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Management and Predictability of Compulsory Loans

Sponsor: Paula Prado
Leader: Bruna Vargas

How can we obtain scattered data related to Compulsory Loans on: instruments related to the assignment of rights and credits; bankruptcy or judicial recovery lawsuits, in which there are citations to the Compulsory Loan; verify the financial situation of the authors of the lawsuits; and monitor deposits in court?

Brief Challenge Description:


We are seeking an innovative technological solution that allows for the automatic, periodic, or on-demand retrieval of data regarding AXIA Energy Compulsory Loan.


The proposed solutions must consider the challenges inherent in searching for information dispersed nationally in registry offices, in databases of courts responsible for bankruptcies and judicial reorganizations, in databases of banks and credit protection agencies, ensuring information security and integration with AXIA Energy reference data architecture (Google Cloud Platform). The objective is to provide relevant information to be processed by AI, enabling greater confidence, reducing risks, and increasing productivity in AXIA Energy legal strategies and procedures.


Mandatory requirements for the solution:

  • Ability to search different data sources dispersed nationwide;
  • Ability to recognize context, avoiding unwanted content;
  • Ability to perform searches periodically, on demand or triggered by triggers;
  • Communication via API: Fluid communication with existing systems, such as Big Query, SIP (proprietary) and ERPs (Benner, SAP).

Business Impacts:

The solution will provide financial and qualitative benefits, due to the increased amount of information available and the reliability of its content, enabling the continuous updating of a single source of truth (datalake) for the correlation of data related to the Compulsory Loan, allowing for more appropriate management Classificação: Pública of stakeholders and the monitoring of amounts currently deposited in court. Specifically:

  • Increased reliability in databases by adding a layer of administrative information to judicial information from Federal courts and a layer related to other proceedings in which AXIA Energy is not cited as a party, but which are related to the Compulsory Loan;
  • Reduction of risks in the relationship with interested parties, enabling the proper identification of the real creditors and the installments to which they are entitled, avoiding the possibility of duplicate payments;
  • Identification of the financial situation of these creditors, in order to enable decision-making regarding the legal and/or administrative strategy;
  • Monitoring of court-ordered deposits in order to expedite the recovery of funds for AXIA Energy, in relevant cases, avoiding costly and inefficient contracts;
  • Reduction of dedicated ad hoc HH.

Expected Benefits:

  • Timely recovery of amounts deposited in court;
  • Expansion of the layers of information pertinent to decision-making;
  • Reduction or termination of existing contracts;
  • Reduction in operational costs.


Deadline: Proposal submission form will be available until 02/02/2025


Questions: For any questions or additional information, please send an email with the subject line identifying the title of this challenge to innovationgrid@eletrobras.com

Legal | Compulsory Loan | Dispersed Data Collection | Automation | Integrations