Intelligence from the Field

Strategic thinking and practical guidance grounded in building applied AI, data and software systems for real operational and commercial problems.

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How to select and manage an AI consultancy as a mid-market business

Perspectives

How to select and manage an AI consultancy as a mid-market business

How to select and manage an AI consultancy as a mid-market business — a practical framework for senior leaders on evaluation, structuring engagements and avoiding common failure modes.

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The five stages of AI maturity — and where most mid-market businesses actually are

Perspectives

The five stages of AI maturity — and where most mid-market businesses actually are

AI maturity model for mid-market businesses: find out which of the five stages you're actually at and what it takes to move forward without wasting capital.

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How to turn your existing data into a strategic asset

Perspectives

How to turn your existing data into a strategic asset

Turning existing data into a strategic asset starts with the right audit, not more tools. A practical guide for CFOs, COOs and CDOs at mid-market firms.

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AI and competitive advantage: what mid-market firms can do that enterprises can't

Perspectives

AI and competitive advantage: what mid-market firms can do that enterprises can't

AI and competitive advantage: why mid-market firms between £500m–£1.5bn can outpace enterprises — and what leadership must do to act on it.

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How to evaluate your current data infrastructure before investing in AI

Playbooks

How to evaluate your current data infrastructure before investing in AI

Evaluating your data infrastructure before investing in AI is essential. This guide helps senior leaders assess quality, architecture, governance and readiness before committing budget.

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What does a responsible AI policy look like for a mid-market company?

Perspectives

What does a responsible AI policy look like for a mid-market company?

Responsible AI policy for mid-market firms: what it must contain, how to classify risk and what the EU AI Act means for your obligations in 2025.

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How to make AI a board-level priority without overpromising

Perspectives

How to make AI a board-level priority without overpromising

Making AI a board-level priority means earning credibility before asking for commitment. A practical framework for senior leaders at mid-market firms.

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The difference between analytics, business intelligence and AI — and why it matters

Perspectives

The difference between analytics, business intelligence and AI — and why it matters

Analytics, BI and AI are not interchangeable. Senior leaders who conflate them misallocate budget. Here is how to tell the difference and invest in the right layer.

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How to move from data reports to AI-driven decisions

Perspectives

How to move from data reports to AI-driven decisions

AI-driven decisions require more than better dashboards. Learn what the shift from data reports actually demands — and how to sequence it.

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What is a chief data officer and does your business need one?

Perspectives

What is a chief data officer and does your business need one?

Chief data officer: what the role really involves, whether your business needs one and how to make the case internally at £500m–£1.5bn revenue.

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