From AI Business Case and Investment Ask
For product managers and leaders running ai products
AI Product Leadership
AI Product Leadership is 20 decks totalling 842 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 Product managers and leaders running AI products.
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What’s in this toolkit
3 decks, 130 editable slides. Download them individually or take the lot.
1/5
Executive
LDR03AdvancedTemplateFillableAI Metrics and Health Dashboard Review
Choose the metrics that show an AI product is healthy, and drop the ones that only look like they do.
The metrics that show whether an AI product is healthy, and the ones that only look like they do.
43 slides
Checking1/5
Executive
LDR06AdvancedTemplateFillableBoard-Level AI Narrative
Brief a board on an AI programme at the altitude it actually needs.
The board narrative for an AI programme, pitched at the altitude a board actually needs.
43 slides
Checking1/5
Executive
LDR18AdvancedTemplateFillableResponsible AI and Risk and Compliance Review
Evidence the responsible AI controls a reviewer will actually ask to see.
The responsible AI review, covering risk, compliance and the controls that have to be evidenced.
44 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:
Decision and Investment: 3 decks: AI Business Case and Investment Ask; Build vs Buy vs Fine-tune Decision; Vendor and Model Selection Scorecard.
Discovery and Definition: 4 decks: AI Feature One-Pager and Opportunity Pitch; AI PRD; Data Requirements and Readiness Assessment; Prompt and Context Change Proposal.
Executive: 4 decks: AI Metrics and Health Dashboard Review; Board-Level AI Narrative; Executive AI Strategy Update; Responsible AI and Risk and Compliance Review.
Planning: 3 decks: AI Product Roadmap; Capacity and Cost Forecast; Quarterly Planning (OKRs) for an AI Product.
Market: 2 decks: Competitive and Market Landscape Brief; Go-to-Market Deck for an AI Feature.
Delivery: 4 decks: Incident and Quality Postmortem; Launch Readiness Review; Model Evaluation Readout; Sprint and Experiment Review.
Questions about AI Product Leadership
Benefits of our AI Toolkits
Accelerate your AI initiatives with frameworks and processes distilled from real AI product and transformation work.
Make a great investment in your career. Thousands of hours of expert work, available for a fraction of the cost of building it yourself.
Get a competitive advantage. It's like having a senior AI practice team create every framework, tool and template you need.
Get the job done quicker and never start from a blank page again with ready-made, fully editable PowerPoint and Excel.
Don't reinvent the wheel. We have already done the research, structuring and design work across the AI product and operations lifecycle.
Upskill your whole organization with 101 guides and training decks your teams can run tomorrow morning.
Get free support and advice from our AI practitioners when you need help applying a toolkit to your context.
Decrease your costs. Hiring specialist consultants for the same work would cost many times more than a year of the whole library.
Become your organization's AI subject-matter expert and impress your stakeholders with world-class approaches to AI problems.
The U2xAI Team
AI practitioners, product leaders & operations experts
Our Story
“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.
We created U2xAI Frameworks to close that gap: comprehensive, fully editable toolkits that package the frameworks, processes, 101 guides and how-tos we use in real AI product and transformation work — at a price any professional can justify.
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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Need additional help on top of our AI Toolkits?
Hire senior AI practitioners to apply the toolkits to your organization
Ex-Big-4 AI Strategy Lead
15 years of experience
Former Head of AI Product, Fortune 500
12 years of experience
Ex-tier-1 Consulting, Supply Chain AI
14 years of experience
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.