In today's dynamic business landscape, managing contracts efficiently is a challenge. Organizations face the burden of manual contract review, time-consuming policy adherence checks, and the complexity of drafting tailored contracts. Affine’s Eryl for Intelligent Policy & Contracts Management solution, powered by Azure OpenAI, offers a centralized, one-stop solution to address these challenges.

Business Challenges:

Manual Contract Review: The time and effort involved in manually reviewing contracts for compliance and anomalies is a bottleneck in contract management.
Customized Contract Drafting: The need to generate and tailor contracts quickly based on existing knowledgebase and templates.
Compliance Issues: Identifying potential compliance issues in contracts against set policies or benchmarks is a cumbersome process.
Ratification Challenges: Delays and inefficiencies in the contract ratification process, leading to extended timelines and potential bottlenecks in business operations.
Data-Driven Decision-Making: The lack of data-driven insights from contract documents impedes strategic planning and decision-making.

Proposed Solution:

Eryl's Generative AI Solution, powered by Azure OpenAI services, offers a centralized platform for policy and contract management. This innovative solution provides the following key features:

Audit & Compliance: Eryl can swiftly identify potential compliance issues in contracts against predefined policies or benchmarks, streamlining the auditing process.
Question & Answering (Q&A): Eryl allows users to interact with contract documents in a chat-like interface for efficient information retrieval, making it easy to access critical data.
Contract Creation: With the Builder AI module, users can generate and tailor contracts from scratch using a knowledge base and predefined templates. Customization instructions and document previews ensure accurate contract generation.
Analytics & Insights: The solution provides powerful analytics tools to extract key insights from documents, facilitating data-driven decision-making and strategic planning.
Contract Comparison: With Contract Comparison, Eryl allows users to efficiently compare and contrast different versions of contracts, streamlining the review process and ensuring accuracy.
Trend Analytics: Eryl's Trend Analytics feature, provides valuable insights into evolving patterns within contracts over time, aiding in proactive decision-making and risk management.

Azure Services Used:

Azure OpenAI, Azure Cognitive Search, Azure ML Studio, Azure Functions, Azure Blob Storage, Azure Cosmos DB, Azure VM, Azure Active Directory, Azure Data Factory, Azure Defender, Azure FrontDoor etc.

PoC Agenda:

Week 1 and 2 - Kick Off and Discover:

Introduction to Eryl's AI Solution.
Project kick-off and initial discovery sessions.

Week 2-8 - Implementation and Prompt Engineering:

Deploy Eryl's AI modules.
Integrate with existing systems.
Thorough testing and validation.

Week 8-10 - UAT, Training, Handover:

User Acceptance Testing (UAT) and training.
Fine-tuning based on feedback.
Handover of the fully implemented solution.
Review of PoC results and scaling recommendations.

Expected Benefits:

Improved Turnaround Time: Streamline the contract management process for quicker results.
Reduced Manual Effort and associated Error: Minimize manual contract review and drafting.
Better Negotiation Capability: Enhance negotiation processes with intelligent insights derived from the contract documents.
Cost Efficiency: Optimize resources and reduce operational costs.
Improved Compliance: Ensure policies and benchmarks are met with ease.
Flexibility: Customize contracts swiftly based on your specific needs.
Scalability: Grow your contract management capabilities as your business expands.

For customized PoC scope, agenda, and pricing tailored to your organization's needs, contact us. Our experts are ready to discuss and design a solution that perfectly fits your policy and contract management requirements.

Vision To Value -Turn Strategy info Actionable Azure Requirements and Outcomes

Reply

Detalles