RPA in OSS feedback loops

This is the fifth in a series about the four styles of RPA (Robotic Process Automation) in OSS.

The fourth of those styles is as part of a closed-loop system such as the one described here. Here’s a diagram from that link:
OSS / DSS feedback loop

This is the most valuable style of RPA because it represents a learning and improving system.

Note though that RPA tools only represent the DSS (Decision Support System) component of the closed-loop so they need to be supplemented with the other components. Also note that an RPA tool can only perform the DSS role in this loop if it can accept feedback (eg via an API) and modify its output in response. The RPA tool could then perform fully automated tasks (ie machine-to-machine) or semi-automated (Decision support for humans).

Setting up this type of solution can be far more challenging than the earlier styles of RPA use, but the results are potentially the most powerful too.

Almost any OSS process could be enhanced by this closed-loop model. It’s just a case of whether the benefits justify the effort. Broad examples include assurance (network health / performance), fulfilment / activations, operations, strategy, etc.

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