- Proof of Work: Applied AI Case Studies
- Topics
- case study
case study
How an Acquisitive Manufacturer Collapsed 15 Systems Into One Source of Truth, and How a PE-Backed Distributor Cut Board Packs From Four Days to Four Hours
Case studies from Murali Vivekanandan of Ideas2IT and Yayati Tanwar of Pluto AI, both on giving PE-backed companies a real-time view of their own numbers. Plus the most-read cases in our AI Use Case Library this week.
How an Injection Molding Manufacturer Replaced Days-Long Quoting With Seven-Click Instant Quote, and How a Finance Team Cut Month-End Close From 10 Days to 1
Case studies from Alex Gruebele and Chandler Gonzalez of Tau9 Labs, and Kenny Jen of QuantFi. Plus: more than 180 new cases added to the library last week.
How a $1B Hedge Fund Cut Call Prep From 60 Minutes to 5, and How a Fortune 500 CPG Team Got Every Data Answer Right
Case studies from Jay Singh of Casper Studios and Aanikh Kler of Lazer Technologies, both about getting work out of the analyst queue and trusting the answer. Plus this week's podcast with Jimmy Bijlani.
How a Restoration Firm Turned Its CEO's Negotiating Instinct Into Recovered Revenue on Every Job, and How a 70-Year-Old Manufacturer Cut Engineering Time 60% Without a New Hire
Case studies from Jack Soslow & Jack Weissenberger of Ciridae and Justin Massa & Jason Rubinstein of Remix Partners, both about doing more with the team you already have. Plus both firms' podcast interviews.
How a DTC Brand Proved Paid Search Returns 4x Paid Social, and How a PE Roll-Up Found 40% of Its Work Was Redundant
Case studies from Alex Lirtsman of CorralData and Felix Rösner of Marble, both about seeing what the data was hiding. Plus this week's podcast with Doyl Burkett, Managing Partner of Integrity Growth Partners.
How a Fiber ISP Cleared Its Dispatch Bottleneck, and How Sunrun Found $80M in Hidden R&D Waste
Two more operator case studies this week — Jordan Gurrieri of BlueLabel and Adam Schwartz of Parable — plus my conversation with CorralData's Alex Lirtsman on why most companies are only "data-adjacent," and a new piece on how to tell who's actually good at AI.
