Make AI employee
A Superkind AI employee that checks scenarios, explains failed executions, reruns jobs, and monitors connections inside Make. Message it in Teams or Outlook, it does the work in Make and reports back with the result. Anything sensitive waits for your approval.
- Hosted in the EU
- GDPR data processing agreement
- Ready to start today
- Works in Teams, Slack and more
What is a Make AI employee?
A Make AI employee is an AI that connects to your Make account and completes work in it. It does not just answer questions about Make, it takes the actions: checking scenarios, explaining failed executions, starting runs, and monitoring connections. Superkind builds this AI employee with your company knowledge and delivers the finished result to wherever your team works.
Unlike Zapier or Make, there is nothing for you to configure. No triggers, no modules, nothing to maintain. You describe the outcome in plain English, the AI employee picks the right Make actions, chains them with your other systems, and asks for your approval before anything sensitive runs.
Automation platform for scenarios, modules, connections, webhooks, and data stores across apps and services.
You ask in Teams
Describe what you need in plain English.
Superkind picks the actions
Selects the right Make actions and chains them together.
Superkind works in Make
Checks scenarios, explains failed executions, starts runs. Your real data.
Superkind reports back
Delivers the finished result to Teams or Outlook.
What can you ask Superkind to do in Make?
Messages you would actually send. Copy one, swap in your specifics, and Superkind takes it from there.
“Check every active scenario in Make and show me which have not run successfully for seven days.”
you, to @Superkind“Explain the latest failed execution in the Invoice Intake scenario, including the affected module and cause.”
you, to @Superkind“Rerun the HubSpot Sync scenario with the same inputs as its latest successful execution.”
you, to @Superkind“Let me know here as soon as a Make scenario fails three times, with its name, module, and error code.”
you, to @SuperkindHow does Superkind work with Make?
- Native integrations and connectors for 1,000+ tools
1Connect your systems
We connect Make securely to Superkind. Then we add Teams and the systems your team already uses. Superkind receives only the permissions it needs and can work in Make directly from Teams.
@Superkind please check the latest failed execution in the Make Invoice Intake scenario and prepare a replay.
On it. Checking the execution in Make and preparing the replay.
2Tell Superkind what you need
Message your AI employee in Teams like a colleague. Describe the desired result in plain English, such as checking a failed execution in Make. Superkind translates your request into the right Make actions.
- Scenario Invoice Intake checked
- Failure: HubSpot connection expired
- 3 bundles waiting for replay
Data store recordWaiting for your approvalReplay the failed execution now?3Superkind operates, you approve
Superkind checks scenarios, executions, and connections in Make. The result returns to Teams with concrete details. Before a sensitive action runs in Make, Superkind waits for your approval.
What can Superkind do in Make?
Ask in plain English from Teams or Outlook. Superkind picks the right Make actions, runs the work, and reports back. No workflows to build.
List scenarios
Lists Make scenarios for a team or organization with status, folder, and schedule.
Inspect scenario
Retrieves the details, triggers, and settings of a Make scenario.
Create scenario
Creates a scenario in Make from a blueprint, schedule, and destination folder.
Update scenario
Updates the blueprint, schedule, or name of a Make scenario.
Delete scenario
Deletes a Make scenario using its scenario ID.
Activate scenario
Activates a Make scenario and its configured schedule.
Run scenario
Runs an active Make scenario with its defined scenario inputs.
List executions
Shows scenario logs with status, duration, operations, and trigger.
Explain failed execution
Analyses scenario logs and identifies the failed module and error code.
Replay execution
Replays a failed scenario execution using its execution ID.
Inspect operations
Reads operations and data consumption for a Make scenario over a period.
List connections
Lists Make connections for a team with app, account, and expiry status.
Verify connection
Checks whether the credentials stored in a Make connection remain valid.
Get connection details
Retrieves the name, app, scopes, and metadata of a Make connection.
Find expiring connections
Finds Make connections whose credentials will expire soon.
List webhooks
Lists Make hooks with type, URL, queue, and linked scenario.
Inspect webhook logs
Reads hook logs and shows status, payload metadata, and errors.
Check hook queue
Shows the queue count and queue limit of a Make hook.
List data stores
Lists data stores for a Make team with data structure and record count.
Search records
Finds records in a Make data store by key or filter.
Inspect data structure
Retrieves fields and data types from a Make data structure.
Delete record
Deletes a record from a Make data store using its key.
List teams
Lists Make teams in an organization with team ID and name.
List organizations
Lists Make organizations for the connected user account.
Inspect audit logs
Searches Make audit logs by user, action, and time range.
Check API status
Checks Make API availability and the current authorization.
Superkind uses Make together with your other systems
Ask for outcomes that span tools. The AI employee controls Make, brings in data from your stack, and delivers one finished result.
Superkind AI employees that work with Make
Every role brings its expertise and uses Make as one of its tools.
Companies working with Superkind
Frequently asked questions
Everything you need to know about your AI employee for Make.
Yes. Make is one of the integrations Superkind connects through a managed connector. Once connected, your team can put the AI employee to work in Make from Teams or Outlook. You do not need custom code or another interface. The AI employee only receives the permissions required for the agreed tasks.
An admin creates a secure authorization in Make with the required scopes and connects it to Superkind. Together, we then select the organization, team, and permitted scenarios. The connection becomes available to your AI employee. We guide the setup and verify that reading, execution, and approvals work as agreed before launch.
The AI employee can inspect scenarios, scenario logs, operations, connections, hooks, data stores, teams, and organizations. It explains failed executions, finds expiring connections, and runs or replays scenarios after approval. The list above shows typical Make actions. We define which of them your team needs together during onboarding.
No. You do not need to build new triggers, modules, or routers to work with the AI employee. You describe the desired outcome in plain English from Teams or Outlook. Superkind picks the right Make actions, combines them with other systems when needed, and asks when information is missing or a sensitive action is coming up.
Only with your approval. Superkind can independently handle read-only tasks such as checking scenarios, comparing operations, or explaining failed executions. Starting, activating, changing, or deleting a Make scenario waits for a responsible person to approve it in Teams. Your team decides which other Make actions are sensitive and require approval.
The AI employee works with minimal Make permissions, limited to the agreed organizations, teams, and tasks. Superkind is hosted in the EU, and we sign a GDPR data processing agreement. Your data is not used for training. Access and actions in Make are logged so your team can trace and control every step.
Make offers paid plans based on credits and features, with entry plans starting at about 10 euros per month. Zapier starts at about 20 euros per month. Both also require time to build and maintain automations. Superkind is priced per use case, a fraction of a full-time hire, and handles work across multiple systems.