Harness AI employee
A Superkind AI employee that checks deployments, explains pipeline failures, tracks incidents, and creates tickets inside Harness. Message it in Teams or Outlook, it works in Harness and reports back with the result. Sensitive actions such as a production deployment 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 Harness AI employee?
A Harness AI employee connects to your Harness account and completes work there. It checks pipeline executions, analyses failed deployments, tracks incidents, and creates the right tickets. Superkind builds it with your company knowledge, services, and operating rules.
Unlike Zapier or Make, there is nothing to configure. You describe the outcome in plain English, the AI employee picks the right Harness actions, chains them with other systems, and asks for your approval before sensitive actions.
Harness is a software delivery platform for continuous integration, continuous delivery, cloud costs, security, and software operations.
You ask in Teams
Describe what you need to know about a deployment, alert, or incident in plain English.
Superkind picks the actions
Selects the right Harness actions and connects them to Jira or GitHub when needed.
Superkind works in Harness
Checks pipelines, executions, services, and incidents directly in your real data.
Superkind reports back
Delivers the cause, status, and next step to Teams or Outlook.
What can you ask Superkind to do in Harness?
Messages you would actually send. Copy one, swap in your specifics, and Superkind takes it from there.
“Check the latest failed deployment in Harness and tell me the affected service and likely cause.”
you, to @Superkind“Explain why the Payments Portal pipeline stopped in production and link the relevant execution logs.”
you, to @Superkind“Create a Jira ticket from this failed deployment with the service, environment, and suspected cause.”
you, to @Superkind“Let me know here as soon as Harness detects a new incident, including service, severity, and owning team.”
you, to @SuperkindHow does Superkind work with Harness?
- Native integrations and connectors for 1,000+ tools
1Connect your systems
An admin connects Harness securely to Superkind. Then you add Teams and systems such as GitHub or Jira. Superkind receives only the Harness permissions required for your tasks.
@Superkind please check the failed Harness deployment for the Payments Portal and create an incident with the cause.
On it. I am checking the Harness execution and creating the incident with the key details.
2Tell Superkind what you need
Message your AI employee in Teams like a colleague. Ask it to check a Harness execution or explain an incident. It understands your company knowledge and the context of your services.
- Production deployment failed
- Timeout in Verify step
- Incident INC-184 created
Incident INC-184Waiting for your approvalRestart production pipeline?3Superkind operates, you approve
Superkind runs the required Harness actions and reports the result in Teams. A production deployment or access change waits for your approval. Every step is logged.
What can Superkind do in Harness?
Ask in plain English from Teams or Outlook. Superkind picks the right Harness actions, completes the work, and reports back. No workflows to build.
List projects
Lists Harness projects with organisation, identifier, and status.
Get project
Reads the details and metadata of a Harness project.
Create project
Creates a Harness project in the selected organisation.
Add user group
Adds a user group at account, organisation, or project scope.
List pipelines
Lists Harness pipelines in a project with identifiers and tags.
Get pipeline
Reads the pipeline YAML, stages, and runtime inputs of a Harness pipeline.
Start execution
Starts a Harness pipeline execution with the required runtime inputs.
Check execution status
Checks the status, start time, and trigger of a pipeline execution.
Read execution logs
Reads logs from individual stages and steps in a failed execution.
List deployments
Lists Harness deployments by service, environment, and time range.
Get deployment details
Reads the artifact, trigger, status, and target infrastructure of a deployment.
Explain deployment failure
Analyses execution logs and identifies the step that most likely failed.
Restart deployment
Restarts a failed Harness pipeline execution.
Rollback deployment
Rolls a service back to its previous version in its environment.
List services
Lists Harness services with tags, description, and project.
Get service details
Reads the manifests, artifacts, and service variables of a Harness service.
List environments
Lists Harness environments with type and infrastructure definitions.
Get infrastructure details
Reads the cluster, namespace, and connector of an infrastructure definition.
List incidents
Lists Harness incidents by status, severity, and affected services.
Get incident details
Reads the timeline, alerts, responders, and context of a Harness incident.
Create incident
Creates a Harness incident with severity, service, and initial cause.
Close incident
Closes a Harness incident with its resolution and closure time.
List connectors
Lists Harness connectors with type, scope, and connection status.
Check delegate status
Checks the heartbeat, tags, and last contact of a Harness delegate.
Create secret
Creates a secret reference in the selected Harness scope.
Search audit events
Finds Harness audit events by user, resource, and time range.
Superkind AI employees that work with Harness
Every role brings its expertise and uses Harness as one of its tools.
Companies working with Superkind
Frequently asked questions
Everything you need to know about your AI employee for Harness.
Yes. Superkind connects the AI employee to your Harness account through a managed connector. Your team can then check pipelines, executions, deployments, services, and incidents from Microsoft Teams or Outlook. The AI employee only works in the accounts, organisations, and projects you approve during setup.
An admin adds the Harness connection and grants only the required scopes. Together, we select the account, organisations, projects, and permitted actions. We then test access with a read request from Teams. Sensitive actions stay disabled at first and are only enabled for the AI employee after your explicit approval.
It can find Harness pipelines and executions, read deployment status and logs, explain failure causes, check services and environments, and summarise or create incidents. It can also connect results with GitHub, Jira, or Linear. The actions it can actually run depend on your processes and the Harness permissions you grant.
No. You simply describe the outcome you want in Teams or Outlook. Superkind picks the right Harness actions and connects them with other systems when needed. Unlike Zapier or Make, you do not have to build and maintain triggers, branches, or individual steps. The AI employee asks focused questions whenever details are unclear.
Only with your approval. Superkind can prepare a pipeline, check runtime inputs, and show the planned step in Teams. A production deployment is only started, rerun, or rolled back after a responsible person approves it. The same rule applies to secrets and access changes. Your team defines which Harness actions are sensitive.
Superkind is hosted in the EU and signs a GDPR data processing agreement with you. The AI employee receives minimal Harness permissions for selected accounts, organisations, and projects. Your data is not used for training. Access and actions are logged so your team can trace and review every completed step.
Harness offers a free plan, while paid Essentials and Enterprise plans are sold through individual quotes. Zapier starts at about 20 euros per month 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, and completes work across Harness and your other systems.