We Build History

Challenge

Manual claims processing required 5-7 business days per claim with high error rates and inconsistent decisions across adjusters.

Solution

Deployed Septa's GenAI analytics with document analysis agents to automate claims intake, assessment, and routing — reducing human touchpoints by 80%.

Results

• 40% reduction in claims processing time
• 92% accuracy in automated claim categorization
• 30% decrease in operational costs
• Customer satisfaction scores improved by 25%

Challenge

Quality inspection across 12 production lines relied on manual sampling, catching only 60% of defects before shipment.

Solution

Implemented edge-deployed computer vision models powered by Septa analytics for 100% inline inspection with real-time defect classification.

Results

• Real-time quality inspection across 12 production lines
• 99.4% defect detection rate, up from 60%
• Reduced quality-related returns by 45%
• ROI achieved within 4 months

Challenge

Customer support was limited to English and Hindi, leaving 40% of subscribers underserved across regional languages.

Solution

Deployed Boliye voice AI platform handling customer calls in 8 Indian languages with real-time translation and intent recognition.

Results

• 50,000+ customer calls handled daily in 8 languages
• 35% improvement in first-call resolution
• 28% reduction in average handle time
• Net Promoter Score increased by 18 points

Challenge

DPDP Act compliance required auditing data practices across 200+ systems with no centralized governance framework.

Solution

Implemented PiiVacy for automated data discovery, consent management, and compliance reporting across the entire data estate.

Results

• Full DPDP Act compliance achieved in 8 weeks
• 200+ data systems cataloged and classified
• 90% reduction in manual compliance effort
• Zero compliance violations since deployment

Challenge

Unplanned equipment downtime cost $2.3M annually, with reactive maintenance unable to prevent cascading failures.

Solution

Deployed Septa analytics with traditional ML models on sensor data to predict equipment failures 72 hours in advance.

Results

• 72-hour advance failure prediction
• 45% reduction in unplanned downtime
• $1.4M annual savings in maintenance costs
• Equipment lifespan extended by 20%

Challenge

Citizen feedback collection achieved only 12% response rates through traditional SMS and email surveys.

Solution

Launched Boliye-powered voice surveys in 6 regional languages with conversational AI that adapts to citizen responses in real time.

Results

• Response rates increased from 12% to 47%
• 6 regional languages supported simultaneously
• 85% completion rate on voice surveys
• Actionable insights delivered within 24 hours