Works across
Multi-channel
Meet customers wherever they choose to reach you - on your website, by phone, email, or text. The same agent is ready to answer questions, take action, and resolve requests across every channel.
How it works
Hands off by design. An agent that takes action, closes the loop, and improves with every interaction, freeing your team to focus on growing your business.
Step 01 of 05
Grounded in your approved content. Your site, help articles, policies, and internal documents become the agent’s source of truth.
On the web
Engage visitors browsing your site the moment they land. Your AI agent engages, converts, or books appointments before visitors leave - turning traffic into revenue.
Customer expectations have changed. People want answers immediately, across whatever channel is most convenient, without repeating themselves or navigating rigid menus. At the same time, businesses need to deliver better experiences without adding another layer of operational complexity.
On the phone
Answer every call, at any hour, without a phone tree. Voice agents greet callers, work out what they need, and either resolve it outright or route them to the right person.
Live call
AgentThanks for calling Acme Dental — how can I help?
CallerDo you have anything tomorrow?
AgentI have 2:15pm. Shall I book it for you?
CallerYes, please.
AgentBooked. A confirmation text is on its way.
Appointment booked · 0:41
Unlike traditional phone trees that follow predefined menus, your AI voice agent interacts, reasons, and acts in a natural way — handling requests, completing tasks, and escalating to your team when needed.
For your team
Chat, voice, email, and social in a single queue. Your team sees the whole relationship in one thread instead of stitching it together across four tools.
Interactions from every channel land directly into your Unified Inbox for easier prioritization, faster resolutions, and elevated customer experiences.
Insights for your business
Understand what customers are actually asking for. Track volume, resolution rates, and sentiment across every channel, and see where the experience breaks down.
You can count conversations. You can count automated responses. You can calculate how many customers were prevented from reaching a human. But none of those numbers necessarily tell you whether customers actually received better service.
Help Center
A searchable knowledge base built from the content you already have, so customers find answers themselves before they ever open a conversation.
Your AI agent should not invent policies, services, pricing, hours, procedures, or answers. It should work from the knowledge your organization has approved — your website, FAQs, documentation, policies, service information, and other connected sources.
Capabilities
Get the right tools to manage your online presence, engage with customers, and grow your business.
Traditional chatbots follow predefined scripts and decision trees. AI agents understand natural language, interpret customer intent, retrieve business knowledge, reason about context, and take action — booking appointments, collecting information, qualifying leads, initiating follow-ups, and escalating complex situations to your team. The distinction is that an AI agent moves beyond generating responses to completing tasks.
Your AI agent is grounded in the knowledge your organization has approved — your website, help articles, documentation, policies, service descriptions, and other connected sources. The agent does not invent policies, pricing, hours, or procedures. You define what is true, what is current, what the AI can say, and what it should decline to answer. Your knowledge. Your rules. AI-powered execution.
AI agents for customer service are particularly effective for interactions that are frequent, predictable, and information-rich, or governed by clearly defined business rules. This includes explaining products and services, qualifying leads, collecting customer information, scheduling and rescheduling appointments, providing order or service updates, sending documents and links, routing requests, and providing service outside normal business hours.
Escalation should be triggered when a customer requests a person, the AI lacks sufficient information, the customer expresses frustration, the issue exceeds the agents defined authority, the subject matter is sensitive, or multiple resolution attempts are unsuccessful. Escalation is not a failure — it is a designed part of the architecture. The full conversation context is passed to the human agent so customers never have to start over.
Yes, and this is essential. A 2026 Gartner survey of 3,566 B2B and B2C customers found that 87% said access to a human agent was essential when companies use generative AI for customer service. Human escalation is a core feature of effective AI customer service, not an afterthought. The goal is to make human help easier to reach, not harder.
The most important measure is successful customer outcomes — did the customer accomplish what they wished to do? Beyond that, a complete measurement framework covers five dimensions: customer outcomes (resolution rate, CSAT, customer effort), AI performance (accuracy, task completion, appropriate escalation), operational efficiency (response time, cost per resolution), business impact (bookings, conversions, qualified leads), and continuous improvement (knowledge gaps, new intents, failed actions).
Most of the work is connecting your channels and pointing the agent at content you already have, rather than a long training period before it becomes useful. A typical deployment can be completed in a week, but it can be faster depending on your specific situation. Reach out to our team to get an estimated timeline for your business.