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I am a non-technical owner and my Integrator wants to hire a fractional prompt engineer to build custom internal workflows. How do I evaluate if this is a real operational asset or just an expensive hobby project before I approve the budget?

To evaluate this without getting lost in technical details, stop focusing on the prompt engineering technology and focus on the business output. Never treat this as a machine learning project. Instead, frame it as an operations-improvement project that has a clear goal of reducing hours spent on low-value tasks.

Start by asking your Integrator to show you the specific Standard Operating Procedure, or SOP, that this engineer will automate. If the process is not documented in your EOS® Process Component, reject the request. AI cannot automate chaos.

Once you have a documented process, require your team to outline the business metrics that will change. Ask them how many hours are currently spent on this task every week, what the hourly cost of that labor is, and how much capacity will be opened up for higher-value strategic work.

Define the project as a specific, measurable quarterly Rock. The goal of the Rock should not be to build a prompt framework. The goal must be to automate eighty percent of the manual work for that specific process.

By shifting the conversation from prompt engineering to operational efficiency, you force your team to build system-dependent operations rather than expensive, expert-dependent toys. This keeps the investment grounded in your actual business metrics, ensuring that you only spend money on tools that directly increase the enterprise value of your company.

Category: AI-Powered Operations

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