What makes us thrilled about it
We share a universal desire for productivity and efficiency in our daily work, leaving room for innovation and creativity. Our belief is that automation should be universally accessible, transcending the boundary of technical expertise.
A solution that is built for every software, application and operation that exists in processes and tasks on a knowledge worker’s device.
Not taking it upon oneself, the up-skilling and doing, but rather having a solution that takes over all the work and still can be steered with natural language.
RPA and Business Process Automation are broken and niche
90% of recurrent business processes remain unautomated. The prevailing solutions merely scratch the surface, focusing on explicitly defined, standardized, and static processes.
Exception-heavy, undocumented, and highly individualized processes and tasks remain untouched. Current solutions struggle due to three key constraints:
- Solutions are costly and time-consuming to set up
- They need long until they add value as they try to build a 100% compliant end-2-end automation
- Complexity hinders widespread use and limits accessibility to the tech-savvy
Bridging the Gap with AI
To democratize business process automation truly, solutions must embody these attributes:
Assume all functions traditionally assigned to a team of automation experts, e.g.,
- Identify appropriate use cases
- Define requirements for automation
- Write and validate code
- Deploy workable automation software
Uphold user autonomy through Hybrid-Intelligence
- Allow knowledge workers to stay in their known environment (no separate studio)
- Intuitive interaction in natural language and fluent conversations
Function in unknown environments (with proprietary or highly customized applications)
- Forgo the need for deep integration, instead operating with the user's existing rights
- Eliminate the necessity for predefined selectors and RPA drivers
These need a universally relevant solution to automate truly any process across any system. The alternative to this is hiring legions of engineers for manual work which disregards turnaround time. AI is the key to solving these issues.
automaited - Reimagining the Paradigm
User works as always (no separate studio)
AI analyzes process data and predicts the next steps
AI builds executable automation on the spot
The user executes the process automation with the click of a button
AI and users can maintain or update automation
What it takes to get there
Process prediction: Recognize patterns in order to predict process steps relevant for automation
Context collection: Gather necessary information that is not immediately visible in system data and react dynamically to automation needs (maintenance and enhancement)
Automation software creation: Combine system patterns and the provided context to rapidly create instantly available, executable software
System interaction: Function in any environment, regardless of proprietary, unknown, or highly customized systems
Process Step Prediction (with simple automations)
The challenge in process automation is the identification of the correct process. A common query is: What does it work for? We are reversing this dialogue by allowing our tools to recommend suitable processes for automation.
Our tool commences with process prediction, allowing for users to remain engaged in their work while the AI identifies processes suitable for automation. Complex procedures can be deconstructed into manageable fragments, speedily providing automation and prediction.
Our AI recognizes repetitive steps within processes and predicts their occurrence, offering immediate automation software solutions. These form a subset of a larger process.
In this example you see how our AI recognizes repetitive process steps, predicts where/when they happen and provides an automation software to take these over.
Free up time and increase the productivity of your team by using Al from automaited. Learn More
Putting conversational Al to work, automaited enables users to automate any given desktop task with - just a chat!
Collecting Context: In the Creation, Enhancement, or Maintenance of Automations
Automation often requires more than simply system data. It relies on business logic, formatting, exception handling, rule understanding, and default values - often living in the domain of the worker's experience.
A user-friendly interface, such as a chat function, streamlines interaction. The Automaited assistant exists in the user's workspace, engaging in natural language. There are two key benefits:
1. AI gathers missing pieces of information: if a process description is not 100% clear our AI will ask questions to collect the missing pieces
2. Users can tailor and enhance automations: the user can modify automations before they are released or enhance automation over time
Automation Software Creation
Building instant, executable software is crucial. Using system data and collected context, automation AI constructs functional automations.
In a pre-step, users can also trigger this manually. In case the user does not want to wait for the AI to pick up a process, the user (or expert) can actively explain the process to be automated to the automaited assistant.
In this demo, you see several features:
- A fluent chat conversation alongside the showcasing of the process is turned into an executable automation by the AI
- The user does not need to wait for the AI’s reply but just continues to work and communicate
- The AI is asking questions to gather as much context as possible
- Before the automation is built the AI returns a process description to ensure 100% compliance to the requirements
- The automations are fully reactive the data changes in the UI
- Enhancing and updating of automations is possible on the fly and allows the user to include more complexity and edge cases over time
A key requirement is the ability to interface with potential UI elements across systems. Our solution troubleshoots any systems and interfaces without pre-existing knowledge, freeing us from reliance on engineers defining selectors or coding RPA drivers.
In this simulation, the AI seeks more information for automation creation. The user doesn't provide it, and the AI creates an automation based on incomplete information and perfects the functionality during deployment.
Similarly, our tool can self-correct automation errors and request context and assistance from the user.
Watch our latest webinar, where our Co-Founder and CEO, walks you through the impact of AI in process automation.Learn more
First look at automaited
The automaited assistant can take over the job of creating customized outreach emails based on LinkedIn (or any other kind of information).
Another example is the extraction of data from any kind of source to any system of the users choosing. Even only extracting relevant data points from a long e.g., email is easily possible.
The excitement stems from the potential these systems have to revolutionize the way people interact with computers. We aim to establish a company that provides assistance to every knowledge worker, regardless of their tech-savviness. With time, we anticipate significant enhancements to our model and assistant, enabling them to handle increasingly complex scenarios.
What we've showcased above is merely the tip of the iceberg. We're making impressive strides towards perfecting automation for performing tedious and repetitive tasks on a computer. Our aspirations are high for both the immediate and distant future, and we're in the process of recruiting visionaries and skilled professionals across various roles to actualize this vision - interested parties can apply here.