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51 Listings in Customer Support AI Available
What is Quiq? Quiq is an enterprise platform for agentic AI that handles complex customer interactions across web, messaging and voice. Its product line spans AI Agents, AI Assistants, Voice AI Agents, AI Workflows, AI Analysts and a Digital Contact Center. Key capabilities of Quiq AI Agents: resolve customer questions across channels AI Assistants: coach human agents in real time Voice AI Agents: hold natural voice conversations at scale AI Workflows: extend AI into business processes AI Analysts: turn conversation data into insights AI Studio: build agents with enterprise guardrails How Quiq works Teams design agents in AI Studio with guardrails, and Verified Intelligence is used to control AI decisions. Agents answer across chat, messaging and phone, hand off to people in the Digital Contact Center workspace, and AI Analysts report on the conversation data. The vendor cites 99.999 percent uptime. Who uses Quiq? Customer experience teams in retail, hospitality, insurance and healthcare. Customers named include Panasonic, Roku, Terminix, Brinks Home and Lululemon. Quiq pricing Quiq does not display prices on its homepage. Pricing is provided through a demo request. Quiq alternatives Ada and Zendesk AI are customer service AI products, Brainfish builds AI knowledge support, and DeepConverse and Alhena AI target support automation. Quiq stresses enterprise guardrails and voice plus messaging.
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What is Certainly? Certainly is an e-commerce AI assistant AI agent offering an AI agent for e-commerce that answers support questions and helps shoppers find products. Founded in 2018 and based in Copenhagen, Denmark, Certainly helps online retailers automate e-commerce AI assistant work and get results faster. Key capabilities of Certainly Order and returns support Product recommendations Brand voice Helpdesk integrations Broadcast campaigns Shared inbox How Certainly works Certainly takes text and product data as input and produces text and actions. It combines large language models with task-specific AI, with the vendor managing prompts, models and updates. It connects to tools such as WhatsApp, Instagram, Facebook Messenger and Shopify, so the agent works inside existing workflows. Who uses Certainly? Certainly is built for online retailers. It suits teams that want order and returns support and product recommendations without adding headcount, while keeping people in control of review and final decisions. Certainly vs Zowie Certainly is often compared with Zowie. Certainly stands out for order and returns support and brand voice. The right choice depends on your workflow, integrations and budget, so compare both on a real task.
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What is Yuma AI? Yuma AI is an AI platform that automates customer service for ecommerce brands. It plugs into your helpdesk and store to resolve support tickets end to end. Key capabilities of Yuma AI Support AI: Handles shipping, returns, refunds, exchanges, subscription changes and product questions. Sales AI: Answers pre-purchase questions and recommends products. Social AI: Manages Instagram and Facebook DMs, comments and reviews. Chat AI: Answers storefront chat with human escalation. Live commerce actions: Issues refunds, processes returns and updates orders. Guardrails: Applies policy limits before a customer sees a reply. Accuracy tracking: Shows confidence scores and error rates. How Yuma AI works Yuma connects to a helpdesk and an ecommerce platform, reads live order data and drafts or sends replies that follow brand policy. Sensitive or complex cases escalate to a human with context. Teams start at 5 to 10 percent of ticket volume, review quality, then expand. Who uses Yuma AI? Yuma is built for ecommerce brands. Case studies cite EvryJewels at 89 percent automation, Javvy Coffee cutting response time from 24 hours to 12 minutes, and Glossier at 91 percent accuracy on shipping tickets. Yuma AI pricing Yuma does not publish prices on its site. Third-party sources report quote-only pricing that is tied to resolutions, with figures from $350 to $1,200 per month cited. Treat those numbers as estimates and request a quote. Yuma AI alternatives Alternatives include Ada, which automates support across channels, Forethought, which resolves tickets for enterprise teams, and Wonderchat, which builds chatbots from your content.
