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Start with the questions, not the software. In most businesses a short list of topics accounts for the bulk of contacts: where is my order, how do I reset this, can I get a refund, does it work with that. Those are the questions an AI agent can answer well, provided the answer exists in writing somewhere it can read. So the first job in setting up support is unglamorous: write the help articles and the policies, clearly, and keep them current.
Once that base exists the rest stacks on top of it. A chat widget answers from the articles at any hour. A shared inbox gathers email, chat and social messages so nothing is lost between colleagues. A voice agent takes routine calls. Automations move a conversation to the right person with its history attached.
The risk runs the other way too. An agent with a gap in its knowledge will sometimes fill it with a confident guess, and a customer who cannot reach a human when they need one remembers it. Every block below should have a visible exit to a person, and somebody should read real conversations each week.
Who this is for Founders, online shop owners and small support teams setting up or reorganizing customer support, and operations leads who want routine questions answered automatically while complex cases still reach a person.
A small first setup: one place for articles, one widget with an inbox behind it, and one survey. These were picked because each record describes that core job, not because they outrank the alternatives.
Write articles for your ten most frequent questions, starting with refunds, delivery and account access.
Install the chat widget, train the agent on those articles and test it with questions it should refuse.
Create a two-question satisfaction survey and send it after resolved conversations.
You write down the answers: how-to articles, policies on refunds, shipping and accounts, troubleshooting steps. Then you publish them in a searchable help center and assign someone to keep them accurate.
Knowledge base software whose AI writer drafts or updates an article from a topic, notes or a support ticket, with analytics showing content gaps.
Knowledge base software with AI search, an AI writer and a chatbot for support and internal documentation.
Records a process as you click through it, turns it into a numbered guide with screenshots and gathers guides into a searchable help center.
Records a process as you click through it and turns the capture into a step-by-step guide or interactive walkthrough.
Its agent reads code changes, support tickets and reader feedback, then drafts page updates that a person approves before they go live.
Documentation and knowledge base platform with an AI agent that drafts updates from code, tickets and feedback for approval.
Publishes self-service articles in a knowledge base that sits in the same platform as its chat widget and tickets.
Free live chat and customer messaging platform with a shared inbox, ticketing, knowledge base, CRM and AI answers.
Internal knowledge base that tracks which documents are verified or outdated, so agents can tell which answers to trust.
Team knowledge base with an AI agent that searches connected tools and proposes updates to outdated docs.
You add a chat widget to the site, train an AI agent on your help content, define what it may and may not answer, and set how it hands a conversation to staff.
Adds a chat widget to a website and builds AI agents trained on your content, with help center articles serving as training material.
Customer support platform with a shared omnichannel inbox, chat widget, knowledge base and AI agents.
Builds agents trained on your documentation, websites and ticket histories that answer in a site widget and hand off to a human when needed.
Platform for building AI agents and chatbots trained on your documentation to answer questions and take actions.
Its AI Agent replies from your site pages and help articles, reports order status from a connected store and transfers to a chosen person.
Website live chat with an AI Agent, shared inbox and ticketing, now sold to new customers under the Text name.
Its Customer Agent replies to questions across chat, email, forms and calls and escalates to a person when needed.
Customer platform that joins CRM, marketing, sales and service software with built-in AI agents.
For technical products: deploys agents on a docs site or support form that give cited answers and hand off to the support team.
Ingestion and retrieval platform that turns company docs, tickets and wikis into AI agents and a search API.
You bring every channel into one place: support email, chat, social messages and forms. Each conversation gets an owner, a status and a history the next colleague can read.
For online stores: gathers email, chat, SMS, WhatsApp, Instagram and Facebook messages in one inbox with Shopify order data beside each conversation.
Ecommerce customer support platform that joins a shared helpdesk inbox with an AI agent for stores.
Centralizes chats, emails and social messages in a shared inbox so several teammates can handle them together.
Customer support platform with a shared omnichannel inbox, chat widget, knowledge base and AI agents.
Brings web chat, forms, WhatsApp, SMS and email into one dashboard and tracks issues as tickets with assignees, priorities and statuses.
Free live chat and customer messaging platform with a shared inbox, ticketing, knowledge base, CRM and AI answers.
Pulls customer threads from marketplaces, shops, email accounts and social channels into one panel and detects the emotional tone of a message.
Helpdesk for online sellers that gathers marketplace, store, email and social messages into one AI-assisted inbox.
Email agent for shared inboxes that drafts replies from your FAQs and past emails, holds them for approval and escalates unusual messages to a person.
AI email agent that drafts, sends, routes and follows up on messages in personal and shared inboxes.
If customers call, you decide which calls an AI agent may take, design the conversation, test it against real scenarios and define the transfer to a person.
Lays out call flows on a visual canvas, tests them with simulated calls and has the agent brief a staff member before connecting the caller.
Platform for building, testing and deploying AI voice agents that answer and place phone calls.
Visual builder for phone agents with a test center for simulated calls and links to existing SIP trunks, CRMs and calendars.
Enterprise voice AI platform for building, testing and running phone agents on its own telephony network.
