What actually separates an AI pilot from an AI system
The gap is rarely the model. It is evaluation, data access, integration and the operational loop that has to exist around it before anyone can depend on the output.
Insights
Notes from the work.
AI guides, quantum explainers and technical research — written for people who have to make the decision and live with it, not for a press release.
AI Guides
Intelligent Automation
Quantum Explainers
Technical Research
Arcumo Labs
Quantum readiness without the hype
A plain assessment of where quantum plausibly matters, which problem classes are genuine candidates, and what a serious organization should actually do this year.
Grounding enterprise RAG in systems that change
Retrieval quality decays quietly as source content moves. Designing for freshness, permission inheritance and provenance from the start.
Choosing the right autonomy level for a workflow
Full automation, assisted, or human-in-the-loop — a decision framework based on error cost, reversibility and how well the outcome can be measured.
Evaluating an AI system before you trust it
Building a test set that reflects real traffic, scoring what matters to the business, and catching regressions before your users do.
Post-quantum cryptography: what to inventory now
Harvest-now-decrypt-later exposure is a present-tense risk with a long remediation tail. Where to start the inventory and how to sequence migration.
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