Prototype to production
AI proof of concept vs. production system
Understand what must change when an impressive demonstration becomes a reliable, owned and supportable business system.
Insights
Practical guidance for AI decisions and delivery.
Founder-authored guidance on AI opportunity selection, knowledge systems, controlled automation, evaluation and production investment.
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Insights library
Four practical guides for choosing an opportunity, shaping the architecture and deciding what evidence justifies further investment.
Workflow automation
How to identify an AI workflow worth automating
Assess workflow ownership, examples, exceptions, human control and measurable baselines before investing in AI-assisted automation.
Knowledge systems
RAG versus fine-tuning: which does your business actually need?
Compare retrieval and fine-tuning by knowledge freshness, citations, permissions, behaviour, data requirements and operating complexity.
Pilot evaluation
How to evaluate an AI pilot before approving production investment
Review business value, quality, reliability, human control, security, cost, ownership and production gaps before making the next investment decision.
Next step
What should work better?
Start with the business context, desired outcome and current constraints. We will establish whether Norrelium is a sensible fit.