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CILT Certificate in AI for Procurement (CAIP)

CILT Certificate in AI for Procurement (CAIP)

Why Attend

The procurement function is undergoing a rapid transition from manual analysis to intelligent, AI-driven decision-making. This course empowers procurement professionals to move beyond basic automation and embrace the new era of cognitive procurement, where autonomous sourcing, predictive intelligence, real-time risk monitoring, and GenAI-assisted contracting define competitive advantage. Through expert-led frameworks and immersive hands-on labs, participants will learn how to deploy AI copilots, clean and enrich spend data, automate tail spend, detect supplier risk signals, and negotiate smarter. By the end of the course, attendees will be equipped to design and implement AI-enabled procurement workflows that deliver measurable value.

Associations
Associations
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Overview
Course Methodology

This course uses a combination of interactive learning tools, such as videos, questionnaires, case studies, team exercises, individual exercises, hands-on simulations, and group discussions.

Course Objectives

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

  • Analyze the procurement value chain to identify high-impact opportunities for AI automation and augmentation
  • Apply Generative AI prompting frameworks to develop RFPs, evaluate supplier proposals, and summarize contract clauses
  • ​​Evaluate spend and market data to produce predictive category forecasts and identify pricing anomalies
  • ​Design an autonomous sourcing workflow tailored to low-complexity, high-volume procurement categories
  • ​Assess supplier risk using real-time AI monitoring models and ESG verification tools
Target Audience

Procurement directors, category managers, supply chain analysts, contract administrators, and purchasing officers seeking to elevate their capabilities using advanced AI-enabled procurement tools.

Target Competencies
  • Performing strategic sourcing and category optimization
  • Utilizing digital transformation and procurement automation tools
  • Improving AI outputs with prompt engineering 
  • Analysing data for forecasting and decision intelligence
  • Using GenAI for contract lifecycle management
  • Validating ESG practices
  • Monitoring supplier risk 
  • Creating negotiation strategies supported by AI
Course Outline
  • Module 1: AI Opportunities Across the Procurement Value Chain
    • Mapping the procurement value chain for AI augmentation
    • Distinguishing between automation, augmentation, and autonomous procurement models
    • AI maturity assessment for procurement functions
    • Identifying high-value AI use cases (S2C, P2P, Contracting, SRM)
    • Data readiness and taxonomy foundations
  • Module 2: Generative AI for Procurement and Prompt Engineering
    • The “Context–Task–Constraint” (CTC) prompting model
    • Using GenAI to draft RFPs, SOWs, and supplier questionnaires
    • AI-powered proposal analysis and bid comparison
    • Contract summarization and clause restructuring using GenAI
    • Hands-on prompting labs: RFP drafting + contract redlining
    • Reducing hallucination risks in procurement GenAI workflows
  • Module 3: Predictive Intelligence and Advanced Spend Analytics
    • Building predictive spend models using internal and external data
    • Market intelligence integration (commodities, inflation, geopolitical feeds)
    • Detecting anomalies and cost-avoidance opportunities
    • Developing 12-months category forecasts
    • Tail spend analytics and automated buying channels
  • Module 4: Smart Sourcing and Autonomous Procurement Design
    • Principles of autonomous sourcing (rules-based versus agent-based models)
    • Defining thresholds for “touchless” procurement
    • AI-driven supplier discovery and evaluation
    • Workflow design for automated RFQ processing
    • ESG and sustainability verification using AI tools
  • Module 5: Supplier Risk Monitoring and Cognitive Negotiations
    • Real-time risk signals: Financial, geopolitical, and social sentiment indicators
    • AI “watchtower” systems for predictive supplier risk
    • Crisis-response simulations and communication drafting
    • AI-assisted negotiation preparation and BATNA modeling
    • Negotiation labs using AI copilots
    • Evaluating supplier reliability using multi-factor AI scoring
Associations
Associations
Chartered Institute of Logistics and Transport (CILT)

Meirc is an Approved Training Provider (ATP) in the region for the Chartered Institute of Logistics and Transport (CILT). Established in 1919, CILT is the world’s leading supply chain, logistics and transport professional body with over 33,000 members across the globe. CILT seeks to add value to individual and corporate members by enhancing their knowledge, careers, and businesses by setting, supporting and delivering professional standards and education in the fields of logistics, transport and supply chain. By attending Meirc’s CILT accredited courses, participants can earn CPD units as well as attain modular unit award courses that can be combined for international certification

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MPC
MPC Certifications
Meirc Professional Certificate (MPC)

MPC certified courses by Meirc Training & Consulting are designed for those willing to challenge themselves and go the extra distance. Participants who fully attend an MPC course and successfully complete the test on the last day, will receive a Meirc Professional Certificate (MPC), in addition to the one they receive for full attendance. MPC certificates are regionally recognized and can be quite valuable when applying for more senior roles within the organization or outside.

List of Certified Courses
Schedule & Fees
2026 Schedule & Fees
Per participant
  • 14 - 18 Jun, 2026
  • English
  • Dubai
  • Venue to be assigned
Per participant
  • 11 - 15 Oct, 2026
  • English
  • Dubai
  • Venue to be assigned
Fees + VAT as applicable (including coffee breaks and a buffet lunch daily) Discount Plans & Cancellations Policy

Meirc reserves the right to alter dates, content, venue, trainer, and to offer courses in an integrated virtual learning (IVL) format whereby face to face classroom participants and virtual learners participate simultaneously in the same course in an interactive learning experience.

Tax Registration Number: 100064080300003

Virtual Learning
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