Intelligent Automations for the Public Sector
How can Python automations optimize public sector operations?
Document Processing Automation
The public sector deals with a large volume of documents, such as bids, administrative processes, and citizen requests. With Python, it is possible to automate the extraction and validation of information, reducing the need for manual data entry and saving time. Embracom, a financial services company, saves R$ 1 million per year and reduces 12,000 hours of work with Python-based intelligent automation and BotCity's Governance. See the full case.
Data Monitoring and Transparency
Public data analysis can be enhanced with automations that collect, structure, and generate reports automatically. Python allows the creation of scripts that monitor information in real time, facilitating audits and ensuring greater transparency in public management. Sicoob achieved 100% accuracy by eliminating human errors with Python-based Intelligent Automation and the BotCity platform. See the Case.
Citizen Service Automation
Using chatbots and virtual assistants developed with Python and AI, public agencies can offer automated services to answer questions, direct requests, and provide basic services without human intervention. This reduces the workload on staff, improves citizen experience, and makes public services more accessible and agile.
Benefits of BotCity Centralized Governance in Intelligent Automations in Python for the Public Sector
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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"Adopting Python for our operations was intended to give us greater freedom in advanced research. Python’s extensive libraries, particularly those focused on artificial intelligence, offer capabilities that are more challenging to achieve with other tools.”
Luis Arantes Filho
DX Coordinator at LG Electronics
The low-code platform no longer met our needs. We lacked flexibility and couldn’t surpass a certain performance threshold.
Carlos Alexandre
Product Owner at Havan Labs
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