Dixa AI employee
A Superkind AI employee that summarises tickets, drafts replies, assigns conversations, and checks customer data in Dixa. Message it in Teams or Outlook, it works in Dixa and reports back with the result. Sensitive actions wait for your approval.
- Hosted in the EU
- GDPR data processing agreement
- Ready to start today
- Works in Teams, Slack and more
What is a Dixa AI employee?
A Dixa AI employee connects to your Dixa account and completes specific tasks there. It summarises conversations, drafts replies, checks customer data, and assigns tickets to the right queue. Superkind builds it with your company knowledge, service policies, and reply patterns.
Unlike Zapier or Make, there is nothing to configure. You describe the outcome, the AI employee picks the right Dixa actions, chains them with your other systems, and asks for your approval before sensitive actions run.
Dixa is a customer service platform for conversations across email, chat, phone, and social channels, with routing, knowledge, and analytics.
You ask in Teams
Describe what you need for a Dixa conversation in plain English.
Superkind picks the actions
Selects the right Dixa actions and connects them with your systems.
Superkind works in Dixa
Reads conversations, drafts replies, and prepares assignments using your real data.
Superkind reports back
Delivers the finished result in Teams or Outlook and waits on sensitive steps.
What can you ask Superkind to do in Dixa?
Messages you would actually send. Copy one, swap in your specifics, and Superkind takes it from there.
“Summarise the open Dixa tickets in the returns queue and group them by the most common request.”
you, to @Superkind“Draft a friendly reply for this Dixa conversation using our returns policy in Notion.”
you, to @Superkind“Assign the Dixa ticket about the missing refund to the Payments queue and let me know.”
you, to @Superkind“Let me know here as soon as an urgent Dixa ticket waits over 30 minutes without a reply.”
you, to @SuperkindHow does Superkind work with Dixa?
- Native integrations and connectors for 1,000+ tools
1Connect your systems
Dixa connects securely through an API token. Add Teams and the systems your service team uses every day. Superkind handles the connection and checks the required permissions.
@Superkind summarise the urgent Dixa tickets in the returns queue and draft a reply for the oldest ticket.
On it. I am checking the urgent conversations in Dixa and preparing the reply.
2Tell Superkind what you need
Message your AI employee in Teams like a colleague. Ask it to summarise Dixa conversations or draft a reply. Plain English is enough, Superkind picks the right actions.
- 3 conversations summarised
- Returns queue: high priority
- Draft saved as internal note
Internal note createdWaiting for your approvalSend reply to customer?3Superkind operates, you approve
Superkind completes the task in Dixa and reports back in Teams. A reply, assignment, or customer data change waits for your approval. Every step is logged.
What can Superkind do in Dixa?
Ask in plain English from Teams or Outlook. Superkind picks the right Dixa actions, completes the work, and reports back. No workflows to build.
Search conversations
Finds Dixa conversations by text, channel, status, queue, or end user.
Get conversation
Reads a Dixa conversation with its status, channel, assignment, and timestamps.
Summarise conversations
Summarises messages, internal notes, and the history of several conversations.
Check conversation status
Checks whether a conversation is open, closed, reopened, or marked for follow-up.
Export conversations
Exports conversations from a period with their wrap-up notes for analysis or audits.
Get messages
Reads all customer messages in a conversation, including their channel and attachments.
Draft reply
Creates a reply draft from the conversation history, company knowledge, and service policies.
Send customer reply
Sends an approved message in the existing Dixa conversation.
Get attachments
Retrieves file attachments and call recordings from messages in a conversation.
Search end users
Finds Dixa end users by name, email address, or phone number.
Get end user
Reads an end user profile, contact endpoints, custom attributes, and previous conversations.
Create end user
Creates an end user profile with a name and contact endpoints in Dixa.
Update customer attributes
Changes custom attributes in a Dixa end user profile.
List queues
Lists Dixa queues with names, priority, and routing settings.
Check queue availability
Checks the current availability and workload of a Dixa queue.
Assign conversation
Transfers a Dixa conversation to the right queue or agent.
Get queue position
Shows the current position of a conversation in its queue.
List conversation flows
Lists the conversation flows available for routing in Dixa.
List agents
Lists Dixa agents with their name, role, and current status.
Check agent presence
Checks the presence and working channel of a Dixa agent.
List teams
Lists teams in Dixa with their names and assigned agents.
Get team members
Shows the agents and roles of a specific Dixa team.
Create internal note
Writes an internal note with context directly to the Dixa conversation.
Get conversation tags
Lists all active and inactive tags on a Dixa conversation.
Tag conversation
Adds an existing or new tag to a Dixa conversation.
Anonymise conversation
Requests anonymisation of a Dixa conversation for data protection.
Superkind AI employees that work with Dixa
Every role brings its expertise and uses Dixa as one of its tools.
Companies working with Superkind
Frequently asked questions
Everything you need to know about your AI employee for Dixa.
Yes. Superkind connects your Dixa account through a managed connector. The AI employee can then read conversations, messages, end users, queues, and internal notes and complete agreed tasks. Your team messages it in Teams or Outlook. It only receives the permissions required for your defined use case.
A Dixa admin creates a dedicated API token and grants only the required permissions. We configure the connection with you, check access to conversations, queues, and end users, and test the agreed tasks. Your team can then message the AI employee directly from Teams or Outlook.
It can search and summarise Dixa conversations, read messages, draft replies, check end users and custom attributes, review queue workloads, and prepare internal notes. With approval, it can also send replies, assign conversations, add tags, or change customer data. Available actions depend on your permissions and agreed use case.
No. With Zapier or Make, you define triggers, conditions, and individual steps and maintain them when something changes. With the AI employee, you describe the desired outcome in plain English. Superkind selects the right Dixa actions, connects them with Notion, HubSpot, or Outlook when needed, and asks when information is missing.
Only with your approval. Superkind can read conversations, summarise them, and prepare reply drafts independently. Before a message is sent to a customer, a conversation is assigned to another queue, or an end user profile is changed, the AI employee waits for a responsible person to approve it in Teams. Your team decides which Dixa actions are sensitive.
Superkind is hosted in the EU and signs a GDPR data processing agreement with you. Dixa access follows the principle of least privilege and is limited to your use case. Your data is not used for training. Actions and approvals are logged so your team can always trace what was read or changed.
Dixa publicly lists paid plans starting at about 89 euros per user per month. Zapier starts at about 20 euros and Make at about 10 euros per month, both plus setup and maintenance time. Superkind is priced per use case, a fraction of a full-time hire, and completes the agreed work directly in Dixa and your other systems.