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Agentforce Workflow: Multi-State Defect Analytics

Running a busy Forensic Engineering Service means processing mountains of failure analysis reports to identify the exact structural or mechanical faults responsible for catastrophic events. To accelerate this critical discovery phase for class-action litigation, your Agentforce Agent conducts autonomous multi-state defect analytics with absolute precision. By actively scanning across jurisdictions and evaluating complex material science data in Data Cloud, the Agent links isolated incidents into undeniable systemic manufacturing defects.

This chart provides a clear, step-by-step visual showing how the Agentforce Agent connects disparate failure records and synthesizes them into actionable legal intelligence. You will see exactly how the Agent seamlessly references independent inspection logs, maps systemic failure rates, and dynamically updates your litigation dashboards in Tableau.

34
AVERAGE HOURS SAVED PER INVESTIGATION
12,679
REPORTS PROCESSED DAILY
$417,296
AVERAGE ANNUAL COST REDUCTION
Autonomous Execution Sequence
Step 1
Initial Data Capture

Agentforce initiates the workflow by securely importing standard PDF and spreadsheet failure analysis reports directly into Data Cloud. The Agent classifies each document based on incident location, date, and documented component fractures.

Document Classification
Step 2
Variable Isolation

Once the initial reports are logged, the Agentforce Agent autonomously structures the text to isolate key metallurgical and stress testing variables. It creates standardized data fields for tensile strength, fatigue limits, and point of origin.

Data Structuring
Step 3
Jurisdiction Scanning

With the variables isolated, the Agent queries historical litigation databases within Salesforce to find matching component part numbers. It continuously flags any exact matches across multiple state jurisdictions.

Cross-Referencing
Step 4
Timeline Construction

Next, the Agentforce Agent cross-references these matching components against known manufacturing batch codes stored in Data Cloud. This establishes a unified timeline of factory production and subsequent field failures.

Batch Mapping
Step 5
External Lab Integration

To expand the scope, the Agentforce Agent imports external laboratory stress-test results from spreadsheet formats using MuleSoft. It autonomously links these external lab findings directly to the internal defect timelines.

MuleSoft Import
Step 6
Defect Verification

The Agentforce Agent evaluates the combined data to calculate a statistical probability of a systemic manufacturing defect. If the failure threshold exceeds standard safety margins, it marks the sequence for class-action viability.

Probability Scoring
Step 7
Visualization Rendering

Following the defect verification, the Agent autonomously pushes all synthesized findings into Tableau. It creates an interactive heat map showing the geographic distribution of all related product failures.

Tableau Rendering
Step 8
Dossier Routing

Finally, the Agentforce Agent routes a comprehensive defect dossier to your lead forensic engineers via Omni-Channel. This ensures your litigation team has immediate, actionable evidence to file the class-action lawsuit.

Omni-Channel Routing
This automatic workflow is totally customizable for your Forensic Engineering Service! We tailor every Agentforce Agent to match your unique standard operating procedures and industry requirements.