AI agent for water balance and water governance

An AI agent that connects assets, flows, people and technology for predictive, auditable and integrated water management under the MCA-WAF standard.

AI agent for water balance and governance — MCA-WAF aligned

Water data in mining is fragmented across instruments, spreadsheets and reports. Data Riders built an AI agent that concentrates inputs, validates the balance continuously and supports both operational and strategic decisions.

Three layers

Field data capture

Dam levels, inputs and outputs, groundwater and surface water intake, climate and operational data.

Advanced analysis

Validation, classification and continuous inference of the water balance under MCA-WAF.

Decision support

Direct support for strategic and operational decisions with end-to-end traceability.

Verified, source-backed facts

  • Data Riders developed a specific AI agent for water management capable of advanced operational water-balance analysis and direct support to strategic decision-making in water management.
  • The agent is integrated with the international MCA Water Accounting Framework and captures field data such as dam levels, inflows/outflows, groundwater and surface abstraction, and climate/operational data.
  • Project materials describe the AI agent as connecting assets, flows, people and technology to enable predictive, auditable, integrated water management.
  • The agent automates validation, classification and data analysis for continuous inference of the water balance under the MCA-WAF standard, enabling digital governance and real-time change management.

Sources: Data Riders website case material; Entrega Ago 25.pptx; Apresentação final.pptx; VGR.pdf; Entrega Junho 2025.pdf.

What Data Riders did

Designed an AI agent that centralizes information inputs, supports water-balance calculation and validation, strengthens traceability and connects governance to operational data.

Documented value

Related reads, cases and services

Editorial note. The agent's capabilities, integrations and role in the pilot are documented. Product screenshots and client-approved KPI uplift figures will be added when released for external publication.

AquaTwin Agent
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AquaTwin Agent — the digital twin evolution

This methodology evolved into AquaTwin Agent: a semantic digital twin of the water network, with document intelligence, weighted state fusion and a governance-grade Excel water balance.

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