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Auto-Test AI Agents with Kognitos’ HAL Platform

Auto-Test AI Agents with Kognitos’ HAL Platform

Agentic process automation is quickly becoming reality, and businesses are actively pursuing applications in high value use cases in order to stay competitive. Testing workflows for reliability across multiple scenarios—not to mention accounting for edge cases—can be time-consuming and expensive. 

Kognitos has introduced a feature within the HAL platform that is a game-changer for automation as we know it. Auto-test, a stage within the hyperautomation lifecycle, is designed to automatically simulate various scenarios and edge cases to ensure the automation will perform as expected, simplifying and accelerating the process of creating autonomous automation workflows.

What is Kognitos’ HAL Platform?

Kognitos’ HAL (hyperautomation lifecycle) platform is an end-to-end agentic process automation solution that automates every stage of the automation lifecycle into one seamless system, eliminating the need for prolonged implementations and taxing upkeep. HAL combines cutting-edge generative AI with deterministic logic to create AI agents capable of automating even the most complex processes. 

Its five core stages empower organizations to automate any process without bots, specialists, coding expertise, or extensive infrastructure. The five steps of the hyperautomation lifecycle are:

  • Auto-write
  • Auto-test
  • Auto-deploy
  • Auto-monitor
  • Auto-debug

This blog dives deeper into HAL’s auto-test stage.

How Does Auto-Test Work?

As automations progress through the hyperautomation lifecycle, AI agents continuously optimize workflows as needed. Auto-test in HAL is akin to regression testing in the traditional software development lifecycle. As changes are automatically applied to an automation, auto-test validates that workflows will continue to function reliably under any conditions, particularly after significant updates to an automation already in production. Here’s how it works:

Automatically Simulate Various Scenarios

After code changes or updates during HAL’s auto-write or auto-debug stages, auto-test will generate and run simulations for a multitude of scenarios, including edge cases. This ensures that automations can grow to be fully autonomous where desired, while continuing to perform as expected under different conditions without manual intervention. 

Let’s explore an example. A user might automate 1,000 runs a day processing insurance claims. When HAL meets an exception, a business user reviews and applies a learning to that specific run using the auto-debug and auto-write features. Because the automation has now changed substantially, HAL automatically reviews similar runs before applying that learning to all future runs. Let’s imagine that HAL chooses, say, 200 previous cases to auto-test. The results validate that the expected outputs are produced with the updated automation in place, and that it can be applied to all future runs.

Test Without Coding

Any HAL business user can initiate and review tests. The interface displays test results in plain English, so automations are accurate and reliable without the need for technical coding expertise. Within the test suite, HAL shows an easy visual comparison for automation outputs following a change. When outputs are validated against expected results, the run is color-coded green to make it easy to read at a glance.

Screenshot of Kognitos' HAL Auto-Test suite

Save Time with Kognitos

In contrast to the hours or days spent regression testing legacy robotic process automation (RPA), Kognitos can auto-test workflows in minutes. As AI agents progress through the hyperautomation lifecycle—auto-writing and auto-debugging automations—auto-test serves as a litmus test before applying similar changes to all future runs. It finds use cases for previous runs and tests them, for example, 200 times to validate the updated automation. If there are unexpected outputs, a business user can quickly validate and make adjustments based on the test results, then instantly run the simulations again. 

Manual testing is labor-intensive and prone to human error. But beyond that, AI systems have been known to hallucinate from time to time. Auto-test addresses each of these concerns in turn. Not only has your business saved significant time and resources, but this process also verifies the integrity of the results. Kognitos’ HAL platform is revolutionizing how businesses approach automation by making it faster, simpler, and more reliable. 

If you’d like to learn more about Kognitos’ HAL, reach out to a member of our team or sign up for free community trial access today.

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  • 75%manual data entry eliminated
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