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Average price: 51 products listed
51 Listings in Customer Support AI Available
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What is Sierra? Sierra is an enterprise platform for building conversational AI agents that handle customer service and sales conversations. It was co-founded by Bret Taylor, formerly co-CEO of Salesforce, and is used by large consumer brands. Key capabilities of Sierra Multichannel conversations: Agents work across chat, voice, email, SMS and WhatsApp. Action-taking agents: Agents can look up orders and update systems, not just answer questions. Brand-specific behavior: Tone, policies and guardrails are configured per company. System integrations: Connects to CRM, order and support systems to complete tasks. Human handoff: Escalates conversations to live agents when needed. How Sierra works A company defines its policies, tone and connected systems, and Sierra builds an agent that talks to customers and takes actions such as processing a return. Conversations that exceed the agent's remit are handed to people. Pricing is tied to outcomes, so a charge applies when the agent resolves a request or completes a defined result. Who uses Sierra? Large consumer and subscription brands with high support volumes use Sierra to automate service across channels. It is sold to enterprises through a sales process rather than self-serve signup. Sierra pricing Sierra does not publish rates. Third-party reporting says it uses outcome-based pricing, charging when an agent resolves an interaction, saves a cancellation or completes an upsell, with figures around $1.50 per resolved interaction cited. Contact sales for a quote. Sierra alternatives Decagon also builds enterprise customer-service agents, Intercom Fin is an AI agent bundled with the Intercom helpdesk, and Ada automates support for large consumer brands. Sierra is notable for outcome-based pricing and its founding team.
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What is Espressive? Espressive is an employee self-service AI agent offering Barista, an AI assistant for employee self-service across IT, HR and facilities. Founded in 2016 and based in Santa Clara, California, USA, Espressive helps enterprise IT and HR teams automate employee self-service work and get results faster. Key capabilities of Espressive Employee virtual agent IT and HR answers ServiceNow integration Proactive notifications Human handoff Resolution analytics How Espressive works Espressive 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 Espressive? Espressive is built for enterprise IT and HR teams. It suits teams that want employee virtual agent and IT and HR answers without adding headcount, while keeping people in control of review and final decisions. Espressive vs Moveworks Espressive is often compared with Moveworks. Espressive stands out for employee virtual agent and ServiceNow integration. The right choice depends on your workflow, integrations and budget, so compare both on a real task.
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What is Moveworks? Moveworks is an employee support AI agent offering an agentic AI assistant for employee support across IT, HR and business systems (part of ServiceNow). Founded in 2016 and based in Mountain View, California, USA, Moveworks helps large enterprises automate employee support work and get results faster. Key capabilities of Moveworks Employee AI assistant Enterprise search Agent builder IT and HR automation Human handoff Resolution analytics How Moveworks works Moveworks takes text as input and produces text and actions. It is powered by Multiple LLMs (managed) models, 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 Moveworks? Moveworks is built for large enterprises. It suits teams that want employee AI assistant and enterprise search without adding headcount, while keeping people in control of review and final decisions. Moveworks vs Aisera Moveworks is often compared with Aisera. Moveworks stands out for employee AI assistant and agent builder. The right choice depends on your workflow, integrations and budget, so compare both on a real task.
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What is ASAPP? ASAPP is an agentic customer experience platform for contact centers. Its GenerativeAgent AI agent understands requests, reasons and acts to resolve customer interactions, with human agents kept in the loop. Key capabilities of ASAPP GenerativeAgent: AI agent that resolves customer interactions Human-in-the-loop: AI supports rather than replaces human agents Agent observability: visibility into AI decisions with testing and governance Safety agents: built-in safeguards and data governance Redaction: proprietary sensitive-data redaction How ASAPP works GenerativeAgent connects to your systems, reasons through a customer request, takes actions and hands off to a human agent when needed. Observability tools let teams test behavior and inspect why the agent decided what it did. Who uses ASAPP? Large contact centers in airlines, telecom and insurance. Named customers include American Airlines, Dish, JetBlue and Ernst and Young. ASAPP pricing ASAPP does not publish pricing. Buyers book a demo and receive a quote. ASAPP alternatives Ada and Forethought are AI customer service agents, Certainly builds conversational AI for support, and Ushur and Gleap offer automation and in-app support tools.
