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Can you distinguish between AI that adds value vs just feel-good automation? You've taken a product trial, how do you know the AI tool you're using is actually going to add value? Here’s what to look for: 1. Take full advantage of your sign-up period Effective AI: Precision and Reliability Ask your team how they use it, setup time, and when they started seeing value. Are the benefits real or just on paper? For example, Sybill customers who switch from other similar tools mostly find value in the accuracy of their summaries and CRM updates without human intervention. 2. Sign of Feel-Good Automation: Limited Impact Simplifies tasks but lacks accuracy and scalability. Example: Simple task automation may not boost productivity significantly. 3. Discuss product differentiation with your vendor/provider. It's easy to claim differences, but verify with specific reasons. If features clash with competitors, ask for distinct technological differences. 4. Orchestration vs. Automation Automation does single tasks. Orchestration connects many automated tasks into one smooth process. Instead of using multiple tools for different functions, prefer one tool can do the job better. Orchestration makes complex tasks simpler, reduces mistakes, and improves efficiency. 5. Employees’ experience, Business Value, and ROI At the end of the trial, ask your team about their experience. Did they manage to focus more on creative and important work? This is the primary goal of using AI—improving efficiency to achieve better returns on investment. And well, keep an eye if it's taking you six hours to just set-up the tool! 😭 🙄

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