Twenty-one articles on what production AI systems actually require — written by practitioners who build them.
Most AI projects die between proof-of-concept and production. Five structural failure modes — and what the 12% who ship actually do differently.
A demo that works is not a production system. The six properties every production AI system must have, and the shortcuts that cause systems to fail after launch.
AI projects stall for predictable reasons — and almost none of them are technical. The organisational failure modes that kill more AI projects than bad models ever will.
The AI consulting market has grown faster than it can hire people who know how to build production systems. A practical buyer’s guide.
AI consulting costs range from $10,000 to over $5M per project. What drives the difference, what is reasonable to pay, and how to evaluate cost against realistic ROI.
Most mid-market companies frame this as build vs. buy. That is the wrong question. Here is the decision that actually matters.
A fixed-fee analysis report that tells you exactly where AI fits in your operations and what it would cost to build. Here is what you receive.
Over 41% of US law firms are using AI in 2026. Here is how to go beyond generic tools — the five highest-ROI use cases and how to implement them.
Fintech companies sit on more structured data than almost any other sector — which makes AI ROI faster and more measurable. The five highest-value automation plays.
Logistics is data-rich and margin-constrained — ideal conditions for AI. Five automation plays with measurable ROI and how to sequence them.
Churn is the right first AI target for most SaaS companies — the data is there, ROI is direct, and the impact compounds. How to build AI that actually moves retention.
Ten articles on AI consultancy and implementation specific to the UK market — regulation, pricing, and sector-specific guidance.
Everything UK businesses need to know before hiring an AI consultancy in 2026 — what it costs, how to evaluate firms, and what to avoid.
Ten questions that separate genuine AI practitioners from strategy firms with an AI slide deck. A UK buyer’s evaluation guide.
UK AI consultancy pricing ranges from £5,000 to over £300,000. Real numbers, what drives cost, and the hidden expenses most buyers miss.
London has the UK’s highest concentration of AI consultants. How to navigate the market, what the London premium costs, and what to watch out for.
The EU AI Act applies to many UK businesses — not just EU ones. The risk classification framework and what compliant implementation looks like.
FCA Consumer Duty, model risk management, and EU AI Act compliance — what AI implementation looks like in UK regulated financial services.
SRA guidance, privilege obligations, and professional conduct rules shape what AI can do in UK legal. Five highest-ROI use cases with these constraints designed in.
Most AI consultancies in the UK advise or build — few do both. Why the handoff model fails, and what a real implementation partner looks like.
Three very different models, often confused. What each does well, what it costs, and the IR35 implications most buyers miss.
Accountants, management consultants, and recruiters. Where the real ROI is in UK professional services AI and what implementation looks like.
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This is not a general AI newsletter. The focus is narrow, practical, and implementation-specific.
The real decisions behind systems that run in production — model selection trade-offs, retrieval strategy, context management, failure handling, and the things that look fine in demos but break under real workloads.
The organisational and technical factors that determine whether an AI project reaches production or gets shelved after a promising demo. Patterns we observe across engagements, written plainly.
How to define scope for an AI project accurately, how to estimate implementation cost, and the questions you should be asking any AI vendor or internal team before committing budget.
Detailed write-ups of systems we have built — architecture decisions, what we got wrong, what we would change. Not sanitised success stories — honest accounts of what production AI development actually looks like.
Reading about AI implementation is useful. Having someone build it for you is more useful. Every engagement starts with the AI Audit — $998, a discovery call and a written analysis.