Landbot AI employee
A Superkind AI employee that checks chats, summarises tickets, drafts replies, and assigns requests to the right agents in Landbot. Message it in Teams or Outlook, it does the work in Landbot and reports back with the result. It waits for your approval before sensitive actions.
- Hosted in the EU
- GDPR data processing agreement
- Ready to start today
- Works in Teams, Slack and more
What is a Landbot AI employee?
A Landbot AI employee is an AI that connects to your Landbot account and completes work in it. It checks chats, summarises tickets, drafts replies, and assigns open requests to the right agents. Superkind builds this AI employee with your company knowledge and delivers the finished result to wherever your team works.
Unlike workflow builders such as Zapier or Make, there is nothing to configure. You describe the outcome in plain English, the AI employee picks the right Landbot actions, chains them with your other systems, and asks for your approval before sensitive steps.
Landbot is a platform for conversational bots, automated chats, and personal handovers to support and sales teams.
You ask in Teams
Describe what you need in plain English.
Superkind picks the actions
Selects the right Landbot actions and chains them together.
Superkind works in Landbot
Checks chats, summarises tickets, and assigns requests. Your real data.
Superkind reports back
Delivers the finished result to Teams or Outlook.
What can you ask Superkind to do in Landbot?
Messages you would actually send. Copy one, swap in your specifics, and Superkind takes it from there.
“Summarise all of today's open Landbot tickets by topic, urgency, and customer for our morning review.”
you, to @Superkind“Draft a reply to this Landbot ticket using our returns policy and show it to me.”
you, to @Superkind“Assign the payment issue ticket in Landbot to the agent on the billing team.”
you, to @Superkind“Let me know here as soon as an urgent Landbot ticket remains unanswered for more than 30 minutes.”
you, to @SuperkindHow does Superkind work with Landbot?
- Native integrations and connectors for 1,000+ tools
1Connect your systems
Connect Landbot securely to Superkind. Add Teams and the systems your support team already uses. Superkind handles the connection and only checks approved data.
@Superkind summarise today's urgent Landbot tickets and draft a reply for the payment issue.
On it. I am checking the urgent Landbot chats and preparing the reply.
2Tell Superkind what you need
Message your AI employee in Teams like a colleague. Ask it to summarise open Landbot chats or draft a reply. Plain English is enough, Superkind picks the right actions.
- 3 urgent chats checked
- Ticket 184 needs billing
- Customer reply draft created
Ticket 184 replyWaiting for your approvalSend reply to customer?3Superkind operates, you approve
Superkind completes the work in Landbot and reports in Teams what it found. A sensitive message, assignment, or change waits for your approval. Every step is logged.
What can Superkind do in Landbot?
Ask in plain English from Teams or Outlook. Superkind picks the right Landbot actions, completes the work, and reports back. No workflows to build.
List channels
Lists Landbot channels with ID and channel type.
Filter channel customers
Filters customers by a specific Landbot channel.
List WhatsApp templates
Lists available WhatsApp templates with language and status.
Compare channel volume
Compares the number of customers across Landbot channels.
List customers
Lists Landbot customers with channel, status, and latest activity.
Search customers
Finds customers by name, email address, or phone number.
Get customer profile
Reads the profile, custom fields, and tags of a Landbot customer.
Filter open customers
Filters unarchived customers by channel or assigned agent.
Archive customer
Archives the conversation of a resolved Landbot customer.
Get messages
Reads incoming and outgoing messages from a Landbot chat.
Summarise tickets
Summarises message histories as tickets with topic and urgency.
Draft reply
Creates a suitable reply draft from the chat history and company knowledge.
Send text message
Sends an approved text message to a Landbot customer.
Send WhatsApp template
Sends an approved WhatsApp template to a customer.
Read customer fields
Reads Landbot customer fields with value and data type.
Find missing fields
Finds customers without required values in defined fields.
Compare field values
Compares field values between selected customer groups.
Update customer field
Updates the value and data type of an existing customer field.
Check assignments
Shows the assigned bot or agent for each Landbot customer.
Assign customer agent
Assigns a customer to a specific Landbot agent.
Assign customer bot
Assigns a customer to a specific Landbot bot.
Set bot entry
Starts a customer at an approved block in the bot.
List message hooks
Lists registered message hooks for a Landbot channel.
Check message hook
Checks the URL, name, and token configuration of a message hook.
Filter customer opt-ins
Filters Landbot customers by their opt-in status.
Find unread customers
Finds customers with unread messages for follow-up.
Superkind AI employees that work with Landbot
Every role brings its expertise and uses Landbot as one of its tools.
Companies working with Superkind
Frequently asked questions
Everything you need to know about your AI employee for Landbot.
Yes. Superkind connects Landbot through a managed connector. Once connected, your team can put the AI employee to work with chats, customers, messages, and agents from Microsoft Teams or Outlook. There is no workflow builder and no custom code. The AI employee only receives the permissions required for the agreed use case.
An admin connects the Landbot workspace and confirms the required API permissions. Superkind then reviews with you which bots, chats, and customer data the AI employee may access. We configure the connection during onboarding, test it with real examples, and limit access to the agreed scope of work.
It can list bots and chats, read customer profiles, summarise tickets, draft replies, check messages, assign requests to agents, and review teams. The list above shows typical actions using Landbot objects. During onboarding, you decide which actions run independently and which require approval based on your processes and responsibilities.
No. With Zapier or Make, you build triggers, conditions, and steps and maintain them when things change. With the AI employee, you simply describe the desired result in Teams or Outlook. Superkind picks the right Landbot actions, combines them with Zendesk or HubSpot when needed, and asks when details are missing or a step is unclear.
Only with your approval. Superkind can read chats, summarise tickets, and prepare replies as drafts. Before a message is sent to a customer, a chat is assigned to an agent, or a bot is published, the AI employee waits for a responsible person to approve it in Teams. Your team determines which Landbot actions count as sensitive.
Superkind is hosted in the EU and signs a GDPR data processing agreement with you. The AI employee works with minimal Landbot permissions and only within the agreed scope. Your chats, customer data, and messages are not used for training. Access and actions are logged so your team can always trace what was read or changed.
Landbot offers paid plans that can sit in the low hundreds of euros per month, depending on features. Zapier starts at around 20 euros per month and Make at around 10 euros per month, both plus setup and maintenance time. Superkind is priced per use case, a fraction of a full-time hire, and handles the agreed work across multiple systems.