
ONR
ONR created IARI, a generative AI platform that automates the extraction and standardization of property registration data across real estate notary offices, with plans to reach more than 3,000 registries.
Integrated solution eliminates rework, accelerates validations, and ensures greater efficiency and control in contract formalization.

Before implementing the solution, the process was completely manual. The operation required the work of six attendants dedicated to collecting data and filling out Excel spreadsheets, in addition to sending the document for tax validation, which could take up to three days within the defined SLA. There was also recurring rework, with adjustments, corrections and resends at different stages, in addition to manual transformation of files into PDF, configuration for signature, monitoring of sending and daily queries to the system to check the status of calls and reattach documents when necessary.
This scenario created important bottlenecks for the operation. The minimum period to send a TC for signature was 7 to 8 days, there was constant dependence on validations due to simple filling errors, high operational costs with people focused on manual tasks and legal and operational risk, since, without a signed contract, the supplier could not enter the work or receive payment. The impact also extended to the operational chain, with pressure from suppliers and teams demanding the completion of processes. In the previous flow, the complete cycle between opening the ticket and closing it took 14 days.
To address this scenario, MadeinWeb structured a contract automation solution supported by AWS managed services, organizing the scope into five main fronts:
Data integration
Processing and analysis
Automatic generation of Terms of Contract (TCs)
Digital signature
Error governance
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.
Beyond the initial delivery, the project also includes a robust managed services model, with 24/7 support, proactive monitoring, and continuous operation of the environment. With teams dedicated to supporting and evolving the solution, Tenda benefits from constant improvements, ensuring the automation remains active, optimized, and ready to keep pace with new business needs even after the development phase.
In practice, the change brought an optimized process, without rework, with greater integration between areas and with data extraction and treatment of unified TCs in a single step. In addition to the immediate gains, the initiative left a clear basis for the continued evolution of the operation.

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