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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

Clear seat pricing for the support setup you actually want.

Dchat separates managed AI, customer-managed AI, and human support access so teams can choose the operating model that fits their workflow.

Fastest launch Choose Dchat-managed AI

Best for teams that want the quickest path to a polished live chat without managing provider keys on day one.

More control Choose customer-managed AI

Best for teams that want direct ownership of the OpenAI key, clearer internal cost tracking, or tighter governance.

Human backup Add support seats where needed

Best for teams that want AI to handle the repetitive layer while people step into the conversations that need judgment.

A support professional smiling while working on a laptop
What you are really buying Coverage that feels warm to visitors and still gives your team a clean operating model behind the scenes.
Pricing with context

These seats map to real support choices, not vague plan names.

Dchat separates launch speed, AI ownership, and human backup so pricing follows how support actually runs day to day.

Launch fast

Dchat-managed AI keeps the setup path short when you want to go live quickly.

Keep ownership visible

Customer-managed AI keeps provider choice and internal governance in your hands.

Protect the handoff moments

Human seats cover the questions where judgment, tone, or account access matter more.

Fastest setup

Dchat-managed AI

$29 / AI seat / month

Dchat manages the AI key so the workspace can be configured quickly. final AI cost depends on usage.

Best for teams that want the shortest path from setup to live support.

  • Full widget, inbox, routing, branding, and reporting surface
  • Knowledge base, prompts, model settings, and site crawl tools
  • White-label controls, proactive chat, ratings, and contacts
See the dashboard

Customer-managed AI

$15 / AI seat / month

Bring your own OpenAI key and pay the provider directly for AI usage while keeping the same Dchat support surface.

Best for teams that want AI ownership and provider-level cost control.

  • Direct control over the AI key and provider configuration
  • Same widget, routing, inbox, and knowledge tools as managed mode
  • Useful when AI ownership and internal cost controls matter
Configure workspace

Human support seats

$15 / agent / month

Add human teammates who take over the conversations AI should not own alone and keep the thread moving inside the same inbox.

Best for teams that want a smooth handoff path instead of leaving people stuck with the bot.

  • Shared transcript between AI and human support
  • Team access, canned responses, and contact context
  • Works alongside either managed or customer-managed AI
Add team seats
How teams usually buy

Most teams start with one AI seat, then add human support where exceptions happen.

The simplest rollout is usually one AI seat for first-response coverage and a few human seats for handoff, escalation, and account-sensitive issues. You can keep the same workspace either way.

Smallest useful setup

Start with one AI seat to cover the repetitive layer, then add people once you know which conversations need a human touch.

Control-first rollout

Use customer-managed AI when procurement, governance, or provider ownership matters from the beginning.

Visitor-first experience

Keep human seats available for the moments where tone, judgment, or account access matter more than speed alone.

Three quick questions usually make the right plan obvious.

Do you want the fastest launch?

If yes, Dchat-managed AI is usually the better starting point.

Do you need direct provider ownership?

If yes, customer-managed AI gives you the cleanest governance story.

Will some conversations need a person?

If yes, plan for human support seats so handoff feels smooth instead of reactive.

Decision check

Compare the workflow, not just the sticker price.

Review the live widget, support workspace, and deployment path alongside the seat structure before deciding how you want to run support.