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Every agent Uplift builds is about 95% code and 5% AI. Code takes every step that has one right answer; AI gets only the steps that need judgment. This short explainer shows why that split matters, with one everyday job: a supplier emails to say a delivery will be late. Two teams automate it, one with rules and one with an agent. The difference is not rules versus AI. It is when the thinking happens.</video:description>
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Finance teams have moved fast on AI for accounting: it reads invoices, drafts journal entries, and matches records well. But adoption has stalled, and the reason isn't the model. It's that a bought AI tool can draft and get a click approved, with nothing recording who approved it or what the AI actually saw. Six months later, when an auditor asks about that entry, someone is rebuilding the trail from screenshots and memory. This film walks through the same audit request handled two ways, and why the agent that keeps running is the one that records every approval as the work happens, not after.</video:description>
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