Case Study

18 Agents, 0 Bottlenecks: Scaling Audits with Intelligent AI Orchestration

Industry Legal Services & Tech-Enabled Compliance
Location United States
Platform Salesforce Agentforce, MuleSoft & Sales Cloud
Engagement Autonomous AI Agent Framework & Process Orchestration
16x Faster Case Processing Time
10% Reduction in Case Drop-Off Rate
5% Initial Straight-Through Processing (STP)
18 Autonomous Custom Agents Orchestrated
About the Client

Optimizing compliance and intake pipelines for high-stakes litigation

The client is an organization bridging the gap between law firms and claimants. They specialize in vetting qualified individuals and delivering fully compliant intake packets to top litigators, requiring high precision and rigorous adherence to strict validation standards at scale

The Challenge

Manual discernment checks created downstream bottlenecks and claimant drop-off

The Claimant Services Fulfillment team faced significant operational friction due to heavy reliance on manual review workflows late in the intake lifecycle.

  • Late-Stage Friction: The team was manually processing more than 20 binary and discernment checks per case. Because these audits occurred too late in the fulfillment cycle, they created severe processing bottlenecks.
  • Data Vulnerabilities: Processing delays led to increased compliance errors and avoidable claimant disengagement before packets reached litigators.
  • Resource Strain: Team members spent excessive time on routine validation data sets instead of high-value analysis and exception handling.
The Solution

A multi-layered autonomous agent framework powered by centralized orchestration

A robust, multi-layered automation framework was built utilizing 18 individual, embedded, and autonomous custom Agentforce Agents executing seamlessly under a centralized orchestration layer. The architectural strategy balanced upfront investment with recurring costs by using AI judiciously, thereby optimizing the total cost of ownership (TCO). The architecture matched the tool to the specific data type—ensuring AI was applied for discernment and standard logic was used for execution, while utilizing AI for decision support and recommendations and relying on deterministic logic for final, critical actions to ensure overall system stability.

  • 01 / Multi-Modal Document Verification: Deployed specialized agent categories to handle record verification against document information using custom prompt templates equipped with multi-modal functionality.
  • 02 / Extensible API Integration Layer: Configured agents to execute record verification against proprietary and government databases using Custom and Open APIs integrated via MuleSoft services.
  • 03 / Cross-Object Salesforce Validation: Established localized validation agents performing record verification with complex cross-object validation directly within Salesforce.
The Results

Accelerated turnaround times and fully automated audit checks

The deployment transformed the compliance workflow from a slow, manual bottleneck into a highly automated, scale-ready intake pipeline.

  • 16x Processing Acceleration: Improved case processing time by 16x through fully automated and orchestrated audit checks.
  • Mitigated Claimant Drop-Off: Reduced case drop-off rate by 10% as a direct result of faster, improved upstream verification checks.
  • Zero-Intervention Routing: Achieved an initial KPI of 5% of cases routed entirely through fully automated processing without any human intervention