Build Your Procurement Operating Model in Claude Code
Turn the supplier work you repeat every quarter into a procurement operating model that runs consistently and scales with your organisation. You build it in Claude Code, so it doesn't vanish like a one-off prompt you forget by Friday. No coding background needed.
4 chapters, 19 lessons
14-day refund on the yearly plan. Real pricing on the plans page, no surprises.
19
lessons, yours to run
Easy to pick up, built to get you the next job
No coding background needed, and you write code with Claude as you go.
Every section below turns into something a hiring manager recognises, not just notes.
Run supplier scoring at any scale without contamination
- You'll open Claude Code from your terminal, score real supplier data, and watch context contamination happen firsthand so you understand exactly why it matters at 50 suppliers
- You'll use a five-factor decision framework to choose between sequential and sub-agent approaches before you write a single prompt
- No prior coding background required: the lesson walks you through each command step by step, from the cd command to reading your first batch output
- Hiring managers call this 'AI-enabled supplier evaluation at scale': you'll be able to demonstrate it with real output files
Design sub-agent workflows that work first time
- You'll launch your first sub-agent, observe exactly what it can and cannot see, and learn the golden rule that prevents every common beginner mistake
- You'll embed rules, constraints, and data paths inside task prompts so your workers follow instructions reliably, every run
- You'll verify sub-agent output as a professional habit, not an afterthought, catching errors before they reach a stakeholder
- This is the kind of structured AI workflow design that appears on job descriptions as 'experience building automated procurement processes'
Orchestrate parallel batches across your supplier base
- You'll build a master orchestrator prompt that reads supplier data, divides work into parallel batches, and collects consistent output across all of them
- You'll verify that all output files are correctly produced and know how to spot and fix the most common orchestrator mistakes
- Plain English, no code: the course treats Claude Code as a procurement tool, not a developer environment
Protect your data and build workflows you can trust
- You'll set read-only rules that protect your source files before any automation touches them
- You'll build the habit of verification after every sub-agent run, so your outputs are audit-ready, not just plausible-looking
- These practices translate directly into 'built and maintained reliable AI-powered procurement workflows' on your CV
Finish this course and you can do all of this, no prior background required:
- You'll be able to run supplier scoring across large supplier bases using isolated sub-agents, producing consistent output that does not degrade as volume grows, exactly the kind of AI-enabled evaluati
- You'll be able to identify context contamination before it corrupts your output, and redesign the workflow to prevent it, a troubleshooting skill that sets you apart from people who just prompt and ho
- You'll be able to write orchestrator prompts that divide procurement work into parallel batches, brief each worker correctly, and collect verified results, replacing manual repetition with a repeatabl
- You'll be able to embed data-protection rules inside sub-agent task prompts so your source files are never modified by automation, a governance practice procurement leaders and auditors both care abou
- You'll be able to verify sub-agent output systematically after every run, making your AI-produced procurement artefacts reliable enough to share with stakeholders and stand behind in a review.
- You'll be able to demonstrate a working procurement execution model with real output files as portfolio evidence, not just a certificate, which is what differentiates your application from the other c
19 lessons, 4 chapters
Built from real implementation work
Every agent, skill file, and dataset is drawn from 25+ years and 50+ Oracle ERP implementations across pharma, manufacturing, semiconductor, and distribution.
Kept current with the stack
Claude Code, skills, and MCP move fast. Your licence includes every system update for as long as you're subscribed, so what you build keeps working as the tools change.
You copy supplier data into a spreadsheet, score it by hand, and repeat the whole thing next quarter with a slightly different template. When a colleague asks how you got the numbers, you walk them through it line by line, because nothing is written down or repeatable. Job postings for senior procurement roles now list AI workflow experience as a requirement. You know Claude can help, but one long prompt across fifty suppliers gives unreliable output, and you have no framework for making it consistent. This course gives you that framework.
What you'll be able to do, module by module
Every module leaves you able to build and run something real. Here is the syllabus, in the order you work through it.
Curriculum
4 chapters · 19 lessons
Course Materials
You can locate and load the correct data files for each lesson, including the supplier datasets used by the Orchestrator, Guardian, and Pipeline Automator exercises, so every hands-on session starts from the right folder with the right inputs.
Data Files1 item
- Data files for the lesson: The Orchestrator🔒
Core Modules
You can design, launch, and verify a multi-agent procurement workflow: choosing between sequential and sub-agent approaches using a five-factor framework, embedding rules correctly inside task prompts, orchestrating parallel supplier scoring batches, and producing consistent auditable output at any
The Orchestrator6 items
- When Sub-Agents Are the Right Design🔒
- The Task Tool🔒
- Designing the Orchestrator🔒
- Designing the Worker: Narrow Scope and Structured JSON Output🔒
- State Handoff: JSON Outputs That Aggregate Without Re-reading🔒
- Failure Handling: Detecting Malformed Output and Recovering🔒
The Guardian6 items
- The Four Hook Types🔒
- Writing the Validation Hook🔒
- Writing the Audit Hook🔒
- The Risk Alert Hook🔒
- Hook Error Handling🔒
- Integration Test🔒
The Pipeline Automator6 items
- Stop Hooks🔒
- Notification Hooks🔒
- Tiered Notification Router🔒
- Slack Webhook Integration🔒
- Complete Nightly Slack🔒
- End-to-End Test🔒
Procurement teams are hiring people who can build systems as well as run spreadsheets. In an interview you can demo a working multi-agent supplier scoring workflow that you built yourself. Paired with your category or sourcing experience, it shows you can connect procurement knowledge with AI execution and explain how the numbers were produced.
