3 Reasons why its hard to automate processes with AI

Patrick Mueller
CEO & Co-Founder
Table of contents
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We're witnessing unprecedented advancements in Artificial Intelligence (AI). Many industries have hopped on the AI bandwagon, leveraging its power to improve efficiency and optimize their processes. However, despite its numerous benefits, successfully automating various workflows using AI can indeed be challenging. 🏋️♂️

Why automating process with AI can seem tough:

🔐 Proprietary Data

One of the most significant hurdles companies face while implementing an AI-based process automation solution is limited access to proprietary data. For an AI model to work seamlessly, it requires vast amounts of accurate, meaningful data from which it can learn and make predictions. However, obtaining this data is a challenge. The data only exists on company computers or in the brains of process experts.

🤖 Creating Automation on the Fly

Another factor that makes automating processes with AI difficult is the need to generate on-the-fly automation solutions. Most other tools provide predefined solutions (e.g., "write an email" workflow) and only adept them as needed. Such an approach doesn’t work when it comes to complex business processes. Every organization has its unique set of workflows and requirements, making it essential to devise customized automation solutions adaptable to specific needs.

💻 Intuitive UX:

A crucial aspect of any successful AI automation solution is a user experience (UX) that is straightforward, user-friendly, and intuitive. Many solutions on the market are often intimidating to users or have a steep learning curve, making adoption a slow and painful process. To properly train and instruct a model with the right context a UI needs to be intuitive.

Summary

In conclusion, automating business processes with AI is no walk in the park. However, with the right approach, a data-driven and context-aware AI model, and an intuitive UX, it's possible to overcome these challenges and benefit from AI's full potential. 🚀

At automaited, our tools and AI model take this challenge head-on. Utilizing the proprietary data to create on-the-fly process automation software, while the user stays in control. ⚡

‍

Author: Patrick Müller, CEO & Co-Founder

Date: 14.06.2023

We're witnessing unprecedented advancements in Artificial Intelligence (AI). Many industries have hopped on the AI bandwagon, leveraging its power to improve efficiency and optimize their processes. However, despite its numerous benefits, successfully automating various workflows using AI can indeed be challenging. 🏋️♂️

Why automating process with AI can seem tough:

🔐 Proprietary Data

One of the most significant hurdles companies face while implementing an AI-based process automation solution is limited access to proprietary data. For an AI model to work seamlessly, it requires vast amounts of accurate, meaningful data from which it can learn and make predictions. However, obtaining this data is a challenge. The data only exists on company computers or in the brains of process experts.

🤖 Creating Automation on the Fly

Another factor that makes automating processes with AI difficult is the need to generate on-the-fly automation solutions. Most other tools provide predefined solutions (e.g., "write an email" workflow) and only adept them as needed. Such an approach doesn’t work when it comes to complex business processes. Every organization has its unique set of workflows and requirements, making it essential to devise customized automation solutions adaptable to specific needs.

💻 Intuitive UX:

A crucial aspect of any successful AI automation solution is a user experience (UX) that is straightforward, user-friendly, and intuitive. Many solutions on the market are often intimidating to users or have a steep learning curve, making adoption a slow and painful process. To properly train and instruct a model with the right context a UI needs to be intuitive.

Summary

In conclusion, automating business processes with AI is no walk in the park. However, with the right approach, a data-driven and context-aware AI model, and an intuitive UX, it's possible to overcome these challenges and benefit from AI's full potential. 🚀

At automaited, our tools and AI model take this challenge head-on. Utilizing the proprietary data to create on-the-fly process automation software, while the user stays in control. ⚡

‍

Author: Patrick Müller, CEO & Co-Founder

Date: 14.06.2023

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