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Agentic AI for Contract Lifecycle Management
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Why Contracting at Scale Demands Agentic AI
Contract processes are fragmented and disconnected from sourcing or risk workflows.
Critical clauses are buried, causing missed SLAs, audits, and renewal triggers.
Manual approval flows increase cycle time and allow non-compliant terms to slip through.
How Zycus Agentic AI Powers Smarter CLM
Merlin agents draft, review, and extract clauses automaticallyโaccelerating cycles by 35%.
Risks, exceptions, and redlines are flagged in real time with clause-level intelligence.
All contract metadata syncs with sourcing, intake, and ERP systems without delay.
Zycus Merlin AI Across Every Contract Stage
Authoring
Auto-generate first drafts based on category, region, and intent.
Clause Analysis
Review legal language for risk and compliance.
Obligation Extraction
Tag timelines, KPIs, SLAs, penalties, and alerts.
Risk & Compliance Engine
Audit terms for ESG, audit, and legal policy fit.
Merlin Intake Sync
Pull intake details into contract creation and approval flow.
Renewal and Alerts
Monitors key dates and alerts stakeholders for renegotiation.
The Real Impact of Zycus Autonomous CLM
Why Zycus Contract Intelligence Wins
Integration
Tight integration across intake, sourcing, contract, and risk.
Autonomous
Autonomous agents work behind the scenesโdrafting, checking, alerting.
contract lifecycle
Not just workflow. Itโs intelligent contract lifecycle orchestration.
Gartner Magic Quadrant For P2P suites
Procure-to-Pay Suites
Real Stories Of Innovation & Success
Recommended Resourcesย
- eBooks & Reports
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FREQUENTLY ASKED QUESTIONS
Agentic AI for CLM uses autonomous AI agents to streamline the entire contract lifecycleโfrom drafting and negotiation to monitoring, compliance, and renewal.
Unlike conventional CLM systems that are manual and reactive, Agentic AI provides real-time intelligence, proactive risk alerts, and automated decision-making.
- Automated clause and obligation extraction
- AI-driven risk scoring and compliance checks
- Performance monitoring and predictive alerts
- Renewal and expiration triggers
- โWhat-ifโ simulations to support contract decisions
It continuously analyzes contracts, flags risky clauses or non-compliance issues, and recommends mitigation actions to reduce liability and financial exposure.
Yes โ it should integrate with ERP systems, transportation management systems (TMS), asset/maintenance systems, and other operational systems to enable seamless workflows.
Yes โ it provides clause suggestions, benchmarking data, and predictive insights that help negotiators secure better terms and outcomes.
By leveraging machine learning, contextual validation, and feedback loops, it improves the accuracy of extracted contract metadata and compliance information.
Yes, it integrates with ERP, procurement, and legal platforms to provide seamless workflows and centralized visibility.
The platform tracks contract timelines, sends proactive alerts, and can autonomously initiate renewals, renegotiations, or terminations.
Useful metrics include average request handling time, compliance rate, number of exceptions, request backlog, user adoption, and cost impact of improved process efficiency.
AbsolutelyโAgentic AI is designed for enterprise-grade contract lifecycle management, supporting multilingual contracts, global operations, and complex portfolios.
Organizations benefit from faster contract cycles, reduced manual review time, improved compliance, fewer disputes, and better financial performance.
Discover Zycus deep value procurement AI
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