Enterprise platform for phone agents that exposes the reasoning behind each decision and passes callers to staff with the gathered context.
Enterprise voice AI platform for building, deploying and monitoring phone agents on the vendor's own models.
For human agents on calls: removes background noise and offers call center tools such as live agent assistance and call scoring.
Voice AI for calls: noise cancellation, a bot-free meeting note taker, accent conversion and call center tools.
You decide which languages to serve, translate the help center and saved replies, and give agents a way to read and answer messages in languages they do not speak.
Translates text and documents with glossaries that fix how specific terms are rendered; answering customers in other languages is a listed use.
AI translator for text, documents and speech in more than 100 languages, with apps, integrations and an API.
Maintains help articles in multiple languages, with one-click AI translation available.
Knowledge base software with AI search, an AI writer and a chatbot for support and internal documentation.
Its translations add-on translates incoming and outgoing messages in real time inside the helpdesk.
Helpdesk for online sellers that gathers marketplace, store, email and social messages into one AI-assisted inbox.
Translates spoken conversation across more than 25 languages during live calls, for voice support teams.
Real-time speech AI platform for accent translation, language translation, speech enhancement and conversation insights.
You connect support to the other systems: new tickets create tasks, urgent issues alert the right channel, order or billing data is fetched automatically, and escalations carry their context.
Runs multi-step workflows across thousands of apps; replying to incoming tickets and assigning them to an agent is a listed use.
Automation platform that connects 9,000+ apps and lets teams build AI workflows, agents and chatbots without code.
Visual scenario builder that links apps with routers and filters, for example connecting alerts to ticketing and chat tools.
Visual automation platform for building workflows and AI agents across 3,000+ app integrations.
Workflow canvas with code steps and self-hosting, where each execution of an AI agent can be inspected.
Workflow automation platform for building AI agents and automations visually, with code steps and self-hosting.
Its Workflow Builder automates recurring jobs such as approvals, and channels keep the messages and decisions around an escalation in one searchable place.
Team messaging platform with channels, huddles, workflow automation and built-in AI such as Slackbot and AI search.
You review conversations for accuracy and tone, track volume, response and resolution times, and look for the product problems that generate contacts in the first place.
Gathers support tickets, call recordings, surveys and reviews and sorts them into consistent themes tied to customer segments and product areas.
Customer intelligence platform that structures feedback from support, sales and market channels for teams and AI tools.
Reports on conversations and highlights topics where the documentation does not provide an answer.
Ingestion and retrieval platform that turns company docs, tickets and wikis into AI agents and a search API.
Replays a user's session with errors and network activity alongside, so a reported problem can be reproduced.
Open-source session replay and product analytics suite that can be self-hosted or run as a managed instance.
Enterprise platform that surfaces emerging topics in open-ended comments and supports contact center coaching and quality management.
Enterprise experience management platform that collects customer and employee feedback and analyses it with AI.
You ask customers how it went: a short satisfaction question after a conversation, a periodic loyalty survey, and a way to collect and act on open comments.
Drafts a survey from a prompt and reports topics and sentiment across responses; satisfaction and NPS collection is a listed use.
Form, survey and quiz builder with AI form creation, automated follow-up workflows and AI-moderated research.
Writes a questionnaire from a described goal, offers NPS question types and presents results as AI-written reports.
Survey platform with AI tools that generate questionnaires from a prompt and summarise responses in reports.
Runs post-purchase, exit-intent and NPS surveys on a site, by email or SMS, and summarizes open-ended answers into themes.
Survey platform for Shopify and other sites with post-purchase, exit-intent and NPS surveys plus AI analysis of responses.
Collects text and video testimonials on a branded page and, on higher plans, runs an NPS survey with follow-up questions.
Platform for collecting text and video testimonials and displaying them on a website, with NPS and brand monitoring.
For routine, well-documented questions it can take much of the volume, and several tools here are built for that. It does not replace people for exceptions, complaints, complex accounts or anything needing judgment or empathy. Most small teams end up with AI answering the repetitive questions first and humans handling what remains, plus someone maintaining the knowledge the bot depends on.
In many places you should, and in some you must. Disclosure rules for chatbots and synthetic voices exist in several jurisdictions, and they differ in scope. Beyond the law, customers react badly to discovering it afterward. Say so in the greeting, name the bot plainly and offer a way to reach a person.
Written answers. The agent draws on help articles, policies, product information and sometimes past tickets, so gaps and contradictions in those sources become gaps and contradictions in its replies. Before switching it on, cover your most common questions, remove outdated pages and decide which topics it must always hand to a person.
Usually the business. The details depend on consumer law where you operate, but a company generally cannot disown statements made by its own support channel. That is why guardrails, a limited scope, approval for refunds and regular transcript review matter. For regulated products, ask a qualified adviser before automating answers.
It depends on call volume and call type. If many calls are bookings, opening hours or order status, and calls are missed after hours, an agent can help. If calls are few, varied or sensitive, a person with a good voicemail and callback routine may serve customers better. Test with real scenarios before putting it on your main number.
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