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InsuranceTraditional Business

AI supports ‘extreme growth’ at HUB International

HUB International, a major insurance broker, used UiPath's automation and AI platform, including generative AI and specialized AI, to radically streamline operations across various business lines. This transformation significantly improved data processing, reduced costs, and decreased reliance on third-party vendors, crucial for integrating its numerous annual acquisitions.

HUB International Over 17,000 people across more than 530 offices, total revenues of more than $4 billion North America
HUB International
60
processes transformed across multiple lines of business

The Business

HUB International, a major insurance broker, used UiPath's automation and AI platform, including generative AI and specialized AI, to radically streamline operations across various business lines. This transformation significantly improved data processing, reduced costs, and decreased reliance on third-party vendors, crucial for integrating its numerous annual acquisitions.

HUB International · North America · Over 17,000 people across more than 530 offices, total revenues of more than $4 billion.

Before AI

Manual data entry, spreadsheet manipulation, reconciliation, and document processing for finance and accounting functions, heavily reliant on third-party vendors. Manual upload and processing of postal mail documents, and manual classification and data extraction from emails to create cases in NetSuite.

What Changed

Operations were radically streamlined across multiple lines of business using automation, generative AI, and specialized AI. This improved data processing capabilities, slashed costs, reduced reliance on third-party service providers, and facilitated quicker integration of acquired businesses. Specific changes include automated processing of postal mail, data extraction from 900,000+ documents for a fiduciary decision system, and automated email management.

The Result

60 processes transformed across multiple lines of business, leading to radically streamlined operations, improved data processing, slashed costs, and reduced reliance on third-party service providers. Enabled faster integration of acquired businesses and standardized processes.

Why this matters

AI for Enterprise M&A and Data Processing at Scale

Large enterprises with complex growth strategies, particularly those involving frequent mergers and acquisitions, often struggle with integrating disparate systems and data from acquired entities. AI-powered automation offers a critical solution by standardizing diverse datasets and streamlining operational processes, significantly accelerating integration timelines and reducing manual overhead. Beyond M&A, the ability to automate the understanding and extraction of data from millions of varied documents and communications—whether for internal systems or client interactions—demonstrates AI's potential to transform core business functions. This capability liberates human capital from repetitive data entry, allowing them to focus on higher-value strategic tasks and ultimately enhancing organizational agility and responsiveness to growth.

Technology Used

UiPath Business Automation Platform, UiPath Document Understanding, UiPath Communications Mining, UiPath Task Mining
by UiPath

Used for:

Streamlining operations across multiple lines of business and improving data processing capabilities.Automating the HUB Mail postal service by reading, understanding, and extracting data from documents.Reading, identifying, and extracting relevant data from over 900,000 documents of varying formats, then repurposing and standardizing the data for a fiduciary decision system.Streamlining email management by automatically scanning, understanding context, and extracting relevant information from emails to inform workflows in NetSuite.Gaining deep insights into current ways of working to discover new process improvement opportunities.

Source

UiPath
Vendor customer story
AI supports ‘extreme growth’ at HUB International
Read original case study

Results are reported by the identified source/company and have not necessarily been independently verified by AI YAI YAI.

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