AI agents, email, widget and accountable operations
DobroDesk combines AI agents for email and website widget support with shared Inboxes, Teams, customer context, all-teammate access and policy-controlled automated replies with human handoff. Compare it with Chatbase when you need the agent and the support work around it to stay connected.
DobroDesk
Chatbase
Product center
Support operations across email and website conversations
Product center
AI agents for customer experience across chat, email and voice
Team access
Every teammate included; access controlled by Workspace roles, Inboxes and Teams
Team access
Member limits vary by plan; public add-ons list $25/month per additional human member and per extra AI agent
Usage pricing
Accepted customer conversations
Usage pricing
Plan limits and message credits
The real difference
Chatbase combines AI agents, customer channels and a built-in Helpdesk with assignment, teams, customer history and human oversight. Its agent platform brings together instructions, data sources, procedures, actions, guardrails, testing and deployment across chat, email and voice.
DobroDesk combines knowledge-backed AI answers, configured guided actions and shared Inboxes with visible ownership, Teams, permissions and customer history. Workspace and Inbox policies can use manual, approval or automatic reply modes, while confidence and risk checks keep sensitive or uncertain cases with a person.
Both products connect automation with human support. Chatbase centers a multi-channel agent platform with Helpdesk; DobroDesk centers shared Inboxes, team ownership and policy-controlled automation for email and website conversations.
At a glance
Chatbase publishes model, message-credit and member limits by plan and includes a Helpdesk for human support. DobroDesk prices accepted customer conversations, includes every teammate and keeps knowledge, AI policy and conversation ownership in the same support model.
Enter your monthly conversation volume. DobroDesk bills accepted conversations, while this comparison derives a planning team size and models each competitor's published seat or workspace price.
Calculated automatically from your conversation volume.
Default scenario: one AI agent with 3 AI replies per conversation (about 6 customer and AI messages). Extra action requests, drafts and retries use additional credits. Reply counts are editable planning assumptions.
Planning assumption for this volume: 10 frontline operators at 300 accepted conversations per operator per month for mixed email and support work. Capacity varies by case complexity and channel.
The base plan is €19 per month with every teammate included. It includes 300 accepted conversations, then each started 1,000-conversation package costs €24.
Price source: DobroDesk pricing€91
per month
AI replies and drafts included
Chatbase Standard is $150 with 4,000 credits and three included human members; Pro is $500 with 15,000 credits and five. Extra members cost $25 each. Extra credits are $15 per 1,000 on recurring monthly billing or $40 on non-expiring auto-recharge. This calculator chooses the lower published plan total for your team size and model assumptions. It estimates 3 AI replies per conversation at 1 credit per message by default; Actions, drafts and retries are excluded.
Price source: Chatbase pricing$400
per month
AI + Helpdesk credit plan:Standard
Estimated AI messages: 9,000
Estimated credits / plan credits: 9,000 / 4,000
1,000-credit top-up lots: 5 × $15
Human members: 3 included + 7 extra × $25
AI + Helpdesk credit-plan estimate; included human-member quota is shown separately. Actions, drafts and retries are excluded.
Reason
Chatbase is a serious AI agent platform. Its public product covers data sources, instructions, procedures, actions, guardrails, testing, deployment and a helpdesk for teams working across chat, email and voice. DobroDesk fits teams that want explicit ownership, workspace-scoped evidence, human boundaries and a queue that remains trustworthy when the AI cannot decide.
Reason 1
Chatbase begins with an agent lifecycle: connect sources, define the role, add guardrails, test real scenarios, deploy across channels and optimize from outcomes. That is a strong workflow when an AI agent is the product the team is building. Its current public product also includes a Helpdesk for human work alongside the agent.
DobroDesk starts one level earlier. A support email or website message enters a named Inbox, the Team with access is explicit and the next owner remains visible through a handoff. The same conversation keeps customer and company context, internal notes, service targets and the reply path. AI drafts and answers sit inside that operation. Choose DobroDesk when the primary question is who owns the customer work, not only how an agent should answer.
