πŸ“ Guntur, Andhra Pradesh, IndiaΒ·hello@irdworld.comΒ·Mon–Sat, 9AM–6PM IST
Case Studies

Real Problems. Real Systems.

Capability demonstrations built to production standards β€” each with full technical breakdown, stack rationale, and measurable outcomes.

Insurance Β· AI Automation

IRD DocSearch

85%
Reduction in review time
99.2%
Extraction accuracy
AWS
Auto-scaling deployment

Problem

A regional insurance carrier was manually reviewing thousands of policy documents daily to extract key terms, coverage limits, and exclusions β€” a slow, error-prone process that scaled poorly with volume.

Solution

IRDWorld built an AI-powered document extraction platform that ingests policy PDFs, identifies key fields using NLP models, and outputs structured data directly into the carrier's policy administration system β€” eliminating manual extraction entirely.

Results

βœ“85% reduction in manual document review time
βœ“99.2% field extraction accuracy across varied document formats
βœ“Integrated directly with existing policy admin system via REST API
βœ“Deployed on AWS with auto-scaling β€” handles volume spikes without intervention
JavaSpring BootPythonAWS TextractPostgreSQL
Insurance Β· Dashboard Engineering

IRD ClaimsDash

3
Systems unified
30%
Faster claim resolution
Live
Real-time SLA alerts

Problem

A claims operations team had no unified view of claim status, adjuster workloads, or SLA compliance. Data was spread across three disconnected systems β€” managers were flying blind and SLA breaches were discovered after the fact.

Solution

IRDWorld built a real-time claims operations dashboard that aggregates data from all three backend systems, surfaces SLA breach alerts in real time, and gives managers a single view of the entire claims pipeline with adjuster workload visibility.

Results

βœ“Unified data from 3 separate systems into a single operations view
βœ“Real-time SLA breach alerts β€” caught before breaches, not after
βœ“Adjuster workload balancing visibility across the full team
βœ“Reduced average claim resolution time by 30%
ReactJavaSpring BootREST APIsAWS RDS
Finance Β· Workflow Automation

IRD FlowEngine

18hr
Down from 5 days
0
Manual handoff errors
100%
Compliance audit trail

Problem

A financial services firm had a complex multi-step loan approval process involving 6 departments, manual handoffs via email, and no visibility into where applications were bottlenecking β€” causing delays, errors, and compliance gaps.

Solution

IRDWorld built a configurable workflow automation engine that digitizes the entire approval chain, routes tasks automatically based on configurable business rules, and provides real-time pipeline visibility to operations managers β€” no code changes required when rules change.

Results

βœ“Loan approval time reduced from 5 days to 18 hours
βœ“Zero manual handoff errors β€” all routing is rule-driven and auditable
βœ“Full compliance audit trail for every decision and transition
βœ“Configurable rules engine β€” business team updates rules without engineering
JavaSpring BootReactAzurePostgreSQL
About These Case Studies

These are capability demonstrations built by IRDWorld to production standards β€” real, working software with full architecture documentation. Source code and live demo walkthroughs are available on request.

Request a Demo β†’

Have a similar problem?

Tell us what you are building or automating. We will respond with a clear technical proposal within 48 hours.

Start a Technical Discussion β†’