AI strategy & implementation
Practical guides to ai strategy & implementation. Five focused articles to help you choose, plan and improve your next project.
How to choose your first AI use case
Choose a first AI project with a practical scoring method that weighs business value, data readiness, review effort and the consequences of mistakes.
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How to evaluate an AI pilot before you scale it
Build an AI pilot evaluation that tests real work, costly errors and review time, so a promising demonstration becomes a defensible business decision.
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Is your business knowledge ready for an AI assistant?
Prepare business knowledge for retrieval-based AI with clear document ownership, permissions, version control and tests for missing or conflicting answers.
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Design human review that actually improves AI workflows
Build human review around meaningful decisions, clear escalation rules and useful evidence, rather than adding an approval button to every AI output.
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From AI pilot to everyday business operations
Move an AI pilot into daily operations with clear ownership, monitoring, change control and fallback routes before expanding its reach or permissions.
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