DevRev

We went to Scaler expecting to talk about AI, but we ended up talking about people. Turns out the two are hard to separate. Scaler spends its days teaching people to understand hard problems from the ground up. We spend ours building AI that helps teams get through those problems once they understand them. Different jobs, same mission. Somewhere in a room at Scaler, people are taking things apart just to see how they work. Companies spend fortunes trying to build that kind of curiosity into their culture. Scaler already has it, and it is the best possible foundation to build something with. Early days yet. We will let the work speak for itself. Thank you to everyone at Scaler for the warm welcome and the shared ambition! Amar Srivastava Anshul Sharma Sharma Pankaj Jha Rishabh Gupta Daniel Rojo (BEng, LLB Hons) Snehal Nawal

At Global FinTech Fest in Mumbai, we’re bringing an AI with a better memory than the average group chat. In fintech, moving money can take seconds. Finding the answer when something goes wrong can still involve support, engineering, Slack, and a spreadsheet called 'FINAL_final_v7' Computer by DevRev keeps the thread – customer history, past investigations, product context, and what happened next – so the next person is not starting a fresh excavation every time a question lands. And it is the only AI proven 94.3% accurate – which makes GFF a pretty good place to put it on the spot. Bring us a real question at Booths J12–J15. We’ll be running live demos every 20 minutes, September 9–11. See you at GFF 👋 Neeraj Matiyani Sunil Mahale Murali M. Mohit Patle Renil Mohan

When someone who went from selling brick-sized cellphones to the C-suite at Verizon tells you AI isn’t an IT project, you listen. Meet Tami Erwin – 35 years at Verizon, from rep to CEO; now a DevRev advisor and board member across four public companies. Her point is simple: leaders are getting too caught up in the technology. The real question is, what problem are you trying to solve? Because AI can change how work gets done. But it can’t replace judgment, trust, or the people who make a business work. Here's Tami’s take on leading through AI transformation: bit.ly/4ybRx0f Cristina Prieto Henríquez Laura Fu Tomas Pefaur

Monday morning is a bad time to inherit both an account and a detective case. There’s a customer call on the calendar. The previous owner is in a different time zone. The deck is somewhere in Drive. The last promise is hiding in Slack. And, naturally, there’s an open ticket nobody mentioned. So instead of getting ready for the customer, the new owner spends the morning reconstructing the account. Computer by DevRev changes that. It pulls together the deal history, recent conversations, open ticket, and next commitment into a first-call brief before the meeting. The handover still happens. The scavenger hunt doesn’t. Handovers happen. Starting from zero doesn’t have to and here's how: bit.ly/4h07e4F

The question every CIO is quietly wrestling with: when humans and AI coworkers share an org chart, what actually happens to cost, headcount, and output? At FUSION'26, our CEO and Co-Founder Dheeraj Pandey sits down with Aaron Levie (Box) to get past the hype and into the economics of it. Closing session, September 29th, Palace Hotel, San Francisco. Worth being in the room for ✅

Every product has a safety net that catches bugs before they reach you – a big set of automated tests that check the app still works every time engineers change something. Ours had a problem: the tests often passed even when the app was actually broken. Not a great safety net. So we rebuilt it – and handed most of the work to an AI agent. On this DevRev Live, Ahmed Bashir and Priyadharshan Ravichandran show how the agent now writes these tests on its own, figures out which ones to run, and fixes them when the app changes – so our engineers can spend their time building instead of babysitting tests. Come see how it works, and what we learned along the way.

We are going to Gartner IT Symposium and Xpo on the Gold Coast this September, and we are bringing an awkward truth with us. Most enterprise AI has the memory of a goldfish. Actually, less 🥲 Sounds like a joke until you see the invoice. Ask it today, it nails it. Ask it tomorrow, blank stare. So it starts from scratch every time, slower and less accurate, and since you pay per go, that forgetting quietly lands on your bill. The fix is memory it can build on. Give it that and accuracy holds at 92 to 97 % even when your data grows 256 times bigger. One more thing worth knowing. Real AI does the work. It does not just log the ticket and hand the job back to a human. That is the whole show we are bringing to the Gold Coast from 14 to 16 September. Come find us at Booth 312. Bring your most cynical question. Those are the fun ones 🙌 Sunil Mahale Neeraj Matiyani Ahmed Bashir Paul Daniel Pratik Shanbhag Subash Nambiar

Your customer asks one question. You open six tabs to answer it. The complaint's in Zendesk. The renewal they're sitting on is in HubSpot. The bug that started this is somewhere in Jira. And the thing you promised - "as discussed" - is in a Drive doc. Or Notion. You'll know when you find it. So you dig. And while you're reassembling this person out of six half-loaded tabs, they email again: "any update?" Computer by DevRev already read all of it – the ticket, the deal, the bug, the doc – so when you ask, the whole customer is right there. You answer them before they've finished refreshing their inbox. Everything connects. Computer makes sense of it. Know how: https://dvrv.ai/3SLvnml

We care a lot about what we build. We care just as much about who it's for. Last week, our team took that beyond the product – into a classroom and onto a start line. 🌱 First, Rise and Engineer 💻 – our CSR initiative with Empowerananya foundation and GITW in Bengaluru. We handed laptops to first-generation girl students and spent the afternoon talking careers, engineering, and backing yourself in rooms you weren't always invited into. Thanks to our speakers and panelists inspiring the next generation of women in tech – Amisha Kothari, Swapnika Vijayvargiya, Neha Dixit, Sheetal Mohan, Onkar Dessai - and Mahalakshmi P. for moderating. Then, Green BLR 2.0 🌳 – because impact isn't just what you build, it's what you leave behind. 69 DevRevers laced up at Cubbon Park to run for a greener Bengaluru, where every stride helped put a real sapling in real soil. Turns out our team ships trees as enthusiastically as it ships features. Empowering learners. Restoring canopies. Two very different finish lines, one belief: technology is at its best when it lifts the community around it. Here's to a week that starts with purpose. 💛