Regulatory Automation – Improve Productivity, Save Costs

Forget about manually logging into different systems or building and maintaining custom interfaces. You only need to focus on what you want to achieve. Simply create or import your workflows/rules and start building and deploying automated jobs. You can use parameterization, templates, conditionals and functions to deal with any of your daily jobs. Then save & share them with others and schedule jobs of all your process configs to keep control of what changes in production. This powerful engine alone will solve most of your daily automation needs. It serves as the foundation for other solutions provided in the platform.

Cross-application workflow is the core component of REGai automation and provides the foundation for the rest of the building blocks. This allows REGai to move, add, change, and delete for multiple applications in one go – removing the need to re-enter the same information several times to provide phone numbers, voicemail, meeting applications, etc. Cross-application workflow can dramatically reduce the time it takes your teams to carry out mundane tasks from minutes to seconds.

Now let’s go one step further and truly boost your automation capabilities. Imagine you can automatically build jobs and configurations by combining different data sources with this runtime engine. You can use data from the internal database, your production systems or from external sources (via the API). First, the integrated, object-based REGai database lets you store any kind of information specific to your business function in a relational and vendor agnostic way. And then use them seamlessly with the REGai internal engine and smart templates to generate data-driven jobs and configurations. Simply create and modify services by updating the database and generate configs & jobs that you want provisioned to your network with just a single mouse click or API call. Second, imagine you can simply retrieve state information from your systems and use it dynamically in your jobs. This is what ‘command parsing’ scenarios are all about. It lets you send show commands to your applications and parse the requested information. The results can either be stored in the REGai database or used in real-time as input for your data-driven jobs. It gets even better when you learn more about ‘scenarios’.

By now you have the ability to generate and deploy data-driven jobs and configs to any of your applications. This is extremely powerful, but it does not solve the risk of spinning out of control when you allow ‘random’ design choices during implementation. This is the major factor causing systems to become inflexible, unstable and unnecessarily difficult to automate. In order to maximize your potential benefits, this needs to be resolved. Therefore, you want to be able to model and standardize your network services and changes. And enforce your design rules into every job, configuration and process you build. And all without losing any flexibility as described before. This is what ‘design modelling’ is all about. It allows you to build your own automation design and service models that can generate standardized (blueprinted) services, jobs and configurations and robotize your changes. Now you only need to ensure that these jobs get deployed without interfering with any existing service in your tools. This is done by using command parsing. Real-time state information is then validated at runtime to guarantee that existing services aren’t overwritten.

Multi-vendor support expands on the initial cross-application workflow stage to incorporate REGai platform from more than one provider. Many businesses will not need this because they’ve standardized with one supplier. There will also be some businesses that have adopted a cloud-based product to run alongside. These building blocks are extremely powerful and can be used standalone, but the true power lies in combining them. You can build any automation solution you want as the possibilities are endless.