Pricing

"I saved four hours of downtime for the same price as a coffee."

RunWhen costs ~$5 per ticket

1/100th the cost and 10x the speed of doing incident investigations by hand

Enterprise outcome-based contracts at scale

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Our Pricing Plan

Simple annual pricing for small teams or outcome-based pricing for larger enterprise deployments

image showing the impact of driving down kubernetes costs

Price

Description

3 Agents /
30 Skills /
30 Day Sprint

sessions

$30k one time
professional
services

Forward deployed engineers and analysts embed with your team for 30 days:
- Start with either an analysis of your tickets or a set of interviews
- Install the self-hosted RunWhen Agent runtime and authoring tools, 60 day license included
- Import all relevant Skills from the library
- Build 30 new multi-vendor Skills (new integrations) using RunWhen authoring tools

If you choose not to move forward, your team can run the 30 new Skills as stand-alone automation (CLI tools) or integrate them into Agent platforms from Microsoft, Anthropic, Google and others. They are yours to keep.

5,000
Tickets

sessions

$25k / year
license

Self-hosted platform license for the Skill authoring and Agent runtimes - covers all ticket system integrations. Note you Bring-Your-Own-LLM-Endpoint (est ~$5k/year).

10,000
Tickets, Chats

sessions

$45k / year
license

Above plus license to self-hosted Slack and/or Teams applications. Chat Price is based on threads.

25,000
Tickets, Chats

sessions

$115k / year
license

All features above

Unlimited

sessions

Outcome-based pricing

We will work with your team to create a value per ticket, value per chat thread and an annual estimate of volume of each. Outcome-based contracts start at $150k.

A Typical Engagement Timeline

In a large organization, RunWhen typically starts with infrastructure SRE or platform teams that are "guilty until proven innocent." After freeing up their time, they serve as automation ambassadors for a team-by-team roll-out across applications.

1
hour

Install Defaults

Install local runner with read-only cloud/kubernetes credentials

1
week

Background Learning

Let agents run read-only automation in the background to learn the environment

2-4
hours

Workshop

1-2 senior engineers ask typical first responder questions

Target ~50% "thumbs up" rate that this would have avoided an escalation

30
days

30 New Tools

Our FDEs work with your team to build 30 new tools in 30 days to integrate with you apps, data and toolchain

1-2
days

PoC Wrap-Up

3-5 senior engineers ask typical broader range of questions
‍
Target ~90% "thumbs up" rate that this would have avoided an escalation‍

An Incident Analysis?

Prior to an installation, our team can help with tools to that analyze your existing alerts or tickets to build a preliminary business case.

Before

After RunWhen

900

Engineering hours
per thousand tickets

80%

of tickets with
>4 hours MTTR

156

Engineering hours per thousand tickets

56%

of tickets with
<1 minute MTTR

Automation can cut observability costs

Some of our most popular automation libraries copy logs directly from pods and VMs into Jira/Github tickets. Connecting this to VSCode, alerts and CI/CD webhooks removes the need to ingest and store 90%+ of non-prod logs.

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Operate at lower cost with AI Engineering Assistants

Kubernetes stands as a cost-effective cloud platform choice. Integrating AI tools for non-experts, like app developers or junior SREs, brings a 60% reduction in KTLO engineering costs.

Get a KTLO Analysis

Test your assumptions quickly with Enterprise PoC

RunWhen offers a troubleshooting library for all environments, streamlining knowledge and consolidating tools.

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Get started quickly with the RunWhen PoC/PoV guide

This document provides reference materials for architecture, security reviews, sample discussion guides, and outlined directions for quantitative business case development. Additionally, PoCs include weekly check-ins with the RunWhen engineering team and support via email, Slack, and video conferencing during US Eastern business hours.

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