Reason 2
Chatbase's public plans put limits on members and message credits. Standard includes three human members and Pro includes five. The pricing page documents $40 per 1,000 non-expiring auto-recharge credits, while its current public add-ons payload lists $15 per 1,000 recurring monthly credits, $25/month per additional human member, $25/month per extra AI agent and $99/month to remove Chatbase branding. Enterprise pricing is custom, but headcount above five does not by itself establish Enterprise. That can be a good fit for a small team where only a few people build or operate agents. It becomes a different calculation when Finance needs to check a charge, Engineering needs the original message or a founder needs to take an escalation and the team needs to model both human-member and AI-credit additions.
DobroDesk includes teammates and controls access through Workspace roles, Inboxes and Teams. A colleague can inspect context, leave a private note, take a permitted action or hand the conversation back without changing the support meter. Compare the people who need to collaborate on real cases, rather than an abstract agent count. Chatbase may still be the better value when only one or two members need the agent builder and its message-credit model matches actual usage.
Reason 3
Chatbase documents guardrails, procedures and actions as part of the agent configuration. That is useful control: a procedure can ask for an order number, call an action and direct refunds to a human. Both platforms can use procedures and actions; the practical question is how the support team sees the evidence, risk and next owner when a case does not fit the procedure.
DobroDesk retrieves approved website sources, uploaded documents and other workspace knowledge, then exposes the supporting source, policy decision and selected action with the conversation. Billing, refunds, privacy, security, legal, abuse, deletion and clearly angry cases remain human by default. Low-confidence, stale or conflicting evidence also stops automatic sending. Choose Chatbase when a flexible agent procedure builder and its deployment surface fit the operation. Choose DobroDesk when the team needs a fixed review boundary and an operating trace around each reply.
Reason 4
DobroDesk's current text-support AI runs through Cloudflare Workers AI. It uses Cloudflare-hosted open-weight models for drafting, classification and knowledge retrieval, while approved website sources and uploaded documents are filtered to the workspace before they become evidence. The text-support path does not have a separately configured OpenAI or Anthropic endpoint.
Cloudflare's current Workers AI data-usage documentation says Customer Content is not used to train AI models or improve Cloudflare or third-party services without explicit consent. Open-weight models do not by themselves mean that no data is processed by a provider; the documented policy is what matters. Chatbase also publicly says customer data is not used to train models, so the useful distinction is DobroDesk's text-support path through Cloudflare and its documented processing boundary. Voice is separate: its current text answer and transcription use Cloudflare-hosted models while ElevenLabs TTS is an external provider subject to its own terms.
Reason 5
Chatbase lists a free tier and paid tiers with message-credit and member limits, plus Helpdesk, Voice and Telephony at higher levels. A message credit is not an accepted customer conversation: model, prompt and channel behavior can change how much work it represents. It would be misleading to turn the two products into a made-up cost-per-conversation estimate without a real workload test.
DobroDesk uses accepted customer conversations as its support meter and includes teammates, AI drafts and answers in the support base. Use a representative month for the decision: count customer conversations, collaborators, required channels and the cases that need a human. Keep Chatbase when its agent deployment, actions and broad channel surface create more value than the credit model costs. Choose DobroDesk when a support queue, predictable collaboration and a visible AI boundary are the work being purchased.
Reason 6
DobroDesk currently has no native Chatbase importer. Treat Chatbase agent instructions, procedures, guardrails, actions, data-source connections, widget configuration and message history as source material to review while planning the new workspace. The two systems do not automatically recreate each other's setup.
The practical path is controlled: retain the source configuration, map approved articles to the right Inboxes, recreate routing and human escalation, connect the website widget and support address, then run ordinary, ambiguous, billing and privacy scenarios. Keep Chatbase live until ownership, customer identity, evidence, replies and handoffs pass the test. Chatbase remains the better choice when rebuilding its agent procedures and actions would cost more than the current workflow is worth.
