Intelligence from the Field
Strategic thinking and practical guidance grounded in building applied AI, data and software systems for real operational and commercial problems.
Browse the Glossary
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.
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.
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.
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.
Perspectives
AI hallucination: what it is and how businesses should manage it
AI hallucination explained for business leaders — what it is, why it happens and how to build the controls that make enterprise AI deployment safe and scalable.
Perspectives
What is the context window in an LLM and why does it matter?
Context window in LLMs explained for business leaders — what it is, why size matters and how to make better AI deployment decisions.
Playbooks
How to get your data ready for AI in six practical steps
Data ready for AI? Six practical steps to assess quality, governance and pipeline readiness before committing budget to any AI initiative.
Perspectives
AI and data privacy: what every business leader needs to understand
AI and data privacy risks go beyond compliance. Business leaders need to understand the commercial, regulatory and governance gaps before they scale AI systems.
Playbooks
How to structure an AI centre of excellence in your organisation
How to structure an AI centre of excellence that delivers commercial results — mandate, composition, operating model and governance for mid-market organisations.
Perspectives
What is prompt engineering and why does it matter for business?
Prompt engineering explained for business leaders — what it is, why output quality depends on it and how mid-market organisations can build this capability at scale.
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