Branded widget
Adjust launcher shape, colors, welcome copy, starter prompts, and white-label behavior so the widget fits the product around it.
Features
Focused on the support workflow that teams actually run.
Dchat keeps the core support loop tight: AI replies, human takeover, a live operator workspace, and the controls needed to tune the experience over time.
AI configuration
Use a Dchat-managed OpenAI key or your own key, then configure system prompts, handoff behavior, and model settings per workspace.
Real-time operator inbox
Operators see AI-owned, waiting, and resolved conversations in one live view with transcript continuity between AI and human replies.
Routing and handoff
Route by keyword, let visitors request a person, and keep the full thread intact when ownership moves from AI to a human operator.
Conversation essentials
Typing indicators, file attachments, offline capture, and chat ratings cover the details visitors and operators both expect.
Team workspace
Manage contacts, agents, billing, reporting, and workspace-level settings without leaving the support product.
Operator workflow
Tools that keep the inbox moving.
The day-to-day operator experience stays centered on speed, clarity, and staying aligned with what the AI is doing.
Typing awareness
Operators can see visitor typing activity in the conversation view and respond with better timing when a thread shifts to human support.
Canned responses
Store common replies with shortcuts so operators can reuse trusted language instead of rewriting the same answers all day.
Proactive chat
Configure proactive triggers for the pages or moments where a nudge is more useful than waiting for the first visitor message.
Knowledge tools
Maintain articles directly, import content from URLs, and use site crawl support so the knowledge base stays close to the product.
Usage and billing visibility
Review plan state, AI usage summaries, and seat configuration from the same dashboard your operators already use.
Workspace controls
Tune locale, retention, branding, routing, and operator permissions without custom code changes after the initial install.
Signals and reporting
Turn support activity into something your team can improve.
Dchat keeps the key operating signals close to the inbox so teams can adjust prompts, content, and routing based on what actually happens in conversations.
Lead capture
Capture names, emails, and phone numbers during the conversation so support activity can also grow into a usable contact record.
Site crawl and URL import
Pull help content into the knowledge base without rebuilding it all by hand every time your public documentation changes.
Chat ratings
Collect post-conversation feedback so teams can spot quality issues and see whether routing or content needs attention.
Reporting
Review conversation volume, response timing, and resolution trends so AI and operator decisions can be tuned from evidence instead of guesswork.
Custom AI prompts
Define tone, boundaries, escalation rules, and domain instructions so the assistant behaves like part of the team instead of a generic chatbot.
Model and provider choice
Keep AI behavior close to your cost and governance preferences by choosing the provider mode that fits the way your team operates.