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Brown & Brown AI Adoption Tracker

Last updated: August 18, 2026

3.3 Good

Overview

Brown & Brown, Inc., one of the largest insurance brokers in the U.S., has positioned itself as a leader in AI transformation within the insurance industry[1]. The company has developed comprehensive AI initiatives spanning multiple business functions, from employee benefits and claims management to proprietary AI tool development[2]. With partnerships including EXL, Anthropic, and OnCorps, Brown & Brown is leveraging AI to streamline claims processing, automate underwriting, and enhance customer experiences[3]. The company has appointed dedicated AI leadership, including a Chief Data Officer and technology innovation executives, demonstrating significant organizational commitment to AI adoption[4]. Brown & Brown's approach focuses on responsible AI deployment with emphasis on transparency, governance, and risk management, as outlined in their comprehensive AI regulation white papers[5].

AI Maturity Index

3.3 /5 Practitioner

Evidence high

  • AI deployed across claims management, underwriting, and certificate automation [corporate]
  • Chief Data Officer and technology innovation leadership appointed [corporate]
  • Multiple AI vendor partnerships including EXL, OnCorps, Certificate Hero [corporate]

Missing Evidence

  • Public AI policy documentation
  • Specific AI budget allocation

Evidence high

  • 10.5% of non-tech roles mention AI skills requirement [jobs]
  • Dedicated CDO and technology innovation leadership roles established [corporate]
  • Comprehensive AI risk management frameworks developed [corporate]

Missing Evidence

  • Formal AI training programs
  • AI literacy assessments

Evidence medium

  • 77% of insurers incorporating AI showing industry-wide impact trends [blog]
  • Multiple AI initiatives deployed across different business segments [corporate]

Missing Evidence

  • Specific ROI metrics from AI implementations
  • Claims processing time improvements
  • Cost reduction quantifications

Radar Comparison

Company Sector Avg

Peer Comparison: Brown & Brown vs financials

Based on 77 companies in sector

Dimension Brown & Brown Sector Avg Diff
Adoption 4.0 3.7 +0.3
Proficiency 3.0 3.6 -0.6
Impact 3.0 3.6 -0.6
Overall 3.3 3.7 -0.4

AI Hiring Signals

Brown & Brown Job Postings Analysis

11.2%
AI Mention Rate
98
Jobs Sampled
11
AI-Related Jobs
High Confidence
Data Quality

Tech vs Non-Tech AI Requirements

Tech Roles (Engineering/Data) 13.6%
Non-Tech Roles 10.5%

Top Departments by AI Mention Rate

Product
50.0%
Operations
25.0%
Engineering/Tech
21.4%

Analysis

Brown & Brown shows moderate AI hiring emphasis across the organization with 11% of job postings mentioning AI. Notably, AI skills are spreading beyond technical roles, with 10.5% of non-tech positions requiring AI knowledge, particularly in Product and Operations departments.

View Sample Job Postings (8 sources)

Key Metrics

77% of insurers incorporate AI in some capacity
AI adoption rate in insurance industry
Source: https://www.bbabsence.com/blog/business-sense-ai-trends-in-the-disability-insurance-market/
From $11.2B in 2022 to estimated $427.5B by 2032 (44% CAGR)
Healthcare AI market growth
Source: https://www.bbrown.com/us/insight/ai-in-the-healthcare-industry/
Over 70% according to surveys
Shadow AI usage
Source: https://www.bbrown.com/us/insight/ai-risk-a-risk-managers-guide-to-the-basics/
7
AI Initiatives
Source: Larridin Analysis

AI Initiatives

1

Certificate Hero AI Integration

June 2025

Active

AI-powered certificate of insurance automation platform

Implementation of Certificate Hero's SaaS platform leveraging advanced AI for automating certificate issuance, reducing manual workflows, and accelerating delivery.

Automation
2

EU AI Act Compliance Framework

2025

Active

Global AI regulation compliance and advisory services

Comprehensive framework for AI regulation compliance, particularly focused on EU AI Act requirements including risk classification, transparency requirements, and penalty structures.

3

AI Risk Management Framework

2024

Active

Comprehensive AI risk assessment and insurance coverage framework

Development of AI-specific risk management guidelines and insurance products covering AI hallucinations, privacy violations, IP infringement, and regulatory compliance.

Frequently Asked Questions

Brown & Brown has implemented comprehensive AI initiatives including partnership with EXL for claims management automation, OnCorps for business process streamlining, Certificate Hero for insurance certificate automation, and established dedicated AI leadership roles including Chief Data Officer.

The company has developed comprehensive AI risk management frameworks covering AI hallucinations, privacy violations, IP infringement, and regulatory compliance. They've also created EU AI Act compliance guidelines and established governance structures for responsible AI deployment.

Key partnerships include EXL for disability claims management AI, OnCorps through BBH Connectors for business process automation, and Certificate Hero for insurance certificate automation. The company also references partnerships with technology leaders like Anthropic.

Brown & Brown appointed Michael Vaughan as Chief Data Officer in 2023 and Stephen Boyd as Senior VP of Technology, Innovation, and Digital Strategy to lead AI and technology transformation initiatives across the organization.

Through partnership with EXL, Brown & Brown uses conversational AI tools like Exelia for intelligent claims intake and Extracto for analyzing medical records and documents, particularly focused on disability insurance claims processing and fraud detection.

In Application

ApplicationVendorUse Case
ExeliaEXLLeading-edge intake engine using conversational AI for intelligent claims questioning
ExtractoEXLTool for extracting unstructured data from medical records and providing detailed synopsis
Certificate Hero PlatformCertificate HeroAI-powered certificate of insurance automation and management
ChatGPTOpenAIReferenced for general AI capabilities and training data analysis

Sources

Related Companies

About AI Tracker

AI Tracker is a research project by Larridin, the AI execution intelligence platform.

Methodology: We analyze earnings calls, press releases, partnership announcements, and product documentation. All assessments are based solely on publicly available information—no private customer data is used.

Maturity Scoring: Each dimension is rated on a 4-tier scale (Nascent → Emerging → Scaling → Leading) based on evidence from public sources. Industry averages are computed as the median across all tracked companies in the sector.

Update cadence: Every 2-3 weeks
Last updated: August 18, 2026