Empowering Enterprises with Generative AI, Data, and Cloud Intelligence.

AI-Powered Demand Forecasting for Growing Businesses

Turn your historical sales data into accurate, automated demand forecasts. No data scientists. No complex software. Just better inventory decisions, every week.   — Deployed in 1–2 Days

THE PROBLEM

Most businesses still rely on rule-based fraud detection — and fraudsters already know how to bypass it.

Your team spends hours reviewing flagged transactions.
False positives waste time, while real fraud slips through unnoticed.

A $6,000 suspicious transaction gets missed.
A legitimate $800 customer order gets blocked.

Every channel adds more complexity — more blind spots, more risk.

The impact:

  • $4.23 lost for every $1 of fraud (including fees + churn)
  • 60–80% of alerts are false positives
  • Detection takes 3–5 days on average
  • Manual review slows down real business growth
    Root cause: No real-time system that understands context and adapts.

SOLUTION

AI Fraud Detection That Thinks in Real Time

We deploy a fully managed AWS-based AI system that evaluates every transaction instantly.

It combines:

  • Fast rule-based filtering (speed)
  • AI reasoning via Amazon Bedrock (intelligence)

    What happens in real time:
  1. Transaction enters API Gateway
  2. AWS Lambda applies risk rules instantly
  3. High-risk cases go to AI for deep analysis
  4. Final risk score is generated in <2 seconds
  5. Alerts trigger instantly if needed

You get:

  • Real-time fraud scoring
  • AI-driven risk reasoning (fully explainable)
  • Instant SMS/email alerts
  • Full audit trail for compliance
  • Adaptive learning from user behavior
  • Fully serverless, auto-scaling system

No ML engineers. No infrastructure management.

SOLUTION ARCHITECTURE

How It Works

 

AWS-Powered Architecture

Built entirely on serverless AWS:

  • API Gateway → secure transaction intake
  • AWS Lambda → real-time scoring engine
  • Amazon Bedrock (Nova) → AI fraud reasoning
  • DynamoDB → transaction storage
  • S3 → audit logs (Glacier archival)
  • SNS → fraud alerts
  • CloudWatch → monitoring

BUSINESS OUTCOMES

Measurable Results

  • 40–60% reduction in fraud losses
  • 30–50% fewer false positives
  • Fraud detection reduced from days → seconds
  • 10+ hours/week saved in manual review

Real-world AWS outcomes:

  • Generali: €200M+ savings via AI automation
  • Stripe: real-time fraud scoring at global scale
  • Major insurers: 35% fraud reduction + fewer false alerts
  • Global retailers: 42% drop in chargebacks

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