Neo4j AI employee
A Superkind AI employee that connects to Neo4j, queries graph data, analyses relationships, and maintains records for you. Message it in Teams or Outlook, it does the work in Neo4j 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 Neo4j AI employee?
A Neo4j AI employee is an AI that connects to your Neo4j account and completes work in it. It does not just answer questions about graph data, it takes the actions: running Cypher queries, analysing nodes and relationships, checking data quality, and maintaining records. 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 Neo4j actions, chains them with your other systems, and asks for your approval before sensitive changes run.
Neo4j is a graph database for connected data that uses nodes, relationships, properties, and Cypher queries.
You ask in Teams
Describe what you need in plain English.
Superkind picks the actions
Selects the right Neo4j actions and chains them together.
Superkind works in Neo4j
Queries nodes, analyses relationships, maintains records. Your real data.
Superkind reports back
Delivers the finished result to Teams or Outlook.
What can you ask Superkind to do in Neo4j?
Messages you would actually send. Copy one, swap in your specifics, and Superkind takes it from there.
“Ask Neo4j for every customer node without an account owner and deliver the results as a table.”
you, to @Superkind“Create an analysis of the most common drop-off paths between checkout and payment over the last 30 days.”
you, to @Superkind“Correct the region on record CUSTOMER-1842 to DACH and get my approval before making the change.”
you, to @Superkind“Let me know here as soon as orphaned order nodes exceed 20, including the affected IDs.”
you, to @SuperkindHow does Superkind work with Neo4j?
- Native integrations and connectors for 1,000+ tools
1Connect your systems
Connect Neo4j with the minimum permissions required. Add Teams and your other systems. Superkind handles secure sign-in and makes the connection available in Teams.
@Superkind find every customer node without an account owner, analyse their regions, and prepare an assignment.
On it. I am checking the customer nodes in Neo4j and preparing the assignment.
2Tell Superkind what you need
Message your AI employee in Teams like a colleague. Describe the query, analysis, or maintenance you need in Neo4j in plain English. Superkind translates your goal into the right actions.
- 47 customer nodes lack owners
- DACH is the leading region
- Analysis saved in Neo4j
Analysis CUSTOMER-1842Waiting for your approvalAssign account owners automatically?3Superkind operates, you approve
Superkind completes the work in Neo4j and reports the result in Teams. Changes to nodes, relationships, or schema wait for your approval. Every step is logged.
What can Superkind do in Neo4j?
Ask in plain English from Teams or Outlook. Superkind picks the right Neo4j actions, completes the work, and reports back. No workflows to build.
Run Cypher query
Runs a read-only Cypher query with parameters against a selected Neo4j database.
Check query parameters
Checks the parameters and data types of a Cypher query before execution.
Explain query plan
Gets the EXPLAIN plan of a Cypher query with operators and estimated rows.
List running queries
Lists active Neo4j queries with user, runtime, and database.
Export query results
Delivers Cypher results as a structured table for Teams, Outlook, or a file.
Search nodes
Finds nodes by label, properties, or internal element ID.
Read node details
Reads the labels and properties of a selected node from Neo4j.
Create node
Creates a node with defined labels and properties.
Update node
Changes the properties or labels of an existing node.
Delete node
Deletes a node and optionally its connected relationships.
Find paths
Finds shortest or rule-based paths between selected nodes.
Analyse relationship types
Counts relationship types and analyses their properties in the graph.
Create relationship
Creates a typed relationship with properties between two nodes.
Delete relationship
Deletes a selected relationship between two nodes.
List indexes
Lists Neo4j indexes with type, state, labels, and properties.
List constraints
Shows uniqueness, existence, and key constraints in the graph schema.
Visualise graph schema
Presents existing labels, relationship types, and properties as a schema overview.
Create index
Creates an index for defined labels and properties.
Check database status
Checks the status, role, and availability of a Neo4j database.
List transactions
Lists running transactions with user, duration, and allocated memory.
Analyse query metrics
Analyses runtime, hits, and resource use of executed Cypher queries.
Terminate query
Terminates a selected running Cypher query in Neo4j.
List users
Lists Neo4j users with their status and assigned roles.
Check roles
Shows the roles and permissions of a Neo4j user.
Analyse audit logs
Filters Neo4j audit logs by user, action, or time range.
Get server version
Reads the version, edition, and components of the connected Neo4j instance.
Superkind AI employees that work with Neo4j
Every role brings its expertise and uses Neo4j as one of its tools.
Companies working with Superkind
Frequently asked questions
Everything you need to know about your AI employee for Neo4j.
Yes. Superkind connects Neo4j through a managed connector. Once connected, your team can put the AI employee to work in Neo4j from Microsoft Teams or Outlook. You need neither custom integration code nor a workflow builder. The AI employee only receives access to the agreed databases and actions.
An admin provides the connection to the Neo4j instance and grants an account the minimum roles required. We then check access to databases, Cypher queries, and permitted actions together. The connection is subsequently available to the AI employee in Teams and Outlook. Credentials are stored securely and can be rotated or revoked at any time.
The AI employee can run Cypher queries, find nodes and relationships, analyse paths, deliver results as a table, and check data quality. With approval, it can also change nodes, relationships, or indexes. It additionally reads database status, transactions, query plans, and audit logs. You define the exact scope of actions during onboarding.
No. With Zapier or Make, you build triggers and individual steps and maintain them when things change. With the AI employee, you describe the desired result in plain English. Superkind selects the right Neo4j actions itself, connects them to Teams, Outlook, Jira, or other systems when needed, and asks questions when details are missing.
Only with your approval. Superkind can complete read-only Cypher queries, analyses, and status checks independently. Creating, changing, or deleting nodes and relationships, schema changes, and terminating running queries wait for a yes from a responsible person. Your team makes the binding decision about which Neo4j actions count as sensitive.
Superkind is hosted in the EU and signs a GDPR data processing agreement with you. The AI employee works with minimum Neo4j permissions, ideally separated by database and task. Your data is not used for training. Access and actions are logged so you can trace Cypher queries, changes, and approvals at any time.
Neo4j AuraDB offers a free entry tier. Paid managed tiers are billed by resources and can reach the low hundreds of euros per month depending on memory and usage. Zapier starts at about 20 euros 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.