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Technical Review and Continuous Development

For the Centre of Excellence to be fully capable of rolling out the first Artificial Intelligence (AI) and Conversational Automation (CA) solutions and become independent in the continuous development and deployment of new automations, it’s important obviously to establish the technical infrastructure required to be able to handle future automation needs.

The key to this is to carry out a review the existing RPA infrastructure and based on that, set up the additional infrastructure required for the implementation of AI and CA solutions, thereby enabling the CoE to increase the impact of automation beyond rules-based tasks to take ‘the robot out of the human’ and unlock their human potential by developing and integrating the best of AI and RPA technology to create virtual assistants – in other words, a Digital Workforce.

With the infrastructure in place, the CoE team can deliver and go live with the first AI-based & CA-based automation projects, ideally in 2- to 4-week sprints with support from Ciphix, and that way create the foundations of a platform for the continuous development and deployment of automations in the long term, both when it comes to the ongoing implementations of new automations as well as the continuous improvement of existing ones.

We recommend that the best way to achieve this is to implement a CI/CD way-of-working. CI and CD stand for Continuous Integration and Continuous Delivery/Continuous Deployment. Simply put, CI is a modern software development practice in which incremental changes are made frequently and reliably. These changes are then delivered quickly and seamlessly as a part of the CD process.

CI/CD allows organizations to launch software quickly and efficiently and facilitates an effective process for getting products to market faster than ever before. In this case we’re talking about automation robots, not software products, but the practice remains the same within the context of the DWJ. Using this methodology, the CoE can continuously deliver changes and improvements into the robot production, and ensure an ongoing flow of new features and bug fixes via the most efficient delivery method.

So now the CoE has graduated, to reuse an analogy from a previous post, and is fully capable of scaling automations as well creating new ones, leveraging the best that new technologies like AI and CA have to offer. However, as we will see in the next post, creating the automation story and communicating it effectively across the entire organisation, is an equally important part of this phase of the Digital Workforce Journey.

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