INSIGHTS
Work and ideas
Case studies from real engagements, and practical guides on where AI pays off. Written by the engineers who do the work.
21 July 2026
5 min read
Technology
Fable, and the order in which work gets automated
Anthropic's latest model is superhuman at some jobs and mediocre at others, and the difference is not intelligence. Understanding why tells you exactly when AI arrives at your business, and what to do before it does.
Strategy
Where AI actually pays off in a small business
Most small firms are told to adopt AI without being told where. Here is how to find the one workflow where it pays for itself, and the traps to avoid on the way.
Governance
An EU AI Act readiness checklist for leadership
The EU AI Act is now enforcement reality, with obligations arriving on a schedule and penalties of up to 7% of global turnover. Here is what leadership actually needs to have in place.
Strategy
If the models are this good, why has nothing changed?
Businesses have spent two years and serious money on AI, and the operational metrics have barely moved. The failure modes are so consistent they can be listed. Here they are, with what the successful few do instead.
CASE STUDY · Agriculture
Keeping machines in the field
How an agricultural operation used AI agents to diagnose equipment faults, schedule repairs, and order parts before breakdowns became lost harvest days.
Engineering
Your agent demos well. Production doesn't care.
The distance between an agent that impresses in a demo and one that runs unattended for months is not more AI. It is a specific list of engineering work, and this is the list.
Strategy
The shipping container problem
The most transformative technologies create almost no value on arrival. The value shows up when the work is redesigned around them, and AI is following the pattern exactly.
CASE STUDY · Due Diligence
Deeper answers on every target
How a due diligence firm turned weeks of manual target research into days, with AI agents that gather, cross reference, and summarize intelligence its analysts can stand behind.
CASE STUDY · Digital Assets
Following the money on chain
How a digital asset compliance team used AI agents to discover links between fraudulent crypto transactions across wallets, chains, and exchanges.
Security
Adversarial Review: The Missing Layer in AI Governance
One way to increase trust is to make a proposed action defend itself against a critic before it runs. Debate is a design pattern, not a guarantee of safe autonomy.
Strategy
Beyond the chatbot: useful autonomy without replacing the team
The useful value of AI is rarely another chatbot. It is taking repetitive work off a team while keeping human judgement where the risk requires it.
Technology
The End of Hallucination: Why Multi-Model Consensus is the Future of AI
Single models make mistakes. A useful pattern is to have more than one model review the same output, then keep a record of why the final answer was chosen.
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Case studies from real engagements and practical guidance on where AI pays off. Written by the engineers who do the work. No hype, no spam.