As supply chain attacks increase and regulatory requirements become more complex, organizations cannot afford to have gaps in their third-party risk management strategies. Traditional methods, such as manual contract reviews, outdated questionnaires, and retrospective audits, are too slow and no longer adequate. 

That's why we created Contractual Gap Analysis, a smarter way to spot hidden risks in contracts, security documents, and compliance policies before they cause trouble. 

What is AI Contractual Gap Analysis? 

AI Gap Analysis utilizes artificial intelligence to identify gaps in compliance and risk. It helps you detect vulnerabilities, prioritize fixes, and drive continuous improvement, making your organization stronger and more resilient. It automatically reviews contractual documents to identify the following: 

• Missing or weak clauses 

• Unmapped regulatory requirements 

• Operational loopholes 

• Financial exposure points 

We map this data to global compliance standards, enabling us to find and flag critical vulnerabilities in minutes rather than months. 

Why This Matters? 

Contracts are the backbone of every business relationship, but hidden gaps can expose your organization to legal, financial, and operational risks. Manual reviews are time-consuming and often miss critical issues. 

AI Contractual Gap Analysis accelerates this process, uncovering weaknesses and compliance shortfalls that could lead to costly disputes, regulatory penalties, or service disruptions. By identifying these risks early and aligning contracts with global standards, you strengthen your defenses, ensure accountability, and gain confidence in every agreement you sign. 

How AI Contractual Gap Analysis Solves the Problem 

Genesis eliminates these inefficiencies through automation: 

AI Contractual Gap Analysis Core Features

1. Weak Clause Detection 

Automatically scans contracts to detect missing or weak clauses related to liability, data retention, disaster recovery, and more. This helps ensure all critical legal and compliance terms are present and enforceable. 

2. Contradiction Checker 

Compares vendor claims with actual contractual evidence. It flags inconsistencies, such as claimed security certifications that are not supported in the contract, helping you spot misrepresentations before they become liabilities. 

3. Risk Identification and Prioritization 

Utilizes AI to identify high-risk areas, including overdue compliance actions and unresolved vulnerabilities. Risks are ranked by severity and impact, allowing you to focus on what matters most and allocate resources effectively. 

4. Information Security Assessment 

Evaluates a vendor's ability to maintain operations during disruptions. It reviews service uptime, SLA performance, and incident response history to uncover cybersecurity weaknesses and continuity gaps. 

Use Cases: AI Contractual Gap Analysis.

Client Profile 

A multinational financial services firm operating across diverse markets, managing a complex network of over 500 third-party vendors. 

Challenges 

1. Manual Risk Assessments: The firm relied on labor-intensive processes to evaluate vendor compliance and risk, leading to delays and potential oversights. 

2. Scattered Data: Vendor information is dispersed across multiple systems, making it challenging to comprehend their performance and identify risks. 

3. Regulatory Compliance: Keeping up with evolving regulatory requirements across different jurisdictions was resource-intensive.

Implementation of Genesis AI Contractual Gap Analysis. 

The firm integrated Genesis's AI Gap Analysis into its TPRM framework to automate and enhance its risk assessment processes. 

Key Features Utilized:

1. Information Security Assessment: Genesis reviewed operational metrics, including service reliability and incident response capabilities, to assess vendors' ability to maintain business continuity 

2. Financial Health Evaluation: The AI analyzed vendors' financial statements, assessing key metrics such as the current ratio and debt-to-equity ratio to gauge their financial stability.

3. Risk Identification and Prioritization: The system identified critical risks, including high-priority vulnerabilities and overdue compliance items, prioritizing them based on their potential impact.

4. Operational Assessment: The Operational Assessment feature compares real-time performance metrics, including uptime, downtime, ticket resolution time, and incident response, against each vendor's Service Level Agreement (SLA) terms. It automatically identified and flagged any recurring performance gaps or breaches for further action.

Results & ROI 

Outcomes 

• Efficiency Gains: The firm achieved a 90% reduction in the time spent on manual assessments, resulting in a 90% faster identification of high-risk vulnerabilities. 

• Enhanced Risk Visibility: Automated, real-time compliance checks provide continuous monitoring, enabling proactive risk management. 

• Improved Compliance: The AI-driven approach ensured that vendors met regulatory requirements, reducing the risk of non-compliance penalties.