From subscribing to running your first artifact
Subscribe and access the course materials
Once you subscribe you get immediate access to the course, including the data files pre-built for each lesson: supplier master files, batch input data, and practice folders ready to use. No setup beyond downloading the files and having Claude Code available.
Open Claude Code and follow the lesson
Each lesson tells you exactly which folder to open, which command to run, and what to paste at the Claude prompt. You are not writing code: you are issuing procurement instructions to an AI that executes them. The first hands-on exercise has you scoring three suppliers in a live session before the lesson is halfway through.
Build and verify your first orchestrator
By the end of the core modules you will have run a real orchestrator that launches parallel sub-agents, collects their outputs, and saves verified result files to disk. Those files are your portfolio: working artifacts from a real procurement automation workflow, not a slide deck.
Scoring 50 raw-materials suppliers without contamination
Identify the scale problem before you start
You have 50 raw-materials suppliers to score against quality, delivery, and spend criteria this quarter. You know from the course that running all 50 in one Claude Code session will accumulate hundreds of thousands of tokens and risk blending figures from one supplier's scorecard into another's. You use the five-factor decision table to confirm: 50 independent items, same template, no cross-item comparison needed at this stage. Sub-agents are the right design.
Write the orchestrator prompt with the rule inside it
You open Claude Code from the correct practice folder and write an orchestrator prompt that reads your supplier master CSV, divides the 50 suppliers into batches, and launches a sub-agent for each batch. Critically, you embed the read-only rule and the output path inside the task string for every sub-agent, not as a parent session instruction. You have learned that a sub-agent only sees the memo, so every constraint goes in the memo.
Run the orchestrator and let the sub-agents work in parallel
The orchestrator launches each batch as an isolated worker. Each sub-agent starts with a clean context window, sees only its assigned suppliers and the shared file system, and cannot contaminate the others. You watch the batch output folder populate with individual scorecard files as each worker finishes.
Verify every output before it leaves your desk
You ask Claude to confirm that all 50 scorecard files are present, that each file contains only the figures for its named supplier, and that no source data files have been modified. This verification step is a habit built in the course. You catch one sub-agent that wrote to the wrong output path and rerun that batch only, rather than the whole job.
Deliver consistent, auditable output to the category team
You share the verified scorecard files with the category team. Every scorecard was produced by an isolated worker following the same template, with no manual copying between them. When a stakeholder asks how you produced the scores, you can describe the process, point to the output files, and rerun it next quarter with updated data. That is a procurement execution model, not a one-off exercise.
The toolkit you'll build and run in this program
You leave with working assets, not notes.
Real things you can demo in an interview.
A working orchestrator prompt that splits supplier data into parallel batches and collects verified output, ready to adapt to your own supplier base
Batch output files from real supplier scoring runs, produced in the course exercises and usable as portfolio evidence in interviews
A five-factor decision framework for choosing between sequential and sub-agent approaches, documented in your own words from the lesson
A task prompt template with embedded rules, data paths, and verification steps that you can reuse across different procurement automation tasks
A personal habit of post-run verification built through repeated practice, so every workflow you build produces output you can stand behind
You'll get the most from this if
Procurement professionals who run supplier evaluations, RFx processes or category reviews by hand and want to automate the repetitive parts without hiring a developer
Supply-chain analysts who already use Claude or other AI tools now and then, and want to build a workflow that runs the same way every time and that they can show a hiring manager
Buyers and category managers who want AI workflow skills on their CV and working artefacts they can open in an interview
Students and early-career professionals in procurement or supply chain who want hands-on AI automation skills before their first role
Yearly plan: 14-day keep-the-system guarantee
14-day refund on the yearly plan. Finish the first two modules, and if you haven't run your first live pipeline, take a full refund.
Straight answers before you subscribe
What does a procurement operating model mean in this course?
Here it means the procurement work you repeat, such as supplier evaluations, built in Claude Code so it runs the same way each time. You learn orchestration design, sub-agent isolation and verification habits. That way scoring fifty suppliers doesn't depend on one long prompt that gives different answers on different days.
Do I need any coding or technical background to do this course?
None at all. The course is designed for procurement and supply-chain professionals, not developers. Every lesson tells you which folder to open, which command to run, and what to paste at the Claude prompt. You give procurement instructions in plain English. The first hands-on exercise walks you through each step one at a time, and the free preview lesson lets you see this for yourself before you pay.
Will this work with my current setup? I am not sure I have Claude Code installed.
The course uses Claude Code, which you install separately from Anthropic. The course materials and data files come as downloadable folders, so there is no complex environment to configure. If you can open a terminal and follow a cd command, you have everything you need. Daily live sessions and mentor review are there if you get stuck on setup.
What if I start the course and it is not right for me?
Refunds depend on the plan. The yearly plan has a 14-day full refund. In India every plan is a one-time pass that isn't refunded, but it never renews without you, and you can try a free lesson before you buy. The refunds page has the full policy.
How does the course stay current if Claude Code changes?
The course is updated when the underlying tools change in ways that affect the lessons. As a subscriber you get the updated materials automatically. The ideas you learn (orchestration design, sub-agent isolation, verification habits) hold up through minor interface changes, so an older version of a lesson is still useful.
Can I use the workflows and output files I build in this course in my actual job?
Yes. The artefacts you produce during the course (the orchestrator prompts, the batch output files, the task prompt templates) are yours to use, adapt and demonstrate. There is no restriction on applying what you build to your real procurement work. The course is hands-on from lesson one so that what you build in the exercises is useful outside them straight away.