A global semiconductor leader with $34.6 billion in annual revenue and a workforce of ~31,000 manages large volumes of HR and supplier contracts across its operations. Within the EMEA region alone, the organization handled over 1,000 contracts spanning employee agreements, supplier contracts and manufacturing partnerships.
Operating in a highly distributed environment, contracts were stored across SharePoint repositories, shared drives (including pFile servers) and local systems primarily as unstructured PDFs and scanned documents. This fragmentation made it difficult for HR, legal and procurement teams to track notice periods, monitor obligations and prevent costly auto-renewals or missed deadlines.
As a result, contract governance remained manual, reactive and risk-prone limiting visibility, increasing compliance exposure and constraining strategic decision-making.
When Fragmented Contracts Become a Business Risk
Contract management was not just an operational inefficiency it was a growing enterprise risk.
Thousands of agreements were dispersed across systems without centralized tracking or metadata standardization. Each contract contained unique renewal terms, notice periods, and compliance obligations, buried within unstructured legal language. The lack of visibility made it difficult to track critical timelines, increasing the likelihood of missed obligations and delayed decisions.
Manual contract review further compounded the challenge. Legal and procurement teams had to individually open, interpret and extract key clauses from dense legal documents. On average, each contract required ~30 minutes of effort, resulting in an estimated 200+ hours of manual work annually diverting high-value resources from strategic activities.
With no automated alerts or centralized monitoring, teams relied on spreadsheets and ad hoc tracking mechanisms. This created a 15–30% risk of missed deadlines, leading to unintended renewals, employee lock-ins and potential financial leakage.
By the time risks were identified, deadlines were often imminent leaving little room for proactive action. Contract management had become a reactive function, limiting negotiation leverage and delaying business decisions.
An Agentic AI Model That Reads, Interprets and Acts at Scale
Persistent designed and deployed an agentic AI–powered contract intelligence solution using the UiPath Agentic Platform and GPT-based large language models (LLMs).
At the core of the solution are goal-driven AI agents capable of autonomously managing the end-to-end contract lifecycle from ingestion and analysis to decision support and risk escalation.
Intelligent Contract Ingestion and Clause Extraction
Agentic AI autonomously ingests contracts from across distributed repositories and interprets unstructured content at scale. The system extracts key elements such as notice periods, termination clauses, renewal conditions and compliance obligations eliminating the need for manual review.
Scenario-Based Decisioning and Deadline Intelligence
Embedded business logic dynamically calculates critical timelines and identifies contract-specific obligations. The system continuously monitors deadlines and ensures accurate tracking of notice periods tied to renewals and terminations.
Proactive Risk Detection and Automated Escalation
Contracts with high-risk characteristics such as short notice windows or auto-renewal clauses are automatically identified and flagged. The system routes these cases to exception queues and proactively alerts stakeholders, enabling early intervention and cost avoidance.
Human-in-the-Loop Governance
Complex scenarios, including contracts with embedded images or ambiguous clauses, are routed for validation. This ensures accuracy, auditability and compliance while maintaining enterprise-grade governance.
Scalable, End-to-End Automation Architecture
The solution integrates AI, OCR and automation into a unified workflow, transforming fragmented contract storage into a centralized, intelligence-driven system capable of scaling across regions and business units.
From Reactive Contract Management to Proactive Risk Intelligence
The solution delivered measurable business impact, transforming contract governance into a strategic capability.
With Persistent, the client was able to:
- Reduce contract review time by 60–80%, from 30–60 minutes to 5–15 minutes per contract, significantly accelerating turnaround times.
- Save 200+ hours of manual effort annually, freeing legal and procurement teams to focus on strategic initiatives.
- Double FTE productivity, increasing throughput from ~20 to ~40 contracts per month.
- Reduce missed obligation risk from 15–30% to 5–10%, strengthening compliance and minimizing financial exposure.
- Lower error and rework rates from 15–25% to 5–10%, improving data accuracy and audit readiness.
- Proactively identify high-risk contracts, enabling prompt action on auto-renewals and unfavorable clauses.
- Establish centralized contract visibility, creating a single source of truth across distributed repositories.
Beyond operational gains, the solution enabled stakeholders to gain early visibility into contractual obligations months in advance, improving negotiation outcomes and strengthening strategic decision-making.
What the client says:
My greatest gratitude for your work. You pulled us out of an issue that the vendor couldn’t resolve. Couldn’t have been able to do it without you.
From Compliance Burden to Strategic Business Enabler
Persistent transformed contract management from a fragmented, document-centric process into a scalable, intelligence-driven capability.
By combining agentic AI, automation and human validation, the organization can now continuously monitor contract risk, proactively manage obligations and make faster, more informed decisions.
The engagement demonstrates how agentic AI can unlock enterprise value beyond efficiency elevating contract governance into a strategic function that drives cost optimization, risk mitigation and business agility.
More importantly, it establishes a scalable foundation for enterprise-wide contract intelligence by shifting the organization from reactive compliance to proactive, insight-led decision-making.
