From Reading the AI Stack
For procurement teams building ai literacy; workshop and training delivery
AI Literacy for Procurement
AI Literacy for Procurement is 20 decks totalling 939 editable slides. Each deck stands on its own and downloads separately, so you can take the one you need for Monday's session without wading through the rest.
Built for Procurement teams building AI literacy; workshop and training delivery.
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What’s in this toolkit
8 decks, 376 editable slides. Download them individually or take the lot.
1/5
Applied Practice
Deck 13AdvancedPlaybookThe One Week Spend Analysis
Run a Monday-to-Friday spend sprint and put a real saving in front of a CFO on the Friday.
A Monday to Friday sprint that finds real savings, including how to handle the unclassified majority of spend.
47 slides
Checking1/5
Applied Practice
Deck 14AdvancedPlaybookContract Intelligence and Risk
Extract clauses, validate the flagged ones with Legal, and get alerted inside the notice window.
Clause extraction, legal validation and a renewal calendar that alerts inside the notice window rather than after it.
47 slides
Checking1/5
Applied Practice
Deck 15AdvancedBriefingAI Across the Sourcing Cycle
Map your sourcing cycle stage by stage into where AI helps and where the human decides.
Where AI accelerates the sourcing cycle and where the human decides, named stage by stage.
47 slides
Checking1/5
Applied Practice
Deck 16AdvancedReferenceAI Economics and Total Cost of Ownership
Decompose a vendor quote against raw economics and negotiate from what sits underneath it.
The Iceberg Method for decomposing a vendor quote against raw economics and negotiating from what sits underneath.
47 slides
Checking1/5
Governance and Scale
Deck 17AdvancedReferenceGoverning AI, Decision Rights
Set three tiers of decision rights, and avoid the backlog that over-conservative tiering creates.
Three tiers of decision rights instead of a policy binder, including the failure that shows up first in practice.
47 slides
Checking1/5
Governance and Scale
Deck 18AdvancedReferenceAI Security and Compliance
Add eight questions to your vendor assessment and score the answers against an evasive seller.
Eight questions to add to every AI vendor assessment, with the regulatory exposure quantified.
47 slides
Checking1/5
Governance and Scale
Deck 19AdvancedReferenceFillableBusiness Case and Pilot Selection
Baseline before you claim, so your accuracy number survives a CFO's first question.
Score it before you build it and baseline before you claim it, so the number survives a CFO's first question.
47 slides
Checking1/5
Governance and Scale
Deck 20AdvancedPlaybookThe 90 Day Team Transformation
Build a twelve-week plan that keeps the capability in use after the training ends.
The capability plan for after the training, with a worked example of one team's twelve weeks.
47 slides
Checking
How this toolkit is built
Not a description of the toolkit. The actual shape of what’s inside it, drawn from the decks themselves.
Objectives
This Toolkit includes frameworks, tools, templates, tutorials, real-life examples and best practices to help you:
Foundations: 5 decks: Reading the AI Stack; Tokens, Context and Model Mechanics; How LLMs Actually Think; Choosing and Managing a Model Portfolio; Automation, GenAI and Agents.
Grounding and Data: 4 decks: RAG and Grounded AI; Prompt, Ground or Tune; Connecting AI to the ERP; Data Readiness Sprint.
Skills: 3 decks: Prompting Mastery for Procurement; Agents and Multi Agent Systems; Evals, The Trust Discipline.
Applied Practice: 4 decks: The One Week Spend Analysis; Contract Intelligence and Risk; AI Across the Sourcing Cycle; AI Economics and Total Cost of Ownership.
Governance and Scale: 4 decks: Governing AI, Decision Rights; AI Security and Compliance; Business Case and Pilot Selection; The 90 Day Team Transformation.
Questions about AI Literacy for Procurement
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“Imagine having a team of experienced AI practitioners at your disposal to help you ship AI products and modernize your operations. How much more confident would you be about your organization’s AI journey — and your own career?
Most teams facing AI for the first time start from a blank page. They rediscover the same frameworks, make the same avoidable mistakes, and burn months building materials that already exist elsewhere. Specialist consultants can help, but at day rates most budgets can’t sustain.
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Whether you’re a product manager shipping your first AI feature, a procurement leader modernizing source-to-pay, or a supply chain executive building an AI roadmap, you can now leverage structured, field-tested material without breaking your budget.”
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Examples of projects done with our Toolkits and Experts
AI Product Strategy
Defining a two-year AI product strategy for a B2B SaaS platform, resulting in three funded product bets and a 30% increase in expansion revenue within 18 months.
Use Case Portfolio
Running enterprise-wide AI use-case discovery for an industrial group, producing a scored portfolio of 60+ use cases and a funded first wave of 8 pilots.
GenAI Feature Launch
Guiding a marketplace team from PRD to launch of an AI assistant, reaching 40% weekly active adoption within one quarter.
AI Governance
Standing up an AI review board and tiered risk framework for a financial services firm ahead of EU AI Act enforcement.
Procurement AI
Deploying AI spend classification for a global retailer, uncovering $25M in addressable savings across 4 categories.
Demand Forecasting
Piloting ML demand forecasting for a CPG company, cutting forecast error by 18% and safety stock by 12%.
Supplier Risk
Designing an AI-assisted supplier risk monitoring program covering 2,000 suppliers with automated tiering and alerting.
Control Tower
Blueprinting a supply chain control tower for a logistics provider, reducing exception resolution time by 35%.
AI Academy
Launching a role-based AI academy for an operations function of 1,500 people, with 85% completion in six months.
Contract Intelligence
Implementing clause-extraction workflows for a legal-procurement team, cutting contract review time by 50%.
S&OP Upgrade
Embedding forecast-value-added analysis into S&OP for a manufacturer, aligning demand plans across three business units.
Operating Model
Designing a hub-and-spoke AI operating model for a services group, clarifying decision rights across 5 business lines.