New Relic AI employee

A Superkind AI employee that checks deployments and alerts, explains error causes, runs NRQL queries, and documents incidents inside New Relic. Message it in Teams or Outlook, it does the work in New Relic 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 New Relic AI employee?

A New Relic AI employee is an AI that connects to your New Relic account and completes work in it. It does not just answer questions, it searches entities, checks alerts, runs NRQL queries, and documents incidents. 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 New Relic actions, chains them with your other systems, and asks for your approval before anything sensitive runs.

About New Relic

Observability platform for APM, infrastructure, logs, traces, browser, synthetics, alerts, and telemetry data analysis.

  1. You ask in Teams

    Describe what you need in plain English.

  2. Superkind picks the actions

    Selects the right New Relic actions and chains them together.

  3. New Relic

    Superkind works in New Relic

    Checks alerts, searches entities, and runs NRQL queries. Your real data.

  4. Superkind reports back

    Delivers the finished result to Teams or Outlook.

Try asking

What can you ask Superkind to do in New Relic?

Messages you would actually send. Copy one, swap in your specifics, and Superkind takes it from there.

Check the latest deployment in New Relic and tell me whether any new alerts appeared.

you, to @Superkind

Explain the cause of the increased payment portal error rate using the New Relic data.

you, to @Superkind

Create a Jira ticket from this New Relic incident with the cause, impact, and relevant links.

you, to @Superkind

Let me know here as soon as New Relic opens a critical incident, with the cause and affected entities.

you, to @Superkind
How it works

How does Superkind work with New Relic?

  1. Native integrations and connectors for 1,000+ tools

    1Connect your systems

    Connect New Relic to Superkind. Add Teams and the systems your team already uses, such as Outlook, Jira, or GitHub. Superkind handles the secure connection and gets to work.

  2. Lena Hoffmann9:12 AM

    @Superkind please check the Checkout API alert in New Relic and create a suitable NRQL condition.

    @SuperkindApp09:13

    On it. I am checking the alert in New Relic and preparing the NRQL condition.

    2Tell Superkind what you need

    Message your AI employee in Teams like a colleague. Ask it to check an alert in New Relic or explain the cause of an error. Plain English is enough, Superkind picks the right actions.

  3. @SuperkindApp09:14
    • Alert “Checkout latency” checked
    • Error rate elevated since 9:02
    • NRQL condition #184 created
    New Relic
    NRQL condition #184 createdCheckout API · Draft
    Waiting for your approvalActivate NRQL condition?

    3Superkind operates, you approve

    Superkind checks the telemetry data in New Relic and writes the result back in Teams. Sensitive changes to alert policies, NRQL conditions, or workloads wait for your approval. Every step is logged.

Actions

What can Superkind do in New Relic?

Ask in plain English from Teams or Outlook. Superkind picks the right New Relic actions, runs the work, and reports back. No workflows to build.

  • Entities

    Search entities

    Finds New Relic entities by name, domain, type, tag, or GUID.

  • Entities

    Get entity details

    Reads an entity's health status, tags, alert severity, and linked telemetry data.

  • Entities

    Check APM services

    Compares throughput, response time, error rate, and Apdex across APM services.

  • Entities

    Check deployments

    Maps deployments to changes in an entity's error rate, latency, and throughput.

  • Alerts

    List alert policies

    Lists alert policies with incident preference, conditions, and connected notification channels.

  • AlertsNeeds approval

    Create alert policy

    Creates an alert policy with the selected incident preference.

  • Alerts

    List NRQL conditions

    Shows NRQL alert conditions with thresholds, evaluation windows, and enabled status.

  • AlertsNeeds approval

    Create NRQL condition

    Creates an NRQL alert condition for a policy with warning and critical thresholds.

  • AlertsNeeds approval

    Update NRQL condition

    Changes the query, thresholds, or evaluation window of an existing NRQL alert condition.

  • Alerts

    Summarise incidents

    Summarises open incidents with priority, affected entities, and likely cause.

  • Notifications

    List notification channels

    Shows notification channels and their assignments to alert policies.

  • Notifications

    Create notification channel

    Creates a notification channel for email, webhook, or a supported service.

  • Notifications

    Assign channel

    Connects existing notification channels to a selected alert policy.

  • NotificationsNeeds approval

    Create destination

    Creates a destination for New Relic AI notifications.

  • Notifications

    Test destination

    Sends a test notification to an existing AI notification destination.

  • NotificationsNeeds approval

    Create workflow

    Creates a New Relic workflow with filters and a notification channel.

  • Workloads

    Search workloads

    Finds workloads and shows their included entities and health status.

  • WorkloadsNeeds approval

    Update workload

    Changes the name, description, or entity rules of a New Relic workload.

  • Workloads

    Explain workload health

    Explains workload health from the included entities and active alerts.

  • Data

    Run NRQL query

    Runs an NRQL query against metrics, events, logs, or traces.

  • Data

    List lookup tables

    Lists available lookup tables with their names and update dates.

  • Data

    Get lookup table

    Reads the columns and records of a specific lookup table.

  • DataNeeds approval

    Delete lookup table

    Deletes a lookup table from the New Relic account.

  • Other

    Explain error cause

    Connects APM errors, logs, traces, and deployments into a clear cause analysis.

  • Other

    Create incident report

    Creates a report from an incident, its timeline, and affected entities for Teams or Jira.

  • Other

    Analyse usage

    Analyses data ingest, billable users, and usage trends in the New Relic account.

Works with your stack

Superkind uses New Relic together with your other systems

Ask for outcomes that span tools. The AI employee pulls telemetry data from New Relic, cross-references your stack, and delivers one finished result.

Matching AI employees

Superkind AI employees that work with New Relic

Every role brings its expertise and uses New Relic as one of its tools.

Companies working with Superkind

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Voelpker
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FAQ

Frequently asked questions

Everything you need to know about your AI employee for New Relic.

Yes. Superkind connects New Relic through a managed connector. Once connected, your team can put the AI employee to work in New Relic from Teams or Outlook. It searches entities, checks alerts, runs NRQL queries, and reports results back. It only receives the permissions required for the agreed tasks.

An admin adds the appropriate New Relic connection and confirms the required permissions. The account is then available to the AI employee for the agreed tasks. We set up the connection with you during onboarding, verify access with a safe read action, and define which changes always require approval in Teams.

It can search entities and workloads, check APM data, run NRQL queries, read alert policies and NRQL conditions, summarise incidents, and manage notification channels, destinations, and workflows. The list above shows typical actions. Which actions run independently and which require approval depends on your tasks and permissions.

No. With Zapier or Make, you build triggers and individual steps and maintain them when something changes. With the AI employee, you describe the desired outcome in plain English. Superkind picks the right New Relic actions, connects them to Jira, GitHub, or Outlook when needed, and asks if information is missing or a sensitive step is required.

Only with your approval. Superkind can read alerts, explain incidents, and prepare drafts. Changes to production alert policies, NRQL conditions, notification destinations, or workloads wait for a responsible person to approve them in Teams. Your team decides which actions are sensitive. Without that approval, the AI employee makes no corresponding change in New Relic.

Superkind is hosted in the EU and signs a GDPR data processing agreement with you. The AI employee receives only the minimum New Relic permissions it needs. Model requests are not used for training. Access and actions are logged so you can trace which telemetry data was read and which change was made after approval.

New Relic offers a free entry tier. Paid Core users publicly start at about 49 US dollars per user per month, while other platform tiers and data ingest depend on 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.

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