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What is Five9 Genius AI? Five9 Genius AI is the AI suite inside the Five9 Intelligent Cloud Contact Center. Third-party sources describe three parts: Five9 Virtual Agent, Five9 Agent Assist and Five9 VoiceStream. The Five9 product page was not reachable during review, so details come from third-party coverage. Key capabilities of Five9 Genius AI Intelligent Virtual Agent: Handles common customer calls without a live agent AI Agents: Handle informational, actionable and multi-step agentic interactions Live transcription: Converts speech to text during calls Next-best actions: Suggests responses, knowledge articles and actions in real time Appointment and order tasks: Examples include scheduling and order status checks VoiceStream: Streams call audio for AI use How Five9 Genius AI works Callers reach a virtual agent that resolves routine requests, from informational answers to scheduling and order checks. When a live agent takes over, Agent Assist transcribes the call and recommends next-best actions and knowledge. Third-party reviews say all Five9 plans include 3,000 AI minutes per seat for transcription, summaries and insights. Who uses Five9 Genius AI? Contact centers that run on Five9 and want self-service automation plus real-time guidance for human agents. Five9 Genius AI pricing Reviewers report Genius AI is not standalone and requires a Five9 contact center bundle, with starting prices around $119 per user per month for Digital and $159 for Core. Virtual Agent and AI Agents carry usage-based or quoted add-on fees. These are third-party figures, not vendor-confirmed. Five9 Genius AI alternatives Alternatives include NICE CXone for contact center AI, Genesys Cloud CX for AI-assisted routing and agent help, and Talkdesk for AI-driven customer experience.
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What is LivePerson? LivePerson is an enterprise conversational AI platform that lets businesses design, test and improve interactions handled by AI agents and human agents across messaging and voice channels. SoundHound AI completed its acquisition of LivePerson on September 4, 2026. Key capabilities of LivePerson Conversational Cloud: platform for AI and human customer conversations Syntrix: simulates customer interactions to validate AI agents before launch Conversational Intelligence and Insights: analytics on conversation quality Generative AI tools: LLM-assisted productivity features Open platform: bring your own LLM Voice and messaging: unified omnichannel communication How LivePerson works LivePerson routes each conversation between AI agents and human agents across digital channels, lets teams bring their own LLM, and uses simulation to test agents before they reach customers. The vendor says the platform handles over 1 billion messages a month. Who uses LivePerson? Large enterprises in financial services, retail, travel, healthcare, telecom and automotive. Named customers include Bankwest, Burberry, HSBC, PNC, Zurich Insurance and CarGurus. LivePerson pricing LivePerson does not publish pricing on its main site, and enterprise contracts are quoted individually. LivePerson alternatives Cognigy and Verint are conversational AI and customer engagement platforms, Moveworks handles employee support automation, and Watermelon and SiteSpeakAI are lighter chatbot tools.
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What is DevRev? DevRev is a native support AI agent offering an AI-native platform linking support, product and engineering with a shared knowledge graph. Founded in 2020 and based in Palo Alto, California, USA, DevRev helps B2B SaaS companies automate native support work and get results faster. Key capabilities of DevRev AI ticket resolution IT service desk Enterprise search Product and support linking Human handoff Resolution analytics How DevRev works DevRev takes text as input and produces text and actions. It combines large language models with task-specific AI, with the vendor managing prompts, models and updates. It connects to tools such as Zendesk, Salesforce Service Cloud, Slack and Shopify, so the agent works inside existing workflows. Who uses DevRev? DevRev is built for B2B SaaS companies. It suits teams that want AI ticket resolution and IT service desk without adding headcount, while keeping people in control of review and final decisions. DevRev vs Zendesk DevRev is often compared with Zendesk. DevRev stands out for AI ticket resolution and enterprise search. The right choice depends on your workflow, integrations and budget, so compare both on a real task.
