AWS re:Invent 2025 - Leveraging Agentic AI to process Intelligent automation workloads on AWS Cloud

Leveraging Agentic AI to Process Intelligent Automation Workloads on AWS Cloud

Overview of LPL Financial

• LPL Financial is the largest independent broker-dealer in North America
• Rapid growth has led to significant challenges in scaling operations and technology
• Key goals include increasing advisor satisfaction, reducing cost-to-serve, mitigating risk, and improving employee experience

LPL's Automation Journey

• Started automation program ~6-7 years ago with a vendor product
• Initial success, but limitations around scalability, flexibility, and control
• Shifted focus to cloud-based, API-driven automation leveraging AWS services
• Developed a proprietary framework called "Automandic" to enable reusable, standardized automation components

The Automandic Framework

• Composed of reusable components, code bases, utilities, and tools to build "digital workers"
• Leverages AWS services like Lambda, Step Functions, Textract, and Augmented AI
• Enables API-driven, scalable, and secure automation capabilities
• Allows LPL to leverage in-house engineering talent rather than specialized vendor skills

Migration to Automandic

• Prioritized and sequenced 25-30+ back-office processes for migration
• Adopted a "pod-based" model with 7-8 team members per pod to execute the migrations
• Leveraged AWS Partner Network and worked closely with AWS and Capgemini teams
• Achieved migration goals by June 2025 deadline, avoiding contract renewal issues

Key Outcomes and Benefits

• 84% increase in straight-through processing (STP) rates
• Significant improvements in system stability and SLAs
• Reduced vulnerability management issues and technical debt
• Ability to rapidly onboard new talent with AWS skills
• Increased focus on business value delivery vs. firefighting

Expanding Automation Across the Enterprise

• Automandic framework applied across a wide range of use cases:
  • Account opening, money movement, structured products, compliance monitoring, etc.
• Provides a reusable, scalable automation platform for the business
• Lays groundwork for further integration of Agentic AI capabilities

Conclusion

• LPL's automation journey demonstrates the power of cloud-based, API-driven intelligent automation
• Automandic framework has enabled significant business impact through increased efficiency, stability, and scalability
• Partnership with AWS and Capgemini was critical to the program's success
• Positions LPL for continued innovation and expansion of automation capabilities, including Agentic AI