A New Approach to Digital Contract Management & Legacy Document Intelligence

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Quikjet Cargo Airlines, a leading air cargo service provider operating scheduled and ad-hoc freight movements across India, was struggling with large volumes of legacy contracts, each containing unique terms, clauses, obligations, and expiry conditions. These documents were scattered across departments and formats, making them difficult to track and manage.

To modernize contract governance, reduce manual effort, and enable faster, safer, and compliance-ready contract operations, Quikjet partnered with Melento CLM, powered by SAM AI, resulting in dramatically higher contract visibility, quick data extraction from legacy agreements, and seamless collaboration across internal teams.

The Challenge

Legacy Contracts, Fragmented Data & Slow Internal Coordination

Quikjet faced operational challenges rooted in outdated contract handling, which made contract retrieval, data extraction, compliance checks, and renewals extremely time-consuming and error-prone.

The organization manages hundreds of legacy contracts across vendors, partners, and service providers without any structured repository, leaving critical terms and clauses buried deep within PDFs, scans, and even physical copies. This results in heavy dependency on manual reviews and constant cross-functional follow-ups, with limited visibility into renewals, obligations, and overall risk exposure. As a result, coordination between Legal, Operations, Procurement, Finance, and Compliance teams becomes slow and fragmented, leading to delays and operational inefficiencies.

The Turning Point

Implementing Melento’s CLM, powered by
SAM AI

Melento (formerly SignDesk) centralized and automated Quikjet’s entire contract lifecycle. The adoption of CLM, powered by SAM AI, allowed the team to instantly extract critical data, obligations, and clause-level insights from legacy agreements, removing the need for manual contract reading and re-entry.

Automated workflows then connected Legal, Finance, Operations, HR, Procurement, and Management into a single streamlined contract engine, resulting in faster operations, improved compliance, and complete visibility across every contract.

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Melento delivered an end-to-end, intelligence-driven CLM platform designed around Quikjet’s operational needs:

AI-Powered Legacy Contract Digitization

SAM extracted key terms, dates, clauses, and obligations, auto-tagging contracts into structured metadata for instant searchability.

Standardized Contract Requests

Unified requests for vendor, supplier, operational, and SLAs across departments.

Automated Drafting & Clause Playbooks

Template-based contract creation with clause libraries and instant playbook deviation detection.

Seamless Workflow Approvals

Cross-functional routing for Legal, Finance, Ops, and Compliance with role-based permissions.

Digital Execution

Aadhaar eSign and digital stamping for fast, compliant contract execution.

Centralized Contract Repository

A single source of legacy and new contracts with smart search and version control.

Renewal & Obligation Automation

Alerts for expiries, renewals, SLAs, insurance requirements, and operational obligations.

Enterprise Security & Integrations

SSO, MFA, audit trails, and integration with internal systems for synchronized operations.

The Impact Results: Measurable Efficiency Across the Contract Lifecycle

Metric Before Melento After Melento
Legacy Contract Review Manual reading, slow extraction, and high error rates AI-powered extraction; key data captured instantly
Contract Turnaround Time Multi-day cycles, heavy coordination Automated workflows; TAT reduced by 80%
Data Visibility Scattered files, difficult tracking Unified repository with instant clause & term search
Compliance Readiness High manual effort, risk of missing terms Clause deviation alerts, AI playbook checks, and full audit logs
Renewals & Obligations Deadlines frequently missed Automated reminders, SLA/obligation tracking
Cross-Department Coordination Email trails, delays in approvals Centralized collaboration and task routing
Operational Scalability Limited by manual processes Scalable, automated contract ecosystem

Legacy Contract Review

Before Melento
After Melento
Manual reading, slow extraction, and high error rates
AI-powered extraction; key data captured instantly

Contract Turnaround Time

Before Melento
After Melento
Multi-day cycles, heavy coordination
Automated workflows; TAT reduced by 80%%

Data Visibility

Before Melento
After Melento
Scattered files, difficult tracking
Unified repository with instant clause & term search

Compliance Readiness

Before Melento
After Melento
High manual effort, risk of missing terms
Clause deviation alerts, AI playbook checks, and full audit logs

Renewals & Obligations

Before Melento
After Melento
Deadlines frequently missed
Automated reminders, SLA/obligation tracking

Cross-Department Coordination

Before Melento
After Melento
Email trails, delays in approvals
Centralized collaboration and task routing

Operational Scalability

Before Melento
After Melento
Limited by manual processes
Scalable, automated contract ecosystem
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Quikjet’s Take

“Melento’s CLM helped us bring structure and speed to our entire contract ecosystem. Extracting data from legacy agreements. Something that took hours earlier now happens in minutes. It has reduced our TAT by up to 80%. Our teams collaborate better, and we finally have complete visibility into every contract.”

-Legal Head (Quikjet Cargo Airlines Team)

Why This Matters for Aviation & Logistics Enterprises

In industries where every vendor agreement, SLA, insurance clause, and operational contract impacts compliance and turnaround time, manual contract handling becomes a major bottleneck. With Melento, aviation and logistics companies can:

Eliminate manual extraction from complex legacy agreements

Reduce operational delays caused by fragmented records

Improve compliance oversight and clause-level governance

Scale operations with automated workflows

Scale operations with automated workflows

Gain enterprise-wide visibility and reduce contract risks

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onboarding journey?
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