Claude Code Basics for S2P

Procurement manages trillions of dollars in enterprise spend, yet remains one of the most underdigitized functions in business. This chapter opens the course by making the case for AI in procurement — not as a trend, but as a structural shift. You'll map the full procurement value chain and identify exactly where the highest-value AI opportunities sit.

Why Procurement Needs AI Now — The $1.2 Trillion Wake-Up Call

The Procurement Value Chain — Where the Money Actually Flows

The Opportunity: Setting the strategic context — why AI, why now, why procurement

Not all AI is the same — and deploying the wrong type in the wrong place is one of the most common and costly mistakes organizations make. This chapter gives you three practical frameworks: an AI-adjusted Kraljic matrix for prioritizing use cases, a clear comparison of RPA vs ML vs LLM, and a first look at Claude Code and MCP architecture — the modern AI stack you'll use throughout the rest of the course.

The AI-Adjusted Kraljic Matrix — Deploy Where It Counts

RPA vs ML vs LLM — Picking the Right Tool for the Right Job

Claude Code and MCP — The Modern AI Stack for Procurement

Frameworks for deciding where and how to deploy AI

Theory is useful. Evidence is better. This chapter grounds everything you've learned in two hard-hitting real-world case studies: spend classification completed in under ten minutes, and $216 million in off-contract spend detected using AI. These aren't hypotheticals — they demonstrate what's possible when AI is applied to real procurement data with the right tools.

Spend Classification in Ten Minutes — A Live Demonstration

Finding $216 Million in Off-Contract Spend Using AI

Real-world evidence that AI works in procurement

AI is powerful — but it is not infallible. Before you deploy it in a procurement context, you need to understand its failure modes. This chapter covers hallucination, guardrails, and trust frameworks for AI outputs in enterprise settings. You'll leave with a clear mental model for when to trust AI, when to verify, and how to build governance that protects your organization.

When AI Gets It Wrong — Hallucination, Guardrails and Trust

What happens when AI gets it wrong

This is where you stop watching and start doing. In two structured lab sessions, you'll set up your first MCP Server and run five real executive procurement queries against live data. These labs are designed to be accessible to non-developers — step-by-step, guided, and immediately applicable to your own procurement environment.

Lab 1 — Set Up Your First MCP Server Step by Step

Lab 2 — Run Five Executive Procurement Queries with Claude Code

Build it yourself — from setup to running executive queries

The course closes with action. In the capstone exercise, you'll produce an executive memo using AI — the kind of output a CPO or CFO would actually read. Then you'll build your personal 30-day implementation sprint: a concrete, prioritized plan to bring AI into your procurement function starting the moment the course ends.

Capstone — Write Your First AI-Powered Executive Memo

Your 30-Day Implementation Sprint — Start Monday

Apply everything — produce a real deliverable and a 30-day action plan

Procurement is sitting on one of the largest untapped opportunities in the enterprise — and AI is the key to unlocking it.Your First Step into AI-Powered Procurement is a beginner-friendly, practitioner-focused course designed for procurement, supply chain, and finance professionals who know their domain deeply but are just beginning to explore what AI can do for them.This is not a technical course. You won't be writing code from scratch or training machine learning models. Instead, you'll build the strategic foundation and hands-on confidence you need to start using AI tools — including Claude Code and MCP Servers — to do real procurement work: classifying spend, detecting off-contract leakage, running executive queries, and producing decision-ready outputs in minutes rather than days.Across 12 lessons and 6 chapters, you'll move from understanding why AI matters in procurement, to choosing which type of AI fits which problem, to actually running your first AI-powered procurement queries in a live hands-on lab environment. The course closes with a capstone exercise where you produce a real executive memo and a personal 30-day implementation sprint plan.This course is for you if:<ul><li>You're a procurement, supply chain, or finance professional curious about AI but unsure where to start</li><li>You've heard terms like LLM, MCP, and Claude Code but don't know what they mean for your day-to-day work</li><li>You want to move from passive observer to active practitioner — without needing a data science background</li><li>You're an Oracle ERP consultant or SI professional looking to add AI capability to your toolkit</li></ul>By the end of this course, you'll have moved from curiosity to confidence — with a clear picture of where AI fits in procurement, which tools to use, and a 30-day plan to start applying it immediately.

Discover how AI is transforming procurement. Learn where to deploy it, how to choose the right tools, and how to run your first intelligent queries — no coding background required. The perfect starting point for every procurement professional.

Your First Step into AI-Powered Procurement

Sambit Tripathy

What you will learn

Articulate the business case for AI in procurement using data-backed frameworks, including the scale of addressable spend inefficiency across enterprise organizations

Map your own procurement value chain and identify the top 3–5 highest-value AI intervention points

Apply an AI-adjusted Kraljic matrix to prioritize which procurement categories and processes to target first

Distinguish between RPA, ML, and LLM-based AI approaches and match each to the right procurement use case

Explain what Claude Code and MCP Servers are, how they work together, and why they represent a practical AI stack for procurement professionals

Run structured executive queries against procurement data using Claude Code

Apply lessons from real case studies to your own organizational context and spending data

Course content

Course Description

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