Humint Labs® + LivePerson
LivePerson has been innovating connections between brands and consumers for more than 20 years.
Conversational Commerce at Scale
LivePerson has been innovating connections between brands and consumers for more than 20 years. Today they’re driving the conversational era by helping the world’s largest brands connect with their customers at scale through AI-powered messaging. LivePerson’s intent-driven methodology infused with Humint Labs’ human-centric philosophy gives us an edge to deliver memorable experiences.
AI-powered messaging across every consumer channel
Intent-driven automation with human-centric design
Conversational commerce that drives real transactions
How We Help with LivePerson
Our expertise in conversational AI combined with LivePerson’s Conversational Cloud platform delivers end-to-end customer engagement solutions.
Conversational Commerce
90% of consumers start shopping online, but less than 15% complete purchases. Conversational commerce bridges this gap — enabling questions, advice, and transactions within messaging channels.
Customer Care Automation
8 out of 10 consumers prefer messaging over voice for support. We design AI-powered messaging experiences on SMS, WhatsApp, Facebook Messenger, and web chat.
Intent-Driven AI
LivePerson’s intent detection identifies what customers want in real-time, routing conversations to the right bot or agent with full context for faster resolution.
Conversational Cloud Platform
A unified platform for managing AI-powered conversations across messaging, voice, and social channels — with analytics, reporting, and workforce management built in.
Frequently Asked Questions
Your Guide to Enterprise AI
Generative AI, LLMs, AI Workflows, AI Agents & Agentic AI: a practical guide for executives navigating enterprise AI adoption.
Read the GuideCase Studies
Industry: Healthcare
Triage support that gathers and escalates; a clinician decides
The design question was never how much of triage could be automated. It was which part of it must never be, and how the system behaves at the edge of what it is allowed to do.
Read moreAutomated regression harness for retrieval-grounded agents
A change to a prompt, a retriever or a base model can quietly break an answer that used to be correct. We stopped checking that by hand.
Read more