EnergyFinanceOperations

How Axia Energia Eliminated 90% of Manual Audit Work with Automation Anywhere AI

Axia Energia, a Brazilian energy company processing 65,000+ audit documents per year, deployed Automation Anywhere’s Automation 360, Document Automation, and AI Agents powered by Google Gemini on Vertex AI to automate its compliance and audit workflows. The result: 90% of manual effort eliminated, $265K in annual savings, and 10,000 hours reclaimed yearly.

Outcomes

90%Manual effort eliminated in audit workflows
$265KAnnual cost savings
10,000 hoursHours reclaimed annually

Tools & Technologies

1GG
Google Gemini
Google multimodal AI model family
2AA
Automation Anywhere
RPA platform by Automation Anywhere that automates repetitive business processes using AI-powered bots.
3AA
Automation Anywhere Document Automation
Intelligent document processing tool that extracts and classifies structured data from unstructured documents.
4GV
Google Vertex AI
Google Cloud unified ML platform for building, deploying, and scaling AI models and generative AI applications.

AI Categories

Challenge

Axia Energia’s compliance teams manually processed 65,000+ audit documents per year, creating bottlenecks, high error rates, and significant operational costs that limited the team’s capacity for higher-value regulatory work.

Solution

Automation Anywhere Automation 360, Document Automation, and AI Agents—powered by Google Gemini on Vertex AI—were deployed to extract, classify, and validate audit documents end-to-end, automating 90% of manual compliance processing and delivering $265K in annual savings.

Full Story

Axia Energia operates in Brazil’s tightly regulated energy sector, where compliance teams must process tens of thousands of audit and regulatory documents each year. Before automation, these workflows were largely manual—staff spent significant time extracting data, validating entries, and reconciling records across systems, leaving the organization exposed to compliance risk and operational inefficiency.

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Source

AUTOMATIONANYWHERE
May 2026
Original case study

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