Business examples, customer research, and the economics behind a product or service. Vendor case studies are identified; none is a promise of earnings.
Market research, business-plan examples, startup costs, and break-even planning in one reference. Use it to define a customer and a deliverable before investing in an AI service.
Good for Validating a service or product idea
Compare subscriptions, usage-based billing, tiers, and hybrid models. Useful for a software product whose model and support costs change with customer usage.
Good for Pricing an AI software product
Commercial guidance from a payments provider; adapt the examples to your own costs and customer research.
A vendor case study on splitting email assistance into smaller jobs, testing drafts against real tasks, and using edits as feedback. Useful product-design lessons; retention and revenue figures are company-reported.
Good for Studying a focused subscription product
A September 2026 case study of legal drafting with source context and lawyers’ preferences. Read it for how a specialist product organizes documents and review; the claimed improvements are reported by the vendor.
Good for Understanding a vertical software business
Vendor account, not independently audited business results. Professional applications require appropriate expertise and review.
The 2026 report brings together evidence on AI adoption, investment, capabilities and governance. Use the data and methods to test a market story; aggregate trends do not prove demand for your particular service.
Good for Checking a market story against broader evidence
A practical approach to comparing AI use with delivery time, quality and business outcomes. Includes review and correction time, setup and support costs; its ROI example is illustrative, not a measured earnings result.
Good for Evaluating a workflow before expanding it
Useful for team leads and service providers. The product walkthrough uses ChatGPT administrator analytics; verify access in your plan.
A guide to setting a monthly project spending ceiling that pauses resources when reached. Useful for experiments that create cloud infrastructure; compare a real stop with a notification-only budget alert.
Good for Containing cloud costs during agent experiments
Limited customer rollout; requires a Paid Plan and project-owner access. Minimum cap is $20 or a higher usage estimate, before tax. Pausing interrupts services; after 90 days without action, paused project data is permanently deleted. Optional early controls can also block new resources or pause idle or high-cost resources before the ceiling.
Twelve practices for financial institutions adopting AI, from accountable leadership and documented uses to oversight and outside-provider risk.
Good for Teams building AI for financial services
Read the introduction and twelve-practice summary first. Non-binding guidance, not certification; local obligations still apply. Agent-specific practices remain nascent. We reviewed the introduction and summary, not all case studies.
An overview of AI adoption, local needs, infrastructure and supplier dependence in developing economies. A broader lens for judging where an AI service could be useful.
Good for Assessing local needs and adoption constraints
Start with the main messages, then a relevant chapter. We reviewed the overview, not the full report; projected benefits are not guaranteed and policy recommendations are the Bank’s own.
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“Checked” means we reviewed the linked source, not that we tested every tool or completed every course. Availability and prices can change.
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