Stop Fraud Before It Happens
Turn every transaction into a real-time risk decision.
No data scientists. No complex setup.
Just intelligent fraud protection that learns your business and reacts instantly.
— Deployed in 1–2 Days
THE CHALLENGE
Are Your Customer Calls Creating Blind Spots?
Most businesses record customer calls — but very few actually analyze them effectively.
Support teams and managers spend hours manually listening to calls for quality checks, customer complaints, compliance reviews, and agent performance monitoring. Important customer feedback gets missed, negative experiences go unnoticed, and identifying trends across hundreds of calls becomes nearly impossible.
As call volumes grow, manual review processes simply cannot scale.
The result? Poor customer experience, delayed issue resolution, inconsistent service quality, and missed business insights hidden inside conversations.
The numbers reflect the same challenge across industries:
- Contact center teams spend up to 80% of analysis time on manual review and data compilation
- Businesses struggle to detect negative customer sentiment before escalation
- Manual QA processes delay issue identification by days or weeks
- Traditional speech analytics platforms are expensive and require complex enterprise deployments
- Customer feedback often remains trapped inside unstructured audio files
- The core problem is not lack of customer data — it is the inability to automatically convert conversations into structured, actionable intelligence.
How It Works
Our speech analytics solution runs entirely on AWS serverless services, providing automatic scalability, lower operational costs, and high reliability.
Customer call recordings are uploaded to Amazon S3. AWS Lambda automatically triggers processing workflows that send audio files to Amazon Transcribe for speech-to-text conversion. Once transcription is complete, Amazon Comprehend analyzes the transcript for customer sentiment and extracts important phrases.
Results are securely stored in DynamoDB and Amazon S3, while Amazon SNS sends alerts whenever negative customer sentiment is detected. Amazon CloudWatch continuously monitors the entire workflow for operational health and performance.
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
By the time leadership receives the dashboard, the data is already outdated.
Meanwhile:
- Analysts spend hours on manual prep instead of insights
- Business decisions rely on gut feeling
- Expensive servers run 24/7 doing almost nothing
- Reporting errors quietly impact revenue and operations
The reality across industries:
- 80% of analyst time is spent preparing data
- 88% of spreadsheets contain errors
- Traditional BI infrastructure costs $500–$2,000+/month
- Delayed reporting causes slow business reactions
The root problem:
Most businesses lack an automated system that continuously ingests, organizes, and analyzes operational data in real time.
OUR SOLUTION
Automated Serverless BI — Built for Growing Businesses
We deploy a fully managed AWS-based reporting pipeline that automatically transforms raw business files into structured, queryable business intelligence.
Built using:
- Amazon S3 Data Lakes
- AWS Glue
- Amazon Athena
- AWS Lambda
- EventBridge automation
From the moment data arrives:
- Files are uploaded automatically to S3
- AWS Glue detects and catalogs new data
- Athena makes everything queryable instantly
- Reports generate automatically on schedule
- Teams receive dashboards and summaries automatically
HOW IT WORKS
Raw Files → Amazon S3 Data Lake
↓
AWS Glue Crawlers → Schema Detection
↓
Glue Data Catalog → Queryable Tables
↓
Amazon Athena → SQL Analytics
↓
AWS Lambda + EventBridge → Automated Scheduling
↓
SNS / SES → Report Delivery & Alerts
BUSINESS OUTCOMES
Time Savings
- Recover 10–15 hours/week
- Eliminate manual report consolidation
Cost Reduction
- Reduce reporting infrastructure costs by 90%+
- Replace always-on servers with pay-as-you-go architecture
Better Decisions
- One centralized data source across departments
- Faster operational visibility
- Near real-time reporting
Performance
- Query millions of rows in seconds
- Eliminate Excel crashes and version conflicts