you whether your business is ready to build something useful with AI.

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Investment

How much does AI implementation cost? A 2026 guide.

What actually drives the cost of an AI build — scope, integration, data readiness and operations.

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FAQ

The full AI consulting FAQ — the questions owners actually ask.

Cost, data safety, timescales, lock-in, stalled projects — every question we get on first calls, answered honestly.

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For the week's AI stories and what they mean for your business, see our weekly AI news.

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