Use Case

CONVERSATIONAL-TO-AGENTIC SHOPPING ASSISTANT

October 12, 2023
April 9, 2026
8 min read
20
min read
Data visualization and AI network
85%Reduction in manual data entry time
3.2xIncrease in underwriting throughput
100%Sovereign data compliance maintained

The insurance industry relies heavily on complex document analysis, risk assessment, and regulatory compliance. For global reinsurers, processing unstructured data from various sources into structured underwriting models has traditionally been a labor-intensive bottleneck.

The Challenge of Unstructured Data

Business Challenge Simple chatbots handle basic queries but cannot complete complex purchases, compare products, or negotiate offers autonomously.

How Agentic AI Helps A fully agentic shopping assistant moves beyond conversation to execute end-to-end purchases, comparisons, and customisations on behalf of the customer.

Detailed Automated Business Process The assistant understands intent, searches inventory, compares options using sovereign RAG, applies discounts, and completes checkout while confirming every critical step with the customer.

Potential Business Impact Cart abandonment decreases dramatically, average order value increases, and customer satisfaction rises through frictionless, intelligent shopping experiences

Call to Action Learn how to upgrade your conversational tools into true agentic shopping assistants. Request a strategy workshop.

Before implementing Singularity IO's agentic platform, underwriting teams spent up to 40% of their time manually extracting data from PDFs, emails, and legacy systems. This not only slowed down the quotation process but also introduced the risk of human error in critical risk assessment models.

"Singularity IO didn't just give us an LLM; they provided a secure, sovereign orchestration layer that allowed our internal systems to talk to each other autonomously. It fundamentally changed our operational velocity."

Agentic Workflows in Action

Because the platform is deployed on Swiss sovereign cloud infrastructure, all data processing complies strictly with FINMA regulations, ensuring that sensitive client data never leaves the secure perimeter.

By deploying a multi-agent system, the client was able to automate the entire ingestion pipeline. The workflow operates as follows:

  • Intake Agent:Monitors secure inboxes and classifies incoming submission documents.
  • Extraction Agent:Utilizes fine-tuned vision models to extract tabular data from complex policy schedules.
  • Validation Agent:Cross-references extracted entities against internal databases and flags anomalies for human review.
Network infrastructure visualization

Implementation Stack

LangGraphLlama 3 (Self-Hosted)ExoscalePostgreSQLn8n

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Measurable Impact

How Singularity's sovereign agentic workflows transformed operations and delivered concrete ROI for this implementation.

85%
3.2x
$1.5M
99.9%