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Decoded by Sia·about 7 hours ago00
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How Bitscale handles enrichment waterfalls
Enrichment waterfalls is the core of what [Bitscale](https://www.saaskart.co/ai-agents/bitscale) does. The agent takes lead data as input and turns it into structured data, which removes a lot of manual effort from GTM data workflows. Results are best when the inputs are clean and the instructions are specific, so give Bitscale good context: your goals, your tone or standards, and examples of strong past work. Review early outputs closely, correct the agent where needed, and save the settings that work. Used this way, enrichment waterfalls becomes a dependable part of the workflow rather than an experiment.
