dmasin.bsky.social (@dimitrimasin) 's Twitter Profile
dmasin.bsky.social

@dimitrimasin

co-founder @ gradient-labs.ai

ID: 119300835

linkhttps://uk.linkedin.com/in/dimitrimasin calendar_today03-03-2010 06:58:44

77 Tweet

351 Followers

276 Following

Making Monzo (@makingmonzo) 's Twitter Profile Photo

🗣 “​​One of the most rewarding parts about Data Science at Monzo is being able to really get stuff done" Hear what one of our Monzonauts has to say about using Data to improve the Customer Support experience 👀 medium.com/data-monzo/aut…

dmasin.bsky.social (@dimitrimasin) 's Twitter Profile Photo

Online petition to Germany to vote for Russia's exclusion from SWIFT network. Please support Ukrainians if you have 2 minutes time. openpetition.eu/petition/komme…

dmasin.bsky.social (@dimitrimasin) 's Twitter Profile Photo

We are working on changing that perception Tom Blomfield ;-) Here an example of customer interaction with our AI customer support agent. In general I agree though, customers are pretty annoyed with bad AI bot interactions (rightfully so).

We are working on changing that perception <a href="/t_blom/">Tom Blomfield</a> ;-)
Here an example of customer interaction with our AI customer support agent.

In general I agree though, customers are pretty annoyed with bad AI bot interactions (rightfully so).
dmasin.bsky.social (@dimitrimasin) 's Twitter Profile Photo

I suck at selling 😱 Just spoke with a prospect and they said, 'We thought we needed a car, but you’re selling a plane—and we probably DO need a plane.' It sounds like praise, but I clearly failed to convey the value in the initial message. How do I fix that? Thoughts?

dmasin.bsky.social (@dimitrimasin) 's Twitter Profile Photo

When humans mess up it's one thing. When AI fails, it's a completely different matter. #1 question our clients ask ➡️ How do you make sure your AI doesn't f*** up? Basic LLMs + RAG agents are indeed risky. Our vision: AI CX agents that handle conversations end-to-end—flawlessly

dmasin.bsky.social (@dimitrimasin) 's Twitter Profile Photo

Companies launch customer support automation and see close to 0 savings in FTE. Why? 🤔 Automating simple tickets, that take minutes for humans to respond, doesn't move the needle. Value lies in AI capable of handling complex, nuanced cases—going beyond the HC articles 🤖

dmasin.bsky.social (@dimitrimasin) 's Twitter Profile Photo

Customer support ops is like an iceberg 🧊: visible part (25%) is frontline support, while the hidden 75% is manual, repetitive back-office tasks 🛠️. They're connected & ripe for transformation. Unlocking automation can redefine efficiency & CX #AI #CustomerSupport

dmasin.bsky.social (@dimitrimasin) 's Twitter Profile Photo

Traditional tools like Zendesk can take 4 hours 😱 to build a single workflow for AI support automation. But what if you didn’t need workflows? With procedural AI, you can train agents to follow instructions in plain English—in just 10 minutes. Ready for the future of support? 🤖

dmasin.bsky.social (@dimitrimasin) 's Twitter Profile Photo

Foundational AI models continue to improve, but differentiation will ⬇️ Real battleground? AI agents that ✅ Have early-mover advantage / unique data access ✅ Integrate w existing workflows ✅ Offer an exceptional UX It’s not about the model. It’s about the best product 🔥 #AI