AI Use Case Library for Mid-Market B2B

Open the AI Use Case Library

It documents AI implementations inside real companies, with the details:

who did it

with what tools

how long it took

what it returned

Tell me who you are and your role

Hi! I'm Ekaterina. I run product discovery and AI strategy for B2B companies. If you want to talk about what's happening in your company, contact me.

The most prominent enterprise AI use cases worth your attention.

80 documented implementations inside real companies: who did it, with what tools, how long it took, and what it returned. 12+ months of research, primary vendor sources, 2024–2026.

How to read this library: the 80 cases are a menu.

Pick what makes sense and is beneficial for your business. Start from your own friction: something slow, something expensive, something that breaks every week, something people already avoid doing in their workflows.

Keep only the cases that address one of those, and keep the rest for later.

The timelines assume clean data, a written process, and an owner on your side. If something is missing, you might need to be ready to get ready first.

Before starting anything, define the metric: this pilot moves [metric] from [current] to [target] by [date], with an owner.

Many things can be done. Pick only what is important, and start with one.

Nothing matches these filters. Loosen one and try again.

What this library does not tell you

Public case studies skew vendor-friendly and often bundle several workflows into one story. Where a story emphasized adoption instead of results, the ROI column says “-”: we did not invent a number.

Customer service, sales copilots, and software engineering are overrepresented in public sources. Finance back office, legal and compliance in non-tech firms, and mid-market manufacturing operations are underrepresented. The market is rich in “AI answers questions faster” and much weaker in “AI closes the books” with public hard numbers.

The selection is intentionally biased toward workflows transferable to a 50–250 person company, over brand prestige.

Want to talk about your own use case?

Hi! I'm Ekaterina. I run product discovery and AI strategy for B2B companies, finding the use cases that pay for themselves. If you want to talk about what's happening in your company, book a call with me.

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