NovaSOP AI – Intelligent SOP & Contract Management

NovaSOP AI introduces an AI-driven document intelligence layer that transforms manual SOP processes into intelligent automated workflows.

Key capabilities include

Document Intelligence

• Intelligent SOP and contract retrieval
• Semantic search across documents

• Automated SOP and contract generation
• Template-driven document creation

• AI-driven updates based on audit findings

• Regulatory clause suggestions
• Compliance validation

• SOP translation for operator languages

• Automated approval workflows
• Version control and audit trails

Business Outcomes

• 70% reduction in SOP drafting effort
• 50% faster document revisions
• Improved audit readiness
• Standardized documentation across functions
• Reduced translation effort across plants

Phased Service Approach

Phase 1 - Discovery & Process Assessment

Objective Understand current SOP and contract lifecycle across departments.

• Review current SOP creation and approval workflows
• Identify document repositories (SharePoint, file servers, ERP, DMS)
• Map compliance and audit requirements
• Identify language and regional documentation needs
• Define use cases for AI automation

• SOP lifecycle assessment report
• Document architecture blueprint
• AI use case prioritization roadmap
• Governance and compliance mapping

Phase 2 - Knowledge Ingestion & AI Model Setup

Objective Create a centralized knowledge layer for document intelligence.

• Ingest SOPs, contracts, and policy documents
• Index documents using AI retrieval architecture (RAG)
• Configure semantic search and retrieval
• Implement clause and document structure detection
• Enable AI document understanding

• Azure OpenAI
• Azure AI Search
• SharePoint / Document repository
• Knowledge indexing pipelines

• AI knowledge base
• Document indexing framework
• Retrieval architecture configuration

Phase 3 - Intelligent SOP Automation

Objective Enable AI-driven SOP creation, drafting, and retrieval.

1. Intelligent Document Retrieval. Users can query SOPs using natural language. Example: “Find SOP related to batch quality validation”.
2. Automated SOP Draft Generation. AI generates structured SOP drafts based on existing templates. Example: “Create a contract draft using existing structure”. Inputs: parties, duration, scope, compliance requirements.
3. Clause Intelligence. AI identifies common clauses and recommends additions based on regulatory frameworks. Example outputs: compliance clauses, governance clauses, risk protection clauses.

Phase 4 - Revision Automation & Compliance Integration

Objective Automate SOP updates driven by audits and compliance changes.

• Identify impacted SOP sections during audit findings
• Automatically suggest revision updates
• Track revision history and document lineage
• Provide compliance gap analysis

• Audit systems
• Quality management systems
• Compliance repositories

Phase 5 - Workflow & Governance Automation

Objective Enable structured review and approval processes.

• Workflow driven approvals
• Role-based access controls
• Document version management
• Compliance audit trails

• Power Automate
• Microsoft Teams approvals
• SharePoint workflow integration

Phase 6 - Multilingual SOP Translation

Objective Ensure operational accessibility across manufacturing plants.

• Automatic translation of SOPs into regional languages
• Operator-friendly format generation
• Consistency validation across translations

Phase 7 - Adoption & Scale

Activities

• User training sessions
• Governance setup
• Operational playbooks
• Rollout to multiple plants / business units

Delivery Timeline & Cost

Total Implementation Duration: 6-7 weeks Estimated Total Cost: ₹8,00,000– ₹15,00,000 depending on final Business Requirements Document.