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What is SiteSpeakAI? SiteSpeakAI is a platform for creating custom AI agents trained on your website content, documents, PDFs and videos to handle customer conversations. Key capabilities of SiteSpeakAI Content training: Train on your site, docs, PDFs and videos Lead capture: Collect contact details mid-conversation without forms Task automation: Book meetings and look up orders through connected tools 95+ languages: Automatic language detection One-line install: Deploy with a single line of code Human handoff: Escalate complex issues with full context White-label: Agencies can brand and resell How SiteSpeakAI works You point SiteSpeakAI at your site, documents, PDFs or videos, and it trains an agent on that content. The agent is embedded with one line of code, answers repetitive questions, captures leads, and uses integrations to book meetings or look up orders. When a question is complex it hands off to your team with the conversation context. Who uses SiteSpeakAI? SiteSpeakAI is used by small businesses, support teams and agencies that want a branded chatbot on their website. Agencies can white-label it and resell to clients. SiteSpeakAI pricing Monthly plans: Free at $0 (30 message credits, 1 agent), Starter at $29 (1,000 credits, 1 agent), Pro at $79 (3,000 credits, 5 agents), Growth at $249 (10,000 credits, 15 agents) and Business at $499 (20,000 credits, unlimited agents). Paid plans include a 7-day free trial. SiteSpeakAI alternatives Alternatives include LivePerson, Verint and Aisera for enterprise service automation, and Help Scout AI for help desk teams. SiteSpeakAI is a lighter option trained on your own content.
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What is Tidio Lyro? Lyro is Tidio's AI customer service agent. It learns from your existing support content and knowledge base to answer customer questions in a brand-aligned way and hands off to human agents when needed. Key capabilities of Tidio Lyro Knowledge-base learning: Answers from your support content. Automated resolution: Resolves common inquiries on its own. Smart actions: Order updates and lead qualification. Product recommendations: Suggests products in chat. Conversation monitoring: Real-time monitoring of chats. How Tidio Lyro works Lyro ingests your help center and support content, then answers customer questions in the Tidio chat widget and connected channels. When it cannot resolve an issue it hands off to a human. Tidio describes it as handling up to 67 percent of customer problems. Who uses Tidio Lyro? Small and mid-sized online businesses use Lyro with Tidio's live chat and ticketing tools. Tidio Lyro pricing Lyro AI Agent starts at $32.50 per month for 50 conversations. Tidio's core plans are Starter at $24.17 per month, Growth from $49.17, Plus from $300 and custom Premium, with annual billing giving 2 months free and a 7-day free trial. Tidio Lyro alternatives Ada is an enterprise AI customer service agent, Gladly focuses on retail commerce, and Quiq offers conversational AI for messaging. Lyro is distinguished by its low entry price within a live chat suite.
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What is Aisera? Aisera is an enterprise agentic AI platform that provides AI agents and assistants for IT, HR, finance, procurement, customer service, facilities, sales and legal. It automates multi-step requests across the systems a company already uses. Key capabilities of Aisera Agent Composer: Build custom AI agents using natural language. Aisera Assistant: A personal assistant that completes employee and customer tasks. Agent Assist: Supports human agents with suggestions and summaries. Hyperflows: Orchestrates complex multi-step workflows across systems. Aisera Unify: Integration backbone supporting A2A, MCP and AGNTCY standards. How Aisera works Aisera connects to ticketing, HR, CRM and messaging systems through its connector library of 200+ integrations. Users ask for help in chat, and agents resolve requests or run workflows such as onboarding or password resets, handing off to people when needed. Admins build or adapt agents with Agent Composer. Who uses Aisera? IT service desks, HR teams, finance and customer-support organizations in banking, healthcare, retail, telecom, manufacturing and government use it. It is sold to mid-size and large enterprises through sales. Aisera pricing Aisera does not publish prices. Packages such as Pro and Enterprise are quoted through the vendor's sales team, and pricing depends on use cases and volume. Aisera alternatives Moveworks focuses on employee support across IT and HR, Yellow.ai targets customer and employee conversational automation, and Kustomer is a customer-service CRM with AI. Aisera spans IT, HR, finance and CX in one platform.
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What is Freeday? Freeday is an enterprise platform that deploys autonomous AI agents, which it calls digital employees, to handle complete workflows across customer service, finance, healthcare and other sectors. Key capabilities of Freeday End-to-end automation: agents verify identity, process payments, resolve issues and close tickets Multi-channel support: voice, chat, email and WhatsApp Cross-system execution: works across existing business applications Exception handling: escalates to humans with full auditability Continuous learning: improves from every interaction In-infrastructure data: data remains within your infrastructure How Freeday works Freeday agents take requests over voice, chat, email or WhatsApp and act in connected business systems to finish the task, such as verifying identity and processing a payment. When an exception arises they escalate to a person with an audit trail. Deployment takes about four weeks from assessment to live agents. Who uses Freeday? Freeday lists BUX, Landal, Bitvavo, Erasmus University, CitizenM, Pathe and Vodafone Ziggo among customers. It reports an 85%+ resolution rate on routine workflows and 99.7% accuracy on accounts payable processing. Freeday pricing Freeday uses outcome-based pricing, described as pay per resolved interaction. No per-interaction rate is published. Freeday alternatives Alternatives include Yellow.ai for conversational automation, Cognigy for contact center AI and Moveworks for employee support.
