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 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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How to avoid the most expensive AI mistakes mid-market firms make

Perspectives

How to avoid the most expensive AI mistakes mid-market firms make

Avoid costly AI mistakes mid-market firms make. A practical guide for CFOs, COOs and CTOs on sequencing, readiness and governance. From Rodan Analytics.

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AI for operational efficiency: where to start in a complex business

Perspectives

AI for operational efficiency: where to start in a complex business

AI for operational efficiency starts with the right process, not the right platform. A practical guide for senior leaders at complex mid-market businesses.

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How to structure your data function as you scale beyond £500m

Perspectives

How to structure your data function as you scale beyond £500m

How to structure your data function as you scale beyond £500m - operating model, talent architecture and governance decisions for senior leaders at growing firms.

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What mid-market businesses get wrong about AI adoption

Perspectives

What mid-market businesses get wrong about AI adoption

Mid-market AI adoption fails for structural reasons, not technical ones. Here's what senior leaders at £500m–£1.5bn firms consistently get wrong and how to fix it.

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