Intelligent Automations for Utilities Organizations
How can Python automations optimize utility operations?
Efficiency with Technological Freedom
Low-code automation tools often impose expensive licenses, scalability limitations, and low technical flexibility, restricting companies' agility and adaptability. By adopting Python RPA alongside BotCity's Centralized Governance, PRIO, which produces over 100,000 barrels of oil per day, eliminated these constraints and now saves more than 800 hours of work monthly. Check out the Case!
Efficiency in Fiscal Process Management
Utility companies receive thousands of monthly invoices (electricity for substations, water, fuel, etc.). Automating the reading, validation, and posting of these invoices in the ERP using Python allows for reduced manual errors, increased agility, and savings of hundreds of work hours monthly. Prio managed to reduce 72% of pending fiscal processes in less than 60 days.
Failure Monitoring and Reduction
With Python, it is possible to automate and continuously monitor critical systems, detect failures or interruptions, and program automatic responses with much shorter response times, less impact on services, and greater operational reliability—all with end-to-end Centralized Governance like the BotCity platform.
Continuous Compliance and KPI Monitoring
Python provides libraries that enable automated data validation and KPI monitoring, ensuring adherence to regulations and facilitating audits. Orchestration tools like BotCity Maestro allow centralized management of automation bots, offering detailed logs and real-time alerts.
Benefits of BotCity Centralized Governance in Intelligent Python Automations for Utilities
Flexibility and Elimination of Lock-in:
With Python and BotCity, your company eliminates the risk of vendor lock-in, allowing integration with any system, without being tied to low-code tool licensing contracts.
Operational Scalability without Increasing Costs:
Using Python and open technologies, your IT team can scale operations without increasing costs by leveraging a vast ecosystem of libraries and services.
Advanced Software Engineering Practices:
With Python automation, your team can adopt advanced software engineering practices such as code management and CI/CD. This facilitates the reuse of solutions, ensures compliance with industry standards, and accelerates quality development.
Centralized Governance at Enterprise Level:
BotCity Orchestrator provides a robust platform to centrally manage, monitor, and scale automations, with advanced features like execution scheduling, version control, real-time log viewing, and custom alerts.
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Automations need to evolve and adapt, and when you can’t transfer and improve robots according to the business needs, it limits the advancement of the solutions we deliver.
Wescley Fernandes
IT Manager at PRIO
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