| ▲ | jimbokun an hour ago | |||||||
Here's what I found most interesting in the Customer Stories: > 4.3 Non-billable hours recaptured per lawyer weekly, in an independent study of 31 firms -Legora > 24→5 days Working days for new feature time to market -Rakuten > 2x Quarter over quarter productivity gains (estimated 8.1 million hours annualized) -Salesforce The rest are pretty fuzzy/fungible (percentage of employees "using" Claude etc.). But these claims potentially show real, measurable productivity value (assuming they're true and measured accurately). | ||||||||
| ▲ | levi-turner 33 minutes ago | parent | next [-] | |||||||
My vantage point as a technical seller at the margins of this space: Outside of software development, the productivity argument is a challenge to CFOs / Finance / Procurement. The ship has sailed when it comes to friction free AI purchases. Buyers need to articulate why productivity will adjust the trajectory of top line or bottom line metrics for the business. | ||||||||
| ▲ | cromka an hour ago | parent | prev [-] | |||||||
> (assuming they're true and measured accurately). Precisely, because TTM doesn't tell the full story about the potential shifts in quality of the work. I don't refer to vibeslop here, to be precise, just the additional followup work required on those features released faster, which always happens but with AI it may or not happen more often. | ||||||||
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