
Howdy wizards,
Hereβs whatβs brewing in AI.
Which KPIs do companies measure for their GenAI use cases?
A pre-requisite for implementing GenAI strategically is tying it to business outcomes.
Thatβs why Iβve recently added KPIs to Context Windows.
It shows you how 2,000+ companies measure some of the best performing AI use cases (all from the last 24 months).

If you enjoy this chart, Iβd be delighted if your share it with your colleagues β it helps me out a lot. Also, donβt miss the interactive version I made.
Nowβ¦
As you can see from the chart, time saving is the top way companies measure the benefits from AI, across use cases.
And thereβs one AI tool that keeps saving me time and making my life simpler every week. Whenever I have a meeting, I simply write short bullets and keywords during the conversation β and it comes back with a refined, tailor-made summary + next steps for me.
Thereβs really no better note taker than Granola (this weekβs sponsor):
IN PARTNERSHIP WITH GRANOLA
You know that feeling when you leave a meeting and immediately forget half of what you agreed to?
That's not a memory problem. When you're back-to-back all day, there's simply no time to process. No time to write the follow-up.
Granola helps you become the person who actually does what they said they'd do.
You take notes during the meeting. Just quick bullets, nothing formal. Granola transcribes in the background and turns those notes into clear summaries with actual next steps.
No more "wait, what did we decide?" moments. Just clarity. And follow-through.
Free month with the code WHATPLUGIN
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Having the right measurement for your AI projects is key.
But another thing KPIs are good for is benchmarking.
Especially in a space like AI with so much novelty and transformative ways to do things, itβs timely to ask not only what measurement is the best, but also: what does good performance look like?
Thatβs why Iβve created full KPI breakdowns under each use case listed on the platform.

Companies who implemented Agentic Customer Service report median resolution rates of 75%, deployment times of less than 2 months, 100%+ ROI and 115h/month in time savings.
With KPI breakdowns, you see the typical performance of a given GenAI use case, based on other companies that have had success with it.
Useful context for deciding what to prioritise, for a pitch, managing expectations, and more.
You can sample the KPIs for the highest-performing use cases with my free GenAI use case tracker.
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Would be excited to know what AI projects you or your company is currently working on, and if you find these KPIs helpful. Just reply or leave a comment in the poll below.
You are a delight.
Dario
What's your verdict on today's email?
Know which AI use cases are paying off β with Context Windows Pro
Most companies pick AI use cases by brainstorming internally. 90% of those initiatives fail.
Iβve created Context Windows just so you can pick the winners.
π¦ Subscribe to Pro to find high-performing use cases by industry, from 2,000+ companies. Visit contextwindows.ai or book a demo with me.
Disclosure: To cover the cost of my email software and the time I spend writing this newsletter, I sometimes work with sponsors and may earn a commission if you buy something through a link in here. If you choose to click, subscribe, or buy through any of them, THANK YOU β it will make it possible for me to continue to do this.

