Quantified Transformation

Enterprise Case Studies & Proof of Impact

We build systems that generate measurable EBIT improvements, reduce risk exposure, and deliver sustainable competitive advantages.

Global investment bank autonomous trade reconciliation and multi-agent fraud shield

✦ BFSI · AI & Data

Global Tier-1 Investment Bank

Autonomous Trade Reconciliation & Real-Time Fraud Shield using RAG & Multi-Agent Verification.

$42M Annual Savings

The Challenge

Processing over 4 million daily complex cross-border derivatives across 14 fragmented legacy ledgers with unacceptable latency and manual error exposure during volatile market openings.

The Alisil Solution

Constructed a distributed multi-agent verification mesh coupled with real-time vector embeddings, allowing instantaneous reconciliation and sub-millisecond fraud pattern interception.

Measurable Outcomes Realized

⚡ 78% Latency Reduction: Cycle compressed from 6 hours down to 4 minutes.
🛡️ 84% Alert Noise Cut: False positive fraud flags eradicated.
✓ 100% Audit Compliance: Full pass rating across FINRA and MiFID II audits.

✦ Healthcare · Cognitive Operations

Fortune 50 Healthcare Payer

AI-Powered Autonomous Claims Adjudication & Prior Authorization Pipeline.

HIPAA Certified

The Challenge

Burgeoning claims volume causing a 14-day backlog in critical prior authorizations, severe provider friction, and regulatory fines for delayed decisions.

The Alisil Solution

Implemented cognitive document models trained on medical coding standards that validate treatment criteria and clinical notes autonomously with strict doctor-in-the-loop escalation.

Measurable Outcomes Realized

⚡ 90-Second Approvals: Turnaround compressed from 14 days to under 90s.
💰 $18.5M Admin Savings: Drastic reduction in manual re-keying costs.
★ NPS Jump: Provider satisfaction rating jumped from 61 to 94 NPS.

✦ Manufacturing · IoT & Digital Engineering

Global Automotive OEM

Industrial Digital Twin & Computer Vision Edge Inspection across 6 Global Plants.

Zero Defect Goal

The Challenge

High cost of intermittent robotic welding failures and human visual inspection fatigue in high-speed micro-defect chassis inspections.

The Alisil Solution

Architected edge AI cameras with sub-5ms inference on NVIDIA Jetson arrays, synchronized with a real-time cloud digital twin simulating robot wear-and-tear.

Measurable Outcomes Realized

📉 34% Lower Downtime: Unplanned robot stoppages curtailed across all 6 plants.
🎯 <3 PPM Escape Rate: Defect escape rate reduced to under 3 parts per million.
💵 $22M Saved: Warranty claims prevented during the first vehicle launch cycle.

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