Gleap AI employee
A Superkind AI employee that summarises tickets, drafts replies, assigns requests, and monitors urgent cases in Gleap. Message it in Teams or Outlook, it works in Gleap 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 Gleap AI employee?
A Gleap AI employee is an AI that connects to your Gleap account and completes work in it. It summarises tickets, reads messages, checks contacts, and prepares replies. 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. No triggers, no zaps, nothing to maintain. You describe the outcome in plain English, the AI employee picks the right Gleap actions, chains them with your other systems, and asks for your approval before sensitive actions run.
Gleap brings customer support, in-app feedback, bug reports, a help center, a product roadmap, and engagements into one platform.
You ask in Teams
Describe what you need in plain English.
Superkind picks the actions
Selects the right Gleap actions and chains them together.
Superkind works in Gleap
Reads tickets, checks messages, and prepares replies. Your real data.
Superkind reports back
Delivers the finished result to Teams or Outlook.
What can you ask Superkind to do in Gleap?
Messages you would actually send. Copy one, swap in your specifics, and Superkind takes it from there.
“Summarise all open Gleap tickets about payment problems and identify patterns and affected plans.”
you, to @Superkind“Draft a friendly reply for this Gleap ticket based on our help center.”
you, to @Superkind“Assign the open Gleap tickets from the payment portal to support and sort them by priority.”
you, to @Superkind“Let me know here as soon as an urgent Gleap ticket arrives without an assignee.”
you, to @SuperkindHow does Superkind work with Gleap?
- Native integrations and connectors for 1,000+ tools
1Connect your systems
Gleap connects securely through its API. Add Teams, Outlook, and the systems your support team uses every day. Superkind receives only the permissions it needs. The connection is then ready to use in Teams.
@Superkind summarise the open Gleap tickets about the payment portal and draft a reply for the most urgent case.
On it. I am checking the Gleap tickets and preparing the reply.
2Tell Superkind what you need
Message your AI employee in Teams like a colleague. Ask for a summary of open Gleap tickets or a reply draft. Superkind understands the outcome and picks the right Gleap actions. You do not need to build a workflow.
- 12 Gleap tickets checked
- Payment portal: 3 similar bugs
- Reply draft ready in Gleap
Reply draft createdWaiting for your approvalSend reply to customer?3Superkind operates, you approve
Superkind reads the Gleap data and completes the preparatory work. The result comes straight back to Teams. Ticket changes or customer messages wait for your approval. Every step is logged.
What can Superkind do in Gleap?
Ask in plain English from Teams or Outlook. Superkind picks the right Gleap actions, runs the work, and reports back. No workflows to build.
Search tickets
Finds Gleap tickets by status, priority, type, team, assignee, or date range.
Summarise ticket
Summarises the title, form data, messages, and status history of a Gleap ticket.
Create ticket
Creates a Gleap ticket as a bug report, support request, or feature request.
Change ticket status
Moves a Gleap ticket into the appropriate inbox status.
Assign ticket
Assigns a Gleap ticket to an agent or support team.
Read messages
Reads customer messages and internal notes from a Gleap ticket.
Draft reply
Creates a reply draft from ticket context, company knowledge, and relevant help center articles.
Send reply
Sends an approved message as a reply in the Gleap ticket.
Summarise notes
Condenses the internal notes of a Gleap ticket into the key decisions.
Search contact
Finds a Gleap session by email address, user ID, or name.
Get contact details
Reads the profile, custom data, and last activity of a Gleap session.
Check ticket history
Shows earlier Gleap tickets and recurring requests from a contact.
Analyse contact segment
Groups Gleap sessions by plan, activity, or custom data fields.
Search articles
Finds relevant Gleap help center articles by title, collection, and content.
Summarise article
Summarises a Gleap help center article for a quick reply.
Identify content gap
Compares common Gleap tickets with existing help center articles and identifies missing content.
Publish article
Publishes an approved article in a Gleap help center collection.
Analyse surveys
Summarises responses and results from Gleap Surveys by audience.
Check checklists
Shows the status and usage of active Gleap Checklists for onboarding.
Check product tours
Reads the configuration and status of existing Gleap Product Tours.
Send campaign
Starts an approved Gleap campaign as a banner, email, or push notification.
List team members
Shows Gleap team members with roles, teams, and responsibilities.
Get ticket statistics
Reads Gleap metrics for ticket volume, status, and handling over a time period.
Check status history
Shows changes to a ticket status, priority, assignee, tags, and due date.
Analyse pipelines
Analyses Gleap Pipelines and Pipeline Entries by stage and owner.
List projects
Shows available Gleap projects and their basic settings.
Superkind AI employees that work with Gleap
Every role brings its expertise and uses Gleap as one of its tools.
Companies working with Superkind
Frequently asked questions
Everything you need to know about your AI employee for Gleap.
Yes. Superkind connects Gleap through a managed connector. Your team can then put the AI employee to work in Gleap from Microsoft Teams or Outlook. It reads tickets, messages, contacts, and help center content and reports the results back. It only receives the permissions needed for the agreed use case.
An admin provides the Gleap API key and project ID from the security settings. Superkind sets up the protected connection with you and tests the agreed actions. The AI employee can then access the approved Gleap project from Teams or Outlook. Credentials are never shared in the chat.
The AI employee can search and summarise Gleap tickets, read messages and internal notes, draft replies, and check contacts and status histories. It can also find help center content and analyse ticket statistics, Surveys, Checklists, Product Tours, and Pipelines. You define which actions it actually uses for your use case.
No. With Zapier or Make, you build triggers, filters, and individual steps and maintain them when something changes. With the AI employee, you describe the outcome in plain English. Superkind picks the right Gleap actions itself, can include data from other systems, and asks when information is missing or a decision is needed.
Only with your approval. Superkind can independently read and summarise tickets, messages, and context and prepare a reply draft. Before a ticket is assigned, its status changes, or a message is sent to a customer, the action waits for a yes in Teams. Together, you define which Gleap actions count as sensitive.
Superkind is hosted in the EU and signs a GDPR data processing agreement with you. The AI employee receives minimal permissions for the approved Gleap project. Your data is not used to train models. Access and actions are logged so your team can trace what was read, prepared, or changed after approval.
Gleap has publicly listed paid plans that can range from the low to mid hundreds of euros per month, depending on scope. Zapier starts at about 20 euros per month and Make at about 10 euros per month, both plus setup time. Superkind is priced per use case, a fraction of a full-time hire.