AI Chatbot and Conversational AI Platform
Launch an AI chatbot that answers from your own help center, policies, and product documentation — on your website, in your workspace, and across messaging channels. It resolves the routine questions instantly and hands the rest to your team with the full conversation attached.
Features
Powerful Capabilities, Built for Scale
Every tool you need to run a world-class operation, from day one to enterprise scale.
Answers Grounded in Your Content
Replies are drawn from your help center, policy documents, product pages, and past resolved tickets rather than from general model knowledge. Every response can cite the source passage it used.
Conversational Context
The assistant tracks what has already been said, so a customer can ask a follow-up with a pronoun and still be understood. Clarifying questions replace dead-end fallback messages.
Deploy Across Channels
One configuration serves your website widget, in-app panel, Slack or Teams workspace, and messaging channels. Content and tone stay consistent wherever the conversation happens.
Multilingual Conversations
Visitors ask in their own language and receive an answer sourced from your English-language documentation. There is no separate translated knowledge base to maintain.
Handoff With Full Context
When a conversation needs a person, the transcript, the customer record, and the assistant's best understanding of the issue travel with it. Nobody has to ask the customer to start again.
Lead Qualification and Routing
On marketing pages the assistant asks qualifying questions naturally in conversation, then books a meeting or routes the contact to the right owner. Qualified interest reaches sales while it is still warm.
Conversation Analytics
See the questions being asked most often, where answers were rated unhelpful, and which topics drive escalation. Content gaps show up as a ranked list of what to write next.
Data Controls and Redaction
Sensitive fields are masked before they are stored, retention windows are configurable, and the assistant can be restricted to authenticated users for account-specific answers.
How It Works
Up and Running in Three Simple Steps
Connect Your Sources
Point the platform at your help center, documentation, uploaded policies, and resolved ticket history. Indexing runs automatically and refreshes as your content changes.
Set Tone and Boundaries
Define how the assistant speaks, which topics it must never answer on its own, and the conditions under which it should offer a human straight away.
Publish and Refine
Embed the widget or enable a channel, then use the unanswered-question report each week to close content gaps and steadily raise the containment rate.
A closer look at Workisy conversational AI
A conversational surface for the questions people repeat every day
Support and sales teams answer a surprisingly small set of questions a surprisingly large number of times. Where is my order, does the plan include this feature, what is the policy on carry-over leave, can someone walk me through setup. Each one is easy in isolation and expensive in aggregate, because it interrupts someone whose real value lies in the harder cases sitting further down the queue.
A chatbot earns its place by absorbing that repeated volume without degrading the experience. The bar is answers that are correct, sourced from your own material, and delivered instantly at whatever hour the question arrives. When the assistant is unsure, the right behavior is a fast, well-briefed handoff rather than a confident guess — which is why containment rate and satisfaction have to be read together, never in isolation.
Serving customers on the outside and employees on the inside
The same conversational layer is valuable on both sides of the business. Facing outward it sits on product and pricing pages, resolves routine service questions, and qualifies interest before a salesperson is involved — a natural extension of an AI customer service program. Facing inward it becomes the front door to policy, benefits, and process questions that would otherwise land in an HR or IT inbox.
Internal deployments often produce the quicker win, because the content is already written and the audience is finite. Pairing the assistant with employee self-service means staff get an answer conversationally and are then taken straight to the form or record that completes the request, instead of being handed a link and left to navigate.
Where a chatbot ends and other AI surfaces begin
Clear boundaries keep expectations honest. A chatbot is a typed, turn-by-turn interface optimized for understanding and answering. When the same conversation needs to happen over a phone line, the constraints change entirely — speech recognition, interruption handling, and sub-second latency — and that is the job of AI voice agents. When nobody is waiting on the other end and the objective is to finish a piece of multi-system work, an AI agent is the right component.
The dependency all three share is a well-maintained source of truth, which is why a solid AI knowledge base is usually the first investment worth making. Once that content is in order, adding channels becomes configuration rather than a new project — book a walkthrough to see the same assistant answering across web, chat, and messaging.
Results That Speak for Themselves
Measurable Impact on Your Business
Conversations Fully Contained
First-Response Time
Languages Understood
FAQ
Frequently Asked Questions
Ready to See It in Action?
Book a personalized demo and discover how Workisy can transform your operations in weeks, not months.