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What is Intercom Fin? Fin is Intercom's AI agent that resolves customer questions across chat, email and voice. It can run inside Intercom or on top of other helpdesks such as Salesforce. Key capabilities of Intercom Fin High resolution rates: Resolves customer questions across channels. Procedures and actions: Follow procedures and take actions. Works with any helpdesk: Runs on Intercom or other systems. Testing: Test behavior before launch. Analytics: Measure resolution performance. How Intercom Fin works Fin answers customers from your support content and follows configured procedures, then hands off to a person when needed. It is priced per outcome: an outcome counts when a customer confirms resolution, does not ask for more help, or Fin completes a workflow. Existing helpdesk users pay per outcome with no seat costs or platform fees. Who uses Intercom Fin? Support teams use Fin with Intercom or other helpdesks. Startups can qualify for discounts through the Early Stage program. Intercom Fin pricing Fin costs $0.99 per outcome. Intercom plans that include Fin are Essential at $29 per seat per month, Advanced at $85 and Expert at $132. Optional Copilot is $29 per agent per month, and a 14-day free trial needs no credit card. Intercom Fin alternatives Forethought offers Solve, Triage and Assist agents, Ada acts in business systems, and Tidio Lyro suits small online stores. Fin is distinguished by outcome-based pricing.
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What is Ushur? Ushur is an AI agent-powered customer experience automation platform that delivers proactive outbound and inbound engagement with compliance and auditability built in. Its sectors include healthcare, insurance, financial services and the public sector. Key capabilities of Ushur Ushur Assist: AI agent technology Agentic Experience Framework: foundation for deploying agents Ushur Studio: no-code workflow builder Ushur Exchange: integration layer Ushur Insights: analytics and performance monitoring Channels: SMS, RCS, email, voice, web and the Invisible App How Ushur works Agents plan, reason, retrieve data, validate inputs and resolve complex customer requests end to end, with governance, human-in-the-loop safeguards and full audit visibility. The platform keeps context across channels and conversation threads. Who uses Ushur? Health payers, providers, PBMs, insurers and lenders. Customers include Cigna, IEHP, Aflac, Irish Life, Benefitfocus and Sun Life, with uses such as claims support, onboarding and payment collection. Ushur pricing Ushur does not publicly disclose pricing on its homepage. Ushur alternatives ASAPP, Forethought and Decagon are AI customer service platforms, Certainly builds conversational AI, and Gradient Labs focuses on financial services support. Ushur emphasizes regulated industries and outbound engagement.
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What is Gladly? Gladly is an agentic commerce platform designed for high-end retailers, positioned as commerce AI for every customer moment. It unifies selling, serving and supporting customers in a single interface and keeps humans in control of AI decisions. Key capabilities of Gladly Customer guidance: Guides shoppers through products and decisions. Preference memory: Remembers customer preferences across conversations. Unified sales and service: Sell, serve and support from one interface. On-brand conversations: Keeps AI conversations in the retailer's voice. Browser-to-buyer conversion: Converts browsing into purchases. How Gladly works Gladly places an AI commerce agent on a retailer's storefront and support channels. It remembers customer preferences, answers questions, recommends products and hands off to human staff while keeping a single customer record. The vendor also publishes an API reference for platform integration. Who uses Gladly? Luxury and mid-market retailers use Gladly. The vendor lists Tory Burch, UGG, Nordstrom, Ulta Beauty, Crate and Barrel, Rothy's, TUMI and Conde Nast among its customers. Gladly pricing The vendor does not state prices on its site and directs visitors to request a demo or try the platform, so pricing is quote-based. Gladly alternatives Quiq provides conversational AI for customer messaging, Twig offers AI customer support, and DevRev combines support and product tooling. Gladly is distinguished by its focus on high-end retail commerce.
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What is Cresta? Cresta is a generative AI platform for customer experience that unifies human and AI agents in the contact center. It automates, augments and analyzes customer conversations across voice and digital channels. Key capabilities of Cresta AI Agent: Autonomous voice and digital agents that resolve customer interactions. Agent Assist: Real-time coaching and knowledge suggestions during live calls. Conversation Intelligence: Analysis of conversations to find patterns and revenue opportunities. Knowledge Agent: Proactive answers from enterprise knowledge bases. Quality Management: Automated QA across interactions. How Cresta works Cresta connects to contact center platforms such as Genesys, NICE, Amazon Connect and Twilio. AI Agents handle interactions on their own, while Agent Assist coaches human agents live and Quality Management scores conversations automatically. Conversation Intelligence surfaces trends from the same data. Who uses Cresta? Enterprise contact centers in travel, finance, insurance and retail use Cresta. The vendor cites Snap Finance at 5.5x higher containment and Cox Communications at 20 percent more revenue. Cresta pricing The vendor does not publish prices. Cresta is sold to enterprises, so pricing is quote-based. Cresta alternatives Conversica automates sales conversations, Salesforce Agentforce builds agents on CRM data, and Floworks offers AI sales agents. Cresta is distinguished by combining AI agents and human agent coaching for contact centers.
