To address this scenario, MadeinWeb structured a contract automation solution supported by AWS managed services, organizing the scope into five main fronts:
The proposed architecture consolidated into a unified flow stages that were previously executed in a fragmented way. Data ingestion and centralization are handled through Amazon S3, which acts as a Data Lake, receiving information from multiple corporate sources and external systems (anonymized), including ERPs, internal platforms, and government APIs. Data orchestration and preparation are handled by AWS Glue, responsible for extracting, transforming, and standardizing the information.
In the analytical layer, Amazon Redshift is used for large-scale processing, enabling efficient queries and the application of fiscal and contractual rules. Complementary processing and execution of specific logic — such as registration validations and integrations with external services — are supported by Amazon EC2 instances, ensuring computational flexibility.
From this structured base, the system automatically performs registration and tax status checks, defines contractual parameters, and generates documents in a standardized and digital format. This model significantly reduces manual interventions, increasing the consistency, speed, and reliability of the process, regardless of the data sources involved.
The solution also incorporates a robust governance and observability layer through Amazon CloudWatch, which enables monitoring of executions, log recording, failure identification, and real-time alerting. Errors are categorized and automatically routed to those responsible, increasing traceability and efficiency in handling operational deviations.
In development, the journey was structured into clear stages: data ingestion from multiple sources, validation by the fiscal and supply areas, implementation of the contract generation logic, automation of the digital signature flow, and integrated testing. The final architecture demonstrates strong integration between users, corporate systems, and AWS services, forming a scalable, governed, and highly automated ecosystem.
In addition, the scope of the project goes beyond the initial delivery, incorporating a robust managed services model. This includes 24/7 support, proactive monitoring, and continuous operation of the environment. Through squads dedicated to the constant evolution of the solution, continuous improvement of the environment is ensured, guaranteeing an active, optimized, and sustainable life cycle even after the development phase.