Re:amaze AI employee

A Superkind AI employee that summarises tickets, drafts replies, assigns conversations, and checks contact data in Re:amaze. Message it in Teams or Outlook, it does the work in Re:amaze 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 Re:amaze AI employee?

A Re:amaze AI employee connects to your Re:amaze account and completes work in it. It summarises conversations, drafts messages, assigns tickets, and maintains contacts. Superkind builds it with your company knowledge, service rules, and response standards.

Unlike Zapier or Make, there is nothing to configure. You describe the outcome in plain English, the AI employee picks the right Re:amaze actions, chains them with your other systems, and asks for your approval before sensitive changes.

About Re:amaze

Re:amaze is a customer service platform for shared inboxes, live chat, social channels, contacts, conversations, and knowledge base articles.

  1. You ask in Teams

    Describe what you need for a ticket in plain English.

  2. Superkind picks the actions

    Selects the right Re:amaze actions and chains them together.

  3. Re:amaze

    Superkind works in Re:amaze

    Reads conversations, drafts messages, and prepares assignments.

  4. Superkind reports back

    Delivers the summary or draft to Teams or Outlook.

Try asking

What can you ask Superkind to do in Re:amaze?

Messages you would actually send. Copy one, swap in your specifics, and Superkind takes it from there.

Summarise today’s open Re:amaze tickets for me and group them by topic and urgency.

you, to @Superkind

Draft a friendly reply to the Re:amaze ticket about the delayed delivery using our returns policy.

you, to @Superkind

Assign the Re:amaze ticket about the account lockout to IT support and add the existing customer context.

you, to @Superkind

Let me know here as soon as an urgent Re:amaze ticket waits over two hours without a reply.

you, to @Superkind
How it works

How does Superkind work with Re:amaze?

  1. Native integrations and connectors for 1,000+ tools

    1Connect your systems

    We connect Re:amaze securely through the API and grant only the required permissions. Teams becomes the place for your requests and approvals. Superkind tests the connection and is ready to start today.

  2. Sophie Wagner9:12 AM

    @Superkind summarise the urgent Re:amaze tickets, draft a reply for #1842, and assign it to Anna.

    @SuperkindApp9:13 AM

    On it. I am checking the urgent conversations and preparing the reply and assignment.

    2Tell Superkind what you need

    Message Superkind in Teams like a colleague. Ask for a summary of open Re:amaze conversations or a reply draft. Plain English is enough because Superkind knows your rules and customer context.

  3. @SuperkindApp9:14 AM
    • 4 urgent conversations found
    • Reply for #1842 drafted
    • Assignment to Anna prepared
    Re:amaze
    Draft for #1842VIP customer · Returns
    Waiting for your approvalAssign ticket to Anna?

    3Superkind operates, you approve

    Superkind reads the Re:amaze conversation, completes the task, and reports the result in Teams. A sent message, new assignment, or other sensitive change waits for your approval. Every step is logged.

Actions

What can Superkind do in Re:amaze?

Ask in plain English from Teams or Outlook. Superkind picks the right Re:amaze actions, runs the work, and reports back. No workflows to build.

  • Conversations

    Search conversations

    Finds Re:amaze conversations by text, tags, status, channel, date range, or assignee.

  • Conversations

    Get conversation

    Retrieves one conversation with subject, status, author, assignee, tags, and latest customer message.

  • Conversations

    Summarise tickets

    Summarises the history and open points of selected Re:amaze conversations.

  • ConversationsNeeds approval

    Create conversation

    Creates a new conversation in a selected channel with subject, message, contact, and tags.

  • ConversationsNeeds approval

    Update conversation

    Changes the status, assignee, tags, or channel of an existing Re:amaze conversation.

  • Messages

    List messages

    Lists messages by conversation, channel, sender, origin, tag, or date range.

  • Messages

    Get message

    Reads the body, sender, recipients, and attachments of a Re:amaze message.

  • Messages

    Draft reply

    Creates a suitable reply draft from the conversation, company knowledge, and response templates.

  • MessagesNeeds approval

    Send reply

    Publishes an approved message as a reply in the relevant Re:amaze conversation.

