Digital Contract Lifecycle: AI-Powered Transformation.
A Fortune 500 telecom provider engaged DeccanBridge to digitize, analyze, and optimize 180,000+ legacy contracts using AI-powered tools.
The The client maintained a decentralized contract repository spanning 180,000+ agreements across 40+ business units, with inconsistent metadata, no centralized clause library, and manual renewal tracking. They faced an estimated in annual revenue leakage from missed renewals and unfavorable auto-renewal terms.
The client maintained a decentralized contract repository spanning 180,000+ agreements across 40+ business units, with inconsistent metadata, no centralized clause library, and manual renewal tracking. They faced an estimated in annual revenue leakage from missed renewals and unfavorable auto-renewal terms.
Our DeccanBridge's Contracts & Technology teams deployed an AI-first approach: optical character recognition (OCR) for scanned documents, natural language processing (NLP) for clause extraction, and machine learning for risk scoring. We built a unified contract data lake and a user-facing dashboard.
DeccanBridge's Contracts & Technology teams deployed an AI-first approach: optical character recognition (OCR) for scanned documents, natural language processing (NLP) for clause extraction, and machine learning for risk scoring. We built a unified contract data lake and a user-facing dashboard.
The Over 14 months, we processed 180,000+ contracts, extracted 2.4M data points, and tagged 340+ clause types. We identified .3M in savings from termination rights, .7M from renegotiable price escalation clauses, and automated renewal alerts for 12,000+ expiring agreements.
Over 14 months, we processed 180,000+ contracts, extracted 2.4M data points, and tagged 340+ clause types. We identified .3M in savings from termination rights, .7M from renegotiable price escalation clauses, and automated renewal alerts for 12,000+ expiring agreements.
+ in value identified in year one, 80% reduction in contract retrieval time, centralized repository with full-text search across all agreements, and a 95% accuracy rate on AI-extracted metadata..
+ in value identified in year one, 80% reduction in contract retrieval time, centralized repository with full-text search across all agreements, and a 95% accuracy rate on AI-extracted metadata.
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