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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What does AI maturity look like in a mid-market business?

Perspectives

What does AI maturity look like in a mid-market business?

AI maturity in mid-market businesses explained for PE operating partners - what good looks like, how to assess it and where to focus during value creation.

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The AI due diligence checklist every PE operating partner needs

Tools

The AI due diligence checklist every PE operating partner needs

AI due diligence checklist for PE operating partners - assess data infrastructure, deployed capability, talent risk and governance before close.

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How to conduct an AI due diligence on a portfolio company

Tools

How to conduct an AI due diligence on a portfolio company

AI due diligence for portfolio companies: a structured framework for PE operating partners to assess data maturity, AI capability and value creation potential.

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AI strategy in 2026: what's changed and what still matters

Perspectives

AI strategy in 2026: what's changed and what still matters

Most organisations that invested in AI over the past two years have something to show for it. A chatbot. A dashboard. A pilot that worked in the demo. What they often do not have is a business that operates meaningfully…

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What is model fine-tuning and when does it make sense for a business?

Perspectives

What is model fine-tuning and when does it make sense for a business?

Model fine-tuning explained for business leaders - what it is, when it makes commercial sense, and how to decide if your use case justifies the investment.

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How to brief an AI consultancy: a guide for business leaders

Playbooks

How to brief an AI consultancy: a guide for business leaders

How to brief an AI consultancy effectively - a practical guide for business leaders on scoping, data, success criteria and choosing the right firm.

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What is structured data injection and when should you use it instead of RAG?

Perspectives

What is structured data injection and when should you use it instead of RAG?

Structured data injection vs RAG - understand the architectural difference and when each approach is right for financial, operational and transactional data.

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How to run an AI proof of concept that stakeholders will trust

Playbooks

How to run an AI proof of concept that stakeholders will trust

AI proof of concept projects fail when success criteria aren't agreed upfront. Here's how to scope, run and conclude a PoC that earns stakeholder trust.

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The hidden costs of AI that most vendors don't talk about

Perspectives

The hidden costs of AI that most vendors don't talk about

The hidden costs of AI go far beyond software licences. Learn what vendors don't model - and how to build a cost case that holds up.

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How to measure AI performance beyond accuracy metrics

Perspectives

How to measure AI performance beyond accuracy metrics

AI performance measurement goes beyond accuracy metrics. Learn the four-layer framework that connects model output to real business outcomes and board-level results.

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