DobroDesk generates text replies and embeddings with open-weight models hosted by Cloudflare Workers AI. Approved knowledge is retrieved within your workspace.
Cloudflare states that Workers AI customer content is not used for model training or service improvement without explicit consent.
Voice has a separate processing path: speech synthesis can use ElevenLabs. Review voice and connected-provider terms separately.
When the queue gets busy
The useful test is what happens when automation meets a billing question, an absent teammate or a customer who needs a human decision.
General, Payments or Orders can each have their own Team, routing, permissions and service targets. The Channel describes where the message arrived; the Inbox describes where the work is handled.
DobroDesk retrieves approved website sources, uploaded documents and other workspace-scoped knowledge, can run configured guided actions and keeps source, risk decision and action context beside the conversation. The model is not asked to invent a missing policy.
Configured risk rules stop billing, privacy, security, legal, abuse, deletion, angry-customer and conflicting-knowledge cases from automatic sending. Approved routine cases can use automatic mode when the configured confidence and grounding checks pass.
Make the trade-off explicit
Before cutover
DobroDesk does not currently claim a native Chatbase importer. Treat the move as a controlled rebuild: retain the source configuration, connect the support address and website widget, recreate approved knowledge and routing, then run representative conversations before changing live traffic.
Current public facts
Chatbase's public monthly plans list Free at $0 with 50 message credits and 1 member, Hobby at $40 with 700 credits and 2 members, Standard at $150 with 4,000 credits and 3 members including Helpdesk, Voice and Telephony, and Pro at $500 with 15,000 credits and 5 members. The pricing page lists $40 per 1,000 auto-recharge credits that do not expire, while its current public add-ons payload lists $15 per 1,000 recurring monthly credits, $25/month per additional human member, $25/month per extra AI agent and $99/month to remove Chatbase branding. Enterprise pricing is custom; headcount above five does not by itself establish Enterprise. Model choice changes credit consumption, so message credits are not accepted customer conversations and should not be presented as equivalent. DobroDesk's EUR 19 base includes 300 accepted Conversations, unlimited teammates, AI and 3 active published Automations, with no Voice minutes or Phone. Text support AI currently runs through Cloudflare Workers AI using catalog model IDs and workspace-scoped Vectorize. Cloudflare says Workers AI Customer Content is not used to train AI models or improve Cloudflare or third-party services without explicit consent. This is a documented processing and training policy, not a claim that Chatbase lacks privacy controls: Chatbase also publicly says customer data is not used to train models. Voice has a separate optional path and should be assessed by its configured provider terms.
Public pages checked 8 October 2026
Before choosing Chatbase or DobroDesk
DobroDesk combines knowledge-backed AI answers, configured guided actions and shared Inboxes. Its policies can use manual, approval or automatic mode with confidence and risk checks. Chatbase combines AI agents, multiple channels and a built-in Helpdesk, so compare the two operating models rather than treating either product as only a chatbot.
There is no native Chatbase importer currently. Rebuild the approved knowledge, routing and review rules, then test the website widget and support address before moving live traffic. Do not describe this as an automatic historical migration.
The current text support path invokes Cloudflare Workers AI through the Cloudflare AI binding and uses workspace-scoped retrieval. Cloudflare's current Workers AI data-usage terms say Customer Content is not used to train AI models or improve Cloudflare or third-party services without explicit consent. The configured voice path can use a separate provider, so voice processing must be reviewed separately.
The meters are different. Chatbase uses plan limits, message credits and member limits. DobroDesk uses accepted customer conversations and includes teammates. Compare your real support conversations, collaborators and required channels instead of comparing the first prices alone.
Test the operating model
Connect a support address, invite the people who need context and run a normal question alongside a billing or privacy case. The difference becomes clear when the team has to decide who owns the next action.
