Knowing whether you are ready to build
Most AI projects are decided before engineering starts — by whether the workflow was measurable, the data was reachable, and anyone owned the metric. How to tell, and what to fix first.
Everything we've written on this
Technical due diligence checklist: what investors and acquirers check, and how founders prepare
A technical due diligence checklist in 9 areas, from architecture to AI data rights and licences, with red flags, the report to expect and founder prep.
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AI policy template: a company AI acceptable use policy you can copy
A free AI policy template: a 12-section company AI acceptable use policy with data rules and human review, mapped to NIST AI RMF, ISO 42001 and the EU AI Act.
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AI security review vs a pentest: what each one covers
A network pentest skips prompt injection, RAG poisoning and agent tool misuse. What an AI red team tests instead, mapped to OWASP LLM Top 10 questionnaire rows.
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Calibrate an LLM-as-judge for AI agents
LLM-as-judge for AI agents is usable only after a human-labeled holdout calibration. Trust auto-scores then. Book the $25,000 AI Transformation Sprint.
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Build an AI agent eval set from real tickets
Build an AI agent eval set from real tickets. Stratify volume and failures, label correct answers, gate deploys. Book the $25,000 AI Transformation Sprint.
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What to measure in an AI agent eval suite
AI agent eval metrics that should gate every deploy: golden-set size, accuracy thresholds, confidence gates. Book the $25,000 AI Transformation Sprint.
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What is an AI readiness assessment, and do you actually need one?
An AI readiness assessment scores your organisation: whether you can ship, what to fix first, what a good one contains, and when to skip it.
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Why your AI pilot never reached production — and the five gates that get it there
Pilot purgatory is an engineering problem, not an ambition problem. Here are the eval, ownership, and rollback gates that separate a demo from a deployed agent.
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Want this running in your stack?
If this is the kind of work you're trying to get into production, a 30-minute call with an engineer is the fastest path to a scoped plan with a price.