Adaptive Governance in Python RPA

This is a discussion topic for the original post at Adaptive Governance in Python RPA - BotCity | Python RPA | Blog

:white_check_mark: RPA initiatives rapidly scale to complex scenarios involving critical processes and different teams/business units.

✅ To meet the challenges of scaling up RPA operations, technology leaders are beginning to look for alternatives in open technologies, both for license savings and for technical performance and scalability issues.

✅ It is paramount for RPA leaders to rely on solutions and guidelines to achieve governance over automation and shadow IT while maintaining agile delivery.

✅ According to Gartner, governance should be adaptive, not a one-size-fits-all model for all projects:

➡ In some projects, favoring a more centralized model to protect against risks makes sense.

➡ ️In other projects, it may be critical to create mechanisms that enable autonomy in favor of favoring agility, scale, adaptability, and innovation.

📌 Many companies still have homogeneous governance processes for any type of project, which can cause misalignment with the business and delay strategic deliverables.

✅ Adaptive governance, advocated by Gartner, consists of establishing flexible and agile decision-making processes according to the project’s business context, capable of meeting the different needs of the teams involved:

➡ ️Development: speed up deliveries, apply best practices, reuse components;

➡ ️Operation/Support: anticipate problems and solve occurrences with agility;

➡ ️Security: apply appropriate security mechanisms for each context;

➡ ️Business: reduce time-to-market, maintain alignment with strategy, and maximize business value;

✅ Implementing Adaptive Governance is an evolutionary, gradual process. Leaders need flexible tools that enable advanced management/orchestration of automations.

💡To support this process, we offer BotCity Maestro, a universal orchestrator for code automations that can be created in any framework. The platform features a free community plan and features such as:

→ Open APIs to integrate the orchestrator with any solution and technology;
→ Customizable dashboards;
→ Alerts via different channels and full logs;
→ Deploys, credentials, and versioning management;
→ Scheduling and chaining triggers;
→ Execution queue control, among other features;

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