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What is Watermelon? Watermelon is an AI customer service platform that automates customer conversations with AI agents while human teams stay in control through a shared dashboard. Agents are trained on a company's knowledge and workflows. Key capabilities of Watermelon Trainable agents: Train agents on company knowledge and workflows Multi-channel: Website chat, email, WhatsApp, Instagram, Facebook Messenger and custom channels Human handover: Escalates to human agents when needed Shared dashboard: Team manages conversations alongside AI System integrations: Connects with Shopify, Salesforce, Zendesk and HubSpot EU data residency: Customer data stays in Europe How Watermelon works You build an agent from your knowledge base and workflows, deploy it on chosen channels, and let it handle inquiries. When it cannot resolve an issue it hands over to a human in the shared inbox. Data is end-to-end encrypted and never used to train external models. Who uses Watermelon? Customer support teams, particularly European companies with data residency needs. Customers report automating 80 to 98 percent of conversations. Watermelon pricing Watermelon mentions pricing plans and demos, but prices were not shown on the page reviewed. Watermelon alternatives Alternatives include Tidio Lyro for small-business support AI, Gorgias for e-commerce support, and LivePerson for conversational AI.
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What is SiteGPT? SiteGPT is a website support chatbot AI agent offering a custom AI chatbot trained on your website content to answer visitor and customer questions. Founded in 2023 and based in Hyderabad, India, SiteGPT helps small businesses and SaaS companies automate website support chatbot work and get results faster. Key capabilities of SiteGPT Website content training Instant answers Escalation to humans Conversation analytics Multilingual support Human handoff How SiteGPT works SiteGPT takes text, URL and documents as input and produces text. It is powered by OpenAI models, with the vendor managing prompts, models and updates. It connects to tools such as Zendesk, Intercom, Freshdesk and Salesforce Service Cloud, so the agent works inside existing workflows. Who uses SiteGPT? SiteGPT is built for small businesses and SaaS companies. It suits teams that want website content training and instant answers without adding headcount, while keeping people in control of review and final decisions. SiteGPT vs Chatbase SiteGPT is often compared with Chatbase. SiteGPT stands out for website content training and escalation to humans. The right choice depends on your workflow, integrations and budget, so compare both on a real task.
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Customer support AI automates and assists service across channels, resolving common requests, drafting agent replies, and surfacing knowledge in real time. This guide explains what support AI is, how it works, what to look for, and how to choose a platform.
Customer support AI automates and assists service across channels, resolving common requests, drafting agent replies, and surfacing knowledge in real time. This guide explains what support AI is, how it works, what to look for, and how to choose a platform.
Customer support AI applies large language models and automation to the service workflow: AI agents resolve routine tickets autonomously, copilots draft and improve agent responses, and AI surfaces relevant knowledge and customer context during conversations.
It spans deflection (self-service resolution before a ticket is created), agent assist (suggested replies, summaries, next steps), and back-office automation (triage, routing, tagging, and quality assurance).
The category has shifted from keyword macros and simple bots to grounded, action-taking assistants that resolve issues end to end and integrate deeply with help desks, knowledge bases, and business systems.
Incoming requests are understood by an LLM, grounded in your help center and policies, and either resolved autonomously, deflected to self-service, or routed to an agent with a suggested response and full context.
Platforms combine an LLM, knowledge grounding (RAG over docs and past tickets), actions via integrations (orders, accounts, billing), and QA/analytics that measure resolution, CSAT, and quality.
Support leaders connect content and systems, define guardrails and escalation, and continuously improve by closing content gaps and refining automations based on transcripts and analytics.
AI agents resolve common requests end to end, answering questions and taking actions, without human involvement.
Suggested replies, tone adjustment, conversation summaries, and next-best-actions help agents respond faster and better.
RAG over your help center, policies, and past tickets keeps answers accurate and consistent.
