By the end of this course, participants will be able to:

• Understand the role of Generative AI in procurement and contract management
• Identify high‑value GenAI use cases in contract analysis
• Apply GenAI concepts to:
• Clause extraction and comparison
• Risk and compliance identification
• Obligation and renewal tracking
• Use GenAI to enhance spend classification and analytics
• Interpret AI‑generated insights for sourcing and negotiation decisions
• Recognize risks, limitations, and governance requirements of GenAI
• Integrate GenAI outputs into procurement, contract, and finance workflows
• Develop a roadmap for GenAI adoption in contracts and spend analytics

This course is designed for:

• Contract and Commercial Managers
• Procurement and Strategic Sourcing Professionals
• Category Managers
• Spend Analytics and Procurement Excellence Teams
• Finance, Audit, and Compliance Professionals
• Supplier Relationship Managers
• Digital Transformation and Analytics Leaders
• Legal Operations (non‑legal focus) professionals

No AI, data science, or programming background is required.

The course uses a practical, insight‑driven, and interactive approach, including:

• Instructor‑led concept briefings
• Real‑world contract and spend analytics case studies
• Demonstrations of GenAI use cases (conceptual)
• Hands‑on exercises with sample contract excerpts and spend datasets
• Group discussions and scenario analysis
• Governance and risk workshops
• Roadmap and action‑planning sessions

Emphasis is on how to use GenAI outputs responsibly for decisions, not how to build AI models.

Day 1 – GenAI Foundations & Contract Analysis Use Cases

Topics:

• Evolution of contract and spend analysis:
• Manual review → Rule‑based tools → GenAI‑enabled analysis
• What makes GenAI different from traditional analytics
• Overview of GenAI capabilities:
• Text understanding
• Summarization
• Pattern recognition
• Insight generation
• Contract lifecycle and where GenAI adds value
• Key contract data types:
• Commercial terms
• Risk clauses
• Obligations and milestones
• GenAI use cases in contract analysis:
• Clause extraction and classification
• Contract summarization
• Risk and deviation detection
• Contract comparison and standardization
• Human review vs AI support

Workshop:

• Identify GenAI opportunities across the contract lifecycle
  
  

Day 2 – GenAI‑Driven Spend Analytics & Insights

Topics:

• Limitations of traditional spend analytics
• Data challenges in spend analysis:
• Poor descriptions
• Supplier name variations
• Unstructured data
• How GenAI enhances spend analytics:
• Automated spend classification
• Supplier normalization
• Category and sub‑category enrichment
• Identifying:
• Maverick spend
• Contract leakage
• Price and volume anomalies
• Linking contract terms to actual spend behavior
• Using GenAI insights for:
• Category strategies
• Negotiation preparation
• Compliance monitoring

Case Study:

• Using GenAI to identify value leakage between contracts and invoices

Practical Exercise:

• Interpreting GenAI‑generated spend insights and prioritizing actions

Day 3 – Decision Making, Governance & Implementation

Topics:

• Integrating GenAI insights into procurement and contract decisions
• Supporting sourcing, renegotiation, and supplier management
• Governance of GenAI in contracts and spend analytics:
• Data privacy and confidentiality
• Accuracy, bias, and explainability
• Auditability and compliance
• Risk management:
• Over‑reliance on AI
• Misinterpretation of outputs
• Measuring value from GenAI:
• Cost recovery
• Risk reduction
• Productivity gains
• Building a GenAI adoption roadmap:
• Pilot → Scale → Embed

• Future outlook:
• Autonomous contract intelligence
• Continuous spend monitoring

Final Group Exercise:

• Develop a GenAI Contract & Spend Analytics Roadmap:
• Priority use cases
• Data inputs
• Governance controls
• Expected business value

CDGA attendance certificate will be issued to all attendees completing minimum of 80% of the total course duration.