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What is eesel AI? eesel AI is a helpdesk automation AI agent offering an AI support agent that learns from past tickets and docs to answer, triage and draft replies in your helpdesk. eesel AI helps support teams automate helpdesk automation work and get results faster. Key capabilities of eesel AI Ticket auto-replies Triage and tagging AI copilot drafts Internal Q&A Ticket deflection Knowledge-grounded answers How eesel AI works eesel AI takes text as input and produces text. It combines large language models with task-specific AI, with the vendor managing prompts, models and updates. It connects to tools such as Zendesk, Freshdesk, Intercom and Slack, so the agent works inside existing workflows. Who uses eesel AI? eesel AI is built for support teams. It suits teams that want ticket auto-replies and triage and tagging without adding headcount, while keeping people in control of review and final decisions. eesel AI vs Forethought eesel AI is often compared with Forethought. eesel AI stands out for ticket auto-replies and AI copilot drafts. The right choice depends on your workflow, integrations and budget, so compare both on a real task.
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What is Insurmi? Insurmi is a conversational AI platform for insurance carriers. Its agent, Violet, helps policyholders get quotes, file claims, make policy changes and get answers to general questions, around the clock. Key capabilities of Insurmi Quoting and sales: Guides customers through getting a quote and buying a policy. Claims filing: Walks customers through the claim filing process and checks initial eligibility. Policy changes: Handles routine servicing requests. FAQ answers: Responds to general policy questions in seconds. 24/7 availability: Immediate assistance outside business hours. Customizable chatbot: Configured per carrier. How Insurmi works Violet runs as a chat assistant on carrier channels and takes customer questions as text. It completes routine servicing steps itself and leaves complex cases to human teams. The vendor describes it as faster and lower cost than human agents; underlying models are not published. Who uses Insurmi? Insurance carriers that want to automate sales, claims intake and customer service. Press coverage names carriers such as Principal Financial Group and Farm Bureau Financial Services among its users. Insurmi pricing Insurmi does not publish pricing, which is quoted to each carrier during implementation. Insurmi alternatives Moveworks is an employee-support agent platform, and Kustomer and Gladly are general customer service platforms. Insurmi is distinct in being built for insurance carriers.
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What is NICE CXone Mpower? NICE CXone Mpower is the enterprise customer experience AI platform from NiCE, used to orchestrate human and AI agents, automate service, empower the workforce and scale intelligent experiences. NiCE describes CXone as handling more than 25 billion interactions a year. Key capabilities of NICE CXone Mpower AI agents: self-service, proactive engagement, sales and marketing, and process automation Copilot for Agents: productivity assistance for contact center agents Copilot for Supervisors: guidance for workforce and team leads Omnichannel routing: IVR, routing, outbound and digital engagement Workforce management: forecasting, scheduling and performance tools Quality analysis: evaluation of interactions CXexchange marketplace: extends the platform with partner apps How NICE CXone Mpower works The platform is organized around three pillars: automate experiences with AI agents, orchestrate engagement across channels, and empower the workforce with copilots and quality tools. AI agents handle self-service and automation work while routing hands complex interactions to human agents. NiCE offers pre-built integrations and open APIs for connecting CRM and other systems. Who uses NICE CXone Mpower? It is built for large enterprise contact centers that need self-service automation, routing and workforce management in one platform, with copilots guiding agents and supervisors. NICE CXone Mpower pricing NiCE does not publish CXone Mpower pricing. Contracts for the platform are quoted through the vendor and its partners based on seats, volume and modules. NICE CXone Mpower alternatives Alternatives include Genesys Cloud, Talkdesk, Five9 and Intercom Fin, which cover contact center AI at different enterprise scales.
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What is Parahelp? Parahelp is an AI support agent platform that resolves complex customer issues end to end across email, live chat and Slack by connecting to your tools through APIs. It includes a Customer Agent and an Internal Agent that builds and improves it. Key capabilities of Parahelp Customer Agent: handles complex issues across channels without human intervention Internal Agent: builds, tests and improves the Customer Agent from natural language instructions Tool actions: connects to systems through APIs to take actions Role-based access: Admin and Operator permissions Safety guardrails: built into every tier Trust center: dedicated security documentation How Parahelp works The vendor describes a three-hour rollout: connect context sources and tools in hour one, review configurations in hour two and go live in hour three. The Internal Agent turns plain-language instructions into improvements to the Customer Agent. Who uses Parahelp? B2B and SaaS support teams that want automated resolution rather than suggested replies. A customer on its site reports 94% CSAT, and Parahelp states it is SOC 2 Type II audited and GDPR compliant. Parahelp pricing Start is $1,000 per month for startups under 3,000 tickets monthly, with resolved tickets at $1.25 each. Scale is $4,000 per month for 3,000 to 20,000 tickets with a 20% discount. Above 20,000 tickets is custom. All tiers have a 14-day trial. Parahelp alternatives Decagon is another AI support agent platform, Gorgias and Tidio Lyro target ecommerce support, and Freshworks Freddy and Help Scout AI add AI to existing helpdesks.
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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.
Tech stacks
See where customer support ai fits in a complete stack, with the other software, AI agents and services each business needs.
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.