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7 Ways Companies Are Using AI Chatbots Wrong

Most enterprises rush into AI and make costly mistakes. Learn 7 common pitfalls—from untested prompts to isolated tools—and how PromptOwl helps organizations adopt AI strategically, securely, and at scale.

7 Ways Companies Are Using AI Chatbots Wrong

Enterprises are rushing to adopt AI, but in the haste to become AI-savvy, they often overlook critical opportunities for success.

Are you making these mistakes?

Mistake 1: Guesswork-Driven Prompt Creation

Many people create AI prompts ad-hoc. This is the dream—that AI inherently ‘knows’ what they need. Unfortunately, that is a giant misconception, without some work. While some AI Chatbots like Gemini are getting better at remembering you, this is largely a dream. And they certainly can’t inherently understand the nuances of your entire organization, which means guaranteed inconsistent results across your teams.

Priming the AI Chatbot to have a standardized context is key to getting consistent and effective results. Most companies have yet to employ a systematic way to build and optimize prompts for desired outcomes.

Solution 1: Use a Prompt Engineering Tool to Prime Your Prompts

PromptOwl provides robust Prompt Engineering Tools that help you iterate quickly, experiment with different phrasing, and ultimately optimize your prompts to get the best responses from AI models.

What’s great is you can add whatever context into the prompt window, and share it so anyone can use it. This is how you ‘prime’ your prompts, ensuring everyone in your company uses the same, effective prompt.

For instance, we started transcribing our All Hands meetings where we talk strategy, update engineering developments, discuss messaging, customers, and issues. By plunking them into a data room, adding that folder to the prompt and sharing the prompt with the whole PromptOwl organization, we can all chat with our organizational knowledge, and get consistent results.