AI case study

Macquarie GroupWorkflow automation

Manual document summaries bottlenecked experienced staff. Now, AI drafts preliminary risk assessments, freeing teams for complex advisory.

Published|2 weeks ago

Key results

Projected Annual Savings
up to $9.75M
Time Savings
130k hours
Monthly Time Savings
~18.5k hours

Result highlights

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The story

Context

A major Australian financial institution manages high volumes of complex document processing, regulatory compliance checks, and customer inquiries.

Challenge

Experienced staff spent significant time on repetitive manual work, such as summarizing financial documents, drafting preliminary risk assessments,...

Solution
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The company

Macquarie Group logo

Macquarie Group

macquarie.com

Investment bank and asset manager for infrastructure, energy, and commodities.

IndustryFinancial Services
LocationSydney, NSW, Australia
Employees10K-50K
Founded1969

The vendor

ROLE IN THIS CASE STUDY

Provided Google Gemini Enterprise to automate document processing, data analysis, and customer service workflows.

IndustrySoftware & Platforms
LocationMountain View, CA, USA
Employees100K+
Founded1998

Use case

Macquarie Group's Workflow automation is part of this use case:

Workplace AI
171 case studies(+38% YoY)
Proven impact?
LowModerateVery Strong
4.4Moderate
5.7Strongwithin Financial Services
4.0Moderatewithin Knowledge Management

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