MicrosoftEvidence: Medium50/100

BMTax processes 5 million tax documents per minute with Microsoft Azure OpenAI in Foundry Models

BMTax is a Brazilian tax and fiscal consulting firm that was struggling with fragmented IT infrastructure and manual, knowledge-dependent processes amid major tax reforms. The company and Microsoft partner Qualiserve consolidated 45 TB of data into Microsoft Fabric in six months and built Intelligence Tax Hub, an internal platform with an Azure OpenAI in Foundry Models chatbot for natural-language data discovery and reasoning. The platform also uses Power BI and Microsoft security solutions to support analytics, governance, and sensitive-data protection.

Organization
BMTax
Industry
Finance
Location
Brazil
Published
June 2025

Reported outcomes

Productivity: +15–25%

Productivity & throughput

Tax documents processed per minute: 5,000,000 documents/minuteFiscal records analyzed: More than 2,000,000,000,000 BRL

Catalog median for productivity & throughput deployments: +40% across 100 reported metrics. Compare benchmarks →

Why do we believe this?Outcome claims, sources, and evidence checks

Normalized claim

Tax documents processed per minute: 5,000,000 documents/minute increase

Microsoft Customer StoriesJun 29, 2025Customer storyExplicit claimMedium evidence strength

It processes 5 million tax documents per minute

Normalized claim

Productivity: 15-25% increase

Microsoft Customer StoriesJun 29, 2025Customer storyExplicit claimMedium evidence strength

BMTax initially increased productivity by 15–25%

Normalized claim

Manual reconciliation inconsistencies: 20-35% decrease

Microsoft Customer StoriesJun 29, 2025Customer storyExplicit claimMedium evidence strength

reducing the number of inconsistencies that employees manually reconcile by 20–35%

Normalized claim

Fiscal records analyzed: 2,000,000,000,000 BRL increase

Microsoft Customer StoriesJun 29, 2025Customer storyExplicit claimMedium evidence strength

has analyzed more than R$2 trillion (almost USD400 billion) in fiscal records

Why do we believe this deployment?Customer identity, provider attribution, maturity, and source checks
Customer
BMTax
Provider
Microsoft
Maturity
Unknown

No explicit deployment-stage evidence found.

Customer identity supportedSource describes one deploymentMaturity evidence evaluated

Primary read

Use case focus

Showing 2 of 2

  • 1Data platform modernization
  • 2Conversational analytics
  • BMTax worked with Microsoft partner Qualiserve to build Intelligence Tax Hub on Microsoft Fabric, unifying 45 TB of data into a centralized lakehouse within six months.
  • The platform includes an internal chatbot powered by Azure OpenAI in Foundry Models to help employees discover and interact with data using natural-language retrieval and reasoning.
  • Power BI provides analytics and visualization, while Microsoft security solutions help protect sensitive, highly regulated data.
  • BMTax says it is also building specialized AI agents on top of the platform for intelligent querying and scenario simulation.
  • The platform processes 5 million tax documents per minute.
  • BMTax initially increased productivity by 15–25% after removing manual processes.
  • Improved traceability reduced the number of inconsistencies employees manually reconcile by 20–35%.
  • BMTax has analyzed more than R$2 trillion in fiscal records.
  • The firm says the platform creates a foundation for new data- and automation-based services and better tax risk/opportunity identification.
Architecture

Intelligence Tax Hub is built on Microsoft Fabric with 45 TB of data unified in a centralized data lake. Azure OpenAI in Foundry Models powers an internal chatbot that uses natural-language retrieval and reasoning. Power BI supports analytics and visualization, and Microsoft security solutions protect sensitive data. The article also notes plans for specialized AI agents for querying and scenario simulation.

Implementation partners1
Sources & evidence1
Evidence: Medium50/100Evidence strength
  • Customer explicitly identified
  • Primary source available
  • Quantified outcome available
  • Technical implementation details available
Type: Customer StoryPublished: Jun 29, 2025Publisher: MicrosoftEvidence: PrimaryConfidence: High

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