Unleashing the Power of AI: A DeepDive into the Automaited Tech

Artificial Intelligence (AI) continues to transform the way we work. 

Even with AI, Automation is perceived as a complex domain due to a high level of individualisation leading to complexity.  But what if AI could make this process automation accessible, by understanding user context and automating tasks based on it? This is what we do. automaited leverages AI to make the creation of automations intuitive.

Dive into the unique automaited AI 

How does an AI get so good?

Artificial Intelligence aims at mimicking human behaviour with technology.

A recent great example is Chat-GPT from OpenAI. Chat-GPT is replying to questions or instructions like an omniscient human being. These models have become so good that it is hard to tell the difference between a human and a machine.

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Developing powerful AI models involves three critical steps:

1. Training the Model

The AI model must be trained with appropriate data sets to enhance its learning and understanding capabilities. This step ensures optimal performance in interpreting inputs and generating meaningful outputs. In the case of Chat-GPT a lot of text from the internet.

2. Instructing the Model

Strategic instructions are necessary for accurately interpreting user inputs and refining model responses. This phase enables the model to adapt and improve its understanding of context and user requirements. E.g., giving a model extensive input-output pairs

3. Deriving Predictions

The trained and instructed model uses its knowledge to derive precise predictions, facilitating meaningful interactions. This step allows AI systems to interact efficiently with users, providing valuable insights and information.

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How does setting up an AI work for automations?

The three-step approach (train, instruct, and predict) can be similarly applied to task automation with one crucial addition. Here is how the process adapts for automations:

1. Train the Model

In this stage, the AI collects system data, enabling it to identify patterns that could be utilised later during the automation process.

2. Instructing the Model

The model now requires context on the process, along with the rules governing it. This instruction ensures that the automation model accurately understands the desired outcomes and adheres to necessary regulations.

3. Derive Predictions

Equipped with both the relevant data and contextual understanding, the model can now predict the next steps in the process based on live observations. This prediction forms the basis for efficient automation.

4. Addition - Creating an Automation

‍Unlike large language models like Chat-GPT, models designed for process automation must go a step further. They need to generate an executable piece of software to execute the predicted steps in the real-world environment, enabling seamless and efficient task automation.

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To get it right you need to overcome key challenges. You can find an overview in our blog post “Why is it Hard to Automate Processes with AI?” 

In this post we focus on a complex challenge: How to properly instruct such an automation model

Creating an automation purely based on system data will bring mediocre results as often details are not system-observable as they are in the heads of the users.
We have a solution for this!

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Our Solution: Using Natural Language to add context for great automations

automaited has created a unique solution that allows a user to combine natural language with robotic process automation. A user is able to apply natural language to add context for great automations.

In order to create or update a desired automation, the user simply chats with the AI and explains the task while working. By giving context along the process, such as rules, exceptions and expectations, the AI is able to provide a 100% compliant automation.

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Key features to create a great user experience

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Natural Dynamic Conversation Flow:

An automation is created by showing and explaining to the AI what to do. Our tech is built in a way that allows users to communicate in a natural form. There is no need to wait for answers - the user just continues to work or explain. In other solutions or even with Chat-GPT the user needs to wait for the reply after every prompt before the process can be continued.

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The user describes the need in natural language. Simply chatting with the AI...

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A dynamic conversation flow between the user and the AI

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Direct Feedback:

Whilst executing the task the user gets instant feedback on the operations observed. Therefore the user makes sure that nothing important slips through.  

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Guided Conversation:

In order to achieve 100% compliant automation, the AI asks questions and leads the way (if necessary) to collect all data required for an executable automation.

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Any Language:

The automaited AI understands any language (e.g., German). There is no need for pre-settings. In whatever language the conversation is started, the AI can follow through. (E.g. in German)

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Ensuring 100% Compliance:

Before generating the automation, the AI provides a summary of the automated process steps.

Based on this the user can finetune and adapt the automation or if everything is alright, trigger the creation of the automation. The automation will be 100% compliant with the given requirements.

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Keeping automations up to date:

The same approach will be used to update broken automations or change requirements. The user simply opens the chat and instructs the AI on the required changes.

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Ready to automate!

After collecting the required data, the automation is generated. Once tested and validated by the AI, the automation is provided in an executable format. Now the task can be executed with the click of a button.

Simply click on the created smart button (the automation prediction) to execute the automation.

The Smart Button appears next to the transferrable data.
Instead of copy and pasting that data into the predestined input field, the Smart Button does that automatically and does so for any upcoming input data.

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Why is this great value for the user?

Approaching process automation via natural conversations brings clear value to the user:

Natural Usability

• No training or tech knowledge is required 
• No separate automation studio needed - automation happens where user works
• No need to think about everything - if something is missing, the AI will ask

Speed

• No need to read instructions or do trainings, just start writing
• Full flexibility to adapt automation at any time 
• No need to think about the reach of a tool, automaited is one application for all platforms
• Created automations are directly available to other team members

ROI

• No cost for consultants or tech integration
• Fast setup time allows to automated even small tasks

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automaited is building the world’s first Artificial Process Intelligence tool that proactively automates any business process possible. We are one a mission to democratise intelligent process automations and enable employees to reach their full potential.

To find out more about where and how you can apply our automaited assistant, read through our resources or talk to us by booking a demo!

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