AI classifies, prioritizes, and routes tickets automatically, reducing manual queue management.
Deep integration with your help desk and business systems so AI can read context and take action.
Automated quality scoring, CSAT, deflection, and resolution metrics to measure and improve performance.
Autonomous resolution and faster handling reduce cost per ticket as volume grows.
Instant answers and agent copilots cut response and handle times, improving CSAT.
Always-on support across time zones without proportional staffing.
Grounded answers and QA keep responses accurate and on-policy across agents and shifts.
Automating repetitive tickets lets agents focus on complex, rewarding work and reduces burnout.
| Type | Best for | Ideal size | Pros | Limitations |
|---|---|---|---|---|
| Autonomous AI agents | Resolve common tickets end to end | SMB to enterprise | High deflection, 24/7 | Needs good content and guardrails |
| Agent copilots | Assist human agents in real time | Any | Faster, higher-quality replies | Still requires agents |
| Self-service & search AI | Deflect via help center and search | Any | Reduces inbound volume | Limited to informational queries |
| Back-office automation | Triage, routing, QA | Mid-market to enterprise | Reduces ops overhead | Indirect customer impact |
Retail & E-commerce: Resolve order, return, and shipping issues instantly and at scale.
Financial Services: Handle account and policy queries with guardrails and audit trails.
Technology: Scale product support and deflect from documentation.
Healthcare: Answer patient and member questions while protecting sensitive data.
Travel: Manage bookings, changes, and disruptions across peak demand.
Education: Support students and staff across admissions and services.
Test autonomous resolution and agent-assist quality on your real tickets and content, not a demo dataset.
Confirm deep integration with your help desk (Zendesk, Intercom, Salesforce, etc.) and business systems.
Verify the AI can take actions (refunds, lookups, updates) through integrations to truly resolve issues.
Review safety controls and clean handoff to agents with full context.
Check data handling, retention, and certifications relevant to your industry.
Compare per-resolution, per-conversation, and per-seat pricing against your volume.
Support AI is moving from deflection to autonomous resolution, completing actions across systems to fully close tickets.
Agent copilots are becoming standard, blending automation with human judgment for complex cases.
Proactive support uses signals to resolve issues before customers reach out.
Buyers should prioritize platforms with deep integrations, strong guardrails, transparent ROI metrics, and solid data governance.
Customer support AI uses large language models and automation to resolve, assist, and streamline service. It includes autonomous AI agents that resolve common tickets end to end, copilots that draft and improve agent replies, self-service deflection, and back-office automation for triage, routing, and QA, all grounded in your help content and integrated with your help desk.
For common, well-documented requests, especially when the AI can take actions through integrations, yes, it can resolve them end to end. Complex or sensitive cases are escalated to human agents with full context. The achievable resolution rate depends on your ticket mix, content quality, and integrations.
By autonomously resolving routine tickets, deflecting via self-service, and speeding up agents with copilots, it lowers cost per ticket and the headcount needed to handle growth and spikes. Actual savings depend on your volume, content, and how deeply the AI integrates with your systems.
It shifts their focus rather than replacing them. AI handles repetitive tickets and assists on the rest, while agents concentrate on complex, high-empathy, and high-value cases. This typically improves both efficiency and agent satisfaction.
Leading platforms integrate with help desks like Zendesk, Intercom, Salesforce Service Cloud, and Freshdesk, plus business systems for orders, billing, and accounts. Deep integration is what lets the AI take action and truly resolve issues, confirm support for your stack.
Reputable vendors provide encryption, access controls, data-retention settings, and compliance certifications, and enterprise plans typically guarantee your data isn't used to train shared models. Given the sensitivity of support data, review data handling carefully before adopting.
Common models are per-resolution, per-conversation, or per-seat (for copilots). Per-resolution pricing aligns cost with value but can scale with volume; estimate your ticket mix to compare true cost across vendors.
Prioritize resolution quality on your real tickets, deep help-desk and systems integration, the ability to take actions, strong guardrails and escalation, data privacy, and a pricing model that fits your volume. Run a pilot and measure resolution rate, CSAT, and ROI before rolling out.