  • MessagesNeeds approval

    Add internal note

    Adds an internal note visible only to staff in a Re:amaze conversation.

  • Contacts

    Search contacts

    Finds Re:amaze contacts by name, email address, mobile number, or data field.

  • Contacts

    Get contact

    Retrieves profile data, identities, and notes for one Re:amaze contact.

  • Contacts

    List identities

    Shows a contact’s email addresses, phone numbers, and other identities.

  • Contacts

    Compare contact

    Compares a Re:amaze contact with data from HubSpot or Outlook without saving changes.

  • ContactsNeeds approval

    Update contact

    Creates or changes contact data and identities in the Re:amaze account.

  • Articles

    List articles

    Lists Re:amaze articles from the public or internal knowledge base.

  • Articles

    Get article

    Reads the title, body, status, and other fields of a Re:amaze article.

  • Articles

    Find knowledge gaps

    Compares frequent conversation topics with existing articles and identifies missing content.

  • ArticlesNeeds approval

    Publish article

    Creates or updates a Re:amaze article with a title, body, and defined visibility.

  • Reports

    Analyse volume

    Retrieves conversation volume for a period and selected Re:amaze channels.

  • Reports

    Analyse response times

    Shows Re:amaze response time by period and channel.

  • Reports

    Analyse staff performance

    Retrieves staff report data for selected Re:amaze team members and periods.

  • Reports

    Analyse tags

    Shows conversation volume by Re:amaze tags for the selected period.

  • Reports

    Compare channels

    Compares the volume and activity of Re:amaze channels during a period.

  • Other

    List channels

    Lists the names, slugs, and types of all Re:amaze channels for a brand.

  • Other

    Get satisfaction ratings

    Retrieves customer satisfaction ratings with score, comment, and associated conversation.

  • Other

    Check status incidents

    Lists Re:amaze status page incidents and their affected systems.

Works with your stack

Superkind uses Re:amaze together with your other systems

Ask for outcomes across tools. The AI employee connects Re:amaze tickets with customer knowledge from your stack and delivers a finished reply or next action.

Matching AI employees

Superkind AI employees that work with Re:amaze

Every role brings its expertise and uses Re:amaze as one of its tools.

Companies working with Superkind

CG Group
CG Real Estate
Ecobuilding
Nivocare
Lindenstrom
Tylrus
Lorvan
Voelpker
Voelpker
Lorvan
FAQ

Frequently asked questions

Everything you need to know about your AI employee for Re:amaze.

Yes. Superkind connects Re:amaze through its official API as a managed integration. Your team can then put the AI employee to work in Re:amaze from Microsoft Teams or Outlook. It reads conversations, messages, contacts, and articles and only uses the functions you approve for the agreed service process.

A Re:amaze admin generates a personal API token in the developer settings. We connect it securely to the relevant brand and review the required permissions together. You then test typical tasks directly in Teams. Superkind sets up the connection with you during onboarding, so you do not need to build webhooks or custom integration logic.

It can search and summarise conversations, draft replies, prepare messages and internal notes, check contacts, analyse articles, and compile reports on volume or response times. After approval, it can also assign conversations, send replies, or update contact data. You decide with Superkind which Re:amaze actions are available in daily work.

No. With Zapier or Make, you define triggers, filters, and individual steps and keep them updated. With the AI employee, you simply describe the desired outcome in Teams or Outlook. Superkind picks the right Re:amaze actions, connects other systems when needed, and asks when information is missing or a decision is required.

Only with your approval. Superkind can read conversations, summarise them, and prepare reply drafts. Before a message reaches a customer, an assignee changes, or a contact is overwritten, the specific action appears in Teams for review. Only an authorised team member can approve it. Your team decides which other Re:amaze actions are sensitive.

Superkind is hosted in the EU and signs a GDPR data processing agreement with you. The AI employee receives only the minimum required Re:amaze permissions. Your conversations, messages, and contacts are not used to train models. Access and actions are logged so your team can always trace what was read, prepared, or changed after approval.

Re:amaze Basic starts at about 29 US dollars per user per month, Pro at about 49, and Plus at about 69. The Starter plan costs about 59 US dollars 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.

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