Practical answers on AI strategy
Short, direct guides to the questions leadership teams ask before investing in AI.
How to build an AI strategy for a mid-size company
Start from business goals, not from models. Score use cases on value and feasibility, check your data, set guardrails, and fund the roadmap in stages so each step earns the next.
RAG vs fine-tuning: which should you choose?
Choose RAG when the model needs your knowledge, especially knowledge that changes. Choose fine-tuning when it needs a new behaviour, format or tone. Start with RAG and good prompts; fine-tune only when evaluation shows you need it.
Why AI pilots stall, and how to get them into production
Pilots stall when nobody defined success, the data and integrations were faked for the demo, there is no way to measure quality, and nobody owns the system after launch. Fix those four things and most pilots can ship.
Voice AI agents for business: what they can do and what to plan for
Voice agents can now handle routine calls such as bookings, intake, order status and FAQs end to end. Success depends on latency, interruption handling, integration with your systems, and a clean hand-off to people.
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