What challenges did Eton Solutions face before AI implementation?

Financial documents and records were fragmented across portals, spreadsheets, databases, emails, and videos. The business needed speed, accuracy, repeatability, traceability, privacy, and cross-border regulatory compliance at global scale.

What was the impact of the AI solution?

Time spent on manual processing was cut 75%. Workflows dropped from 10-15 manual steps to 2. Processing time per document fell from eight minutes to two. Deployment timelines went from up to 19 months to as little as 90 days.

Source

MicrosoftEvidence: Medium50/100

Eton Solutions (wealth management) — 75% faster document processing using Azure OpenAI on Microsoft Fabric

Use case typeDocument processing automationUpdated 1 day ago

Eton Solutions used Microsoft Fabric as a governed data foundation for its AtlasFive wealth management platform to unify structured and unstructured financial data. The company built EtonAI on Azure OpenAI, Azure AI Search, and Azure Document Intelligence to enable natural-language queries, automated reporting, and faster document processing.

Organization: Eton Solutions
Industry: Finance
Location: Singapore
Published: July 2026

Reported outcomes

−75%

timeTime & speed

90 daystime

Catalog median for time & speed deployments: −50% across 312 reported metrics. Compare benchmarks →

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

Normalized claim

Time: 75% decrease

Microsoft Customer StoriesJul 27, 2026Customer storyInferred claimMedium evidence strength

Time spent on manual processing was cut 75%.

Normalized claim

Time: 90 days

Microsoft Customer StoriesJul 27, 2026Customer storyInferred claimMedium evidence strength

Deployment timelines went from up to 19 months to as little as 90 days.

Why do we believe this deployment?Customer identity, provider attribution, maturity, and source checks

Customer: Eton Solutions
Provider: Microsoft
Maturity: Unknown
Linked source: Microsoft Customer Stories

No explicit deployment-stage evidence found.

Customer identity supportedSource describes one deploymentMaturity evidence evaluated

Primary read

Use case focus

Showing 2 of 2

1Document processing automation
2Workflow automation

Financial documents and records were fragmented across portals, spreadsheets, databases, emails, and videos.
The business needed speed, accuracy, repeatability, traceability, privacy, and cross-border regulatory compliance at global scale.

Eton used Microsoft Fabric to create a single source of truth and unify data, content, and permissions.
It layered AI capabilities with Azure OpenAI, Azure AI Search, and Azure Document Intelligence for automated analysis, queries, and reporting.

Technologies

Microsoft Fabric Azure OpenAI Azure AI Search Azure AI Document Intelligence

Time spent on manual processing was cut 75%.
Workflows dropped from 10-15 manual steps to 2.
Processing time per document fell from eight minutes to two.
Deployment timelines went from up to 19 months to as little as 90 days.

Architecture

Eton Solutions used Microsoft Fabric as a governed data foundation for its AtlasFive platform, unifying structured financial records and unstructured content into a single source of truth, and built EtonAI on Azure OpenAI, Azure AI Search, and Azure Document Intelligence for natural-language queries, analysis, and automated reporting.

Sources & evidence1

Evidence: Medium50/100Evidence strength