Consumer enterprises have millions of customer support tickets annually. They need to constantly evaluate support agents’ performance and compliance. Typically they evaluate less than 5% of those interactions manually which is slow, expensive and not scalable. Intryc's AI can evaluate 100% of all customer interactions, in real time, at half the cost.
Co-founder and CEO of Intryc. Previously led Customer Success in Northern Europe for Confluent, overseeing $40M+ in ARR across strategic customers. Worked closely with Confluent's executive team to define everything that touches landing, onboarding, expanding, and renewing customers. Before that, first Enterprise Customer Success Manager in EMEA for Navan (fka TripActions) establishing the EMEA first team and presence.
Co-founder and CTO at Intryc. Built the first core banking platform at Revolut; contributed to NLU projects at Alexa/Amazon and AR projects at Meta/Instagram.
Co-founder and CPO of Intryc. Previously, #1 employee at Pledge (data science and engineeering), led fraud detection at Revolut (ML models, algorithms and operations).
Hi everyone, we’re Alex, George, and Dimi!
We are ex-Meta, Amazon, Revolut, and Confluent engineering and GTM folk who have spent more than 7 years improving the customer experience in companies like Meta, Amazon, Revolut, Confluent, and Navan. We decided to build Intryc with the mission to centralize and automate the repetitive, error-prone, and manual tasks in the Support QA process to free up the time of CX teams so they can focus on what really matters to them - their customers and business goals.
tl;dr
Intryc uses AI to automate Quality Assurance for customer support. Customers like Deel.com centralize and automate parts of their Quality Assurance on Intryc to ensure agent compliance, double QA productivity, reduce costs by 50%, and prevent negative customer interactions while collecting actionable product and customer insights.
The Problem
Quality assurance for customer support is vital in regulated sectors like banking and utilities. Millions of customer inquiries must be handled and evaluated consistently and accurately to avoid regulatory non-compliance and brand reputation damage. This process is typically run manually by internal teams that still rely on outdated systems or spreadsheets to review and evaluate customer interactions. Even the most efficient QA teams can evaluate less than 5% of total tickets, leaving millions of interactions unreviewed and risking regulatory compliance, reputation damage, and increased customer churn.
The Solution
Intryc’s AI-powered solution automates the manual, repetitive, and error-prone tasks of the QA process, integrates with knowledge bases and data sources, such as help desks and CRM systems, to streamline the entire process end-to-end and allows organisations to scale their Support QA, without the scaling costs!
https://www.youtube.com/watch?v=eqIx1bnzEGk
What Intryc offers:
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💥 The Deal
Inbound from the YC network will get a 50% discount. Email alex@intryc.com to redeem the deal!