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AI-first chat with human handoff Bring your own AI key or use Dchat-managed AI. White-label controls included.
Dchat

Everything your team needs to offer fast, helpful website support.

Dchat gives visitors quick answers and your team a clean place to step in, improve content, and keep the whole experience on brand.

How the pieces fit together

The strongest features are the ones visitors never have to think about.

People just notice that the chat feels clear, the answer sounds informed, and a real person is easy to reach when the question gets more nuanced.

Polished on the front end

Branding, prompts, copy, and handoff cues make the widget feel intentional from the first interaction.

Organized on the team side

AI and human replies stay in one transcript so the support flow feels steady instead of fragmented.

Easy to improve over time

Knowledge, routing, reporting, and ratings give the team practical levers to tune what happens next.

Two teammates collaborating at a laptop while reviewing support work
Support quality is a product feeling The best feature set is the one that makes the conversation feel calm, informed, and easy to continue.

Branded chat experience

Adjust launcher shape, colors, welcome copy, starter prompts, templates, and white-label behavior so the chat surface feels like part of your product rather than a pasted-on plugin.

AI setup that fits your team

Use a Dchat-managed OpenAI key or your own key, then configure model settings, prompts, escalation behavior, and knowledge grounding per workspace.

One shared support inbox

Your team sees AI-owned, waiting, and resolved conversations in one live view with transcript continuity between AI and human replies.

Smart routing and easy handoff

Route by keyword, let visitors request a person, and keep the full thread intact when ownership moves from AI to a human teammate.

Conversation details that feel polished

Typing indicators, file attachments, offline capture, chat ratings, and proactive triggers cover the details visitors and support teams notice right away.

Workspace controls in one place

Manage contacts, agents, billing, reporting, workspace settings, and deployment-sensitive choices without leaving the support product.

Made to help your team step in quickly when AI needs backup.

When a question needs a person, the handoff should feel organized and calm. Dchat keeps the context, the shortcuts, and the next steps close at hand.

Typing and transcript awareness

Support teammates can see visitor typing activity in the conversation view and respond with better timing when a thread shifts to human support.

Canned responses and reply starters

Store common replies with shortcuts so your team 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 pipeline

Maintain articles directly, import content from URLs, and use site crawl support so the assistant has a clearer answer base before a human ever needs to step in.

Usage and billing visibility

Review plan state, AI usage summaries, and seat configuration from the same dashboard your team already uses.

Workspace controls

Tune locale, retention, branding, routing, team permissions, and rollout settings without custom code changes after the initial install.

See what is working and what your team should improve next.

Dchat keeps the core signals close to the inbox so teams can tune prompts, content, routing, and seat mix from evidence instead of guesswork.

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 team 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.