agents · CAT-30030908 · rev 1.0|
CloudPilot AI. @cloudpilot-ai
5.0Reviews ▾
Rated 5.0 / 5 by clients on GoodFirms.
Read verified reviews on GoodFirms →Vetted by Scrums.com Platform
Provider CloudPilot AI
Last review 2026-08-14
What you get
the numbers that matterPriced on scope
billed monthly
≈ 2 weeks
signed to first PR
96%
engagements renewed
96%
to your stack & domain
AI SRE agent positioned inside Kubernetes for troubleshooting and cloud-native operations. Deployed and governed in your clusters by Scrums.com.
How this operator works
every way of working, already decidedOwns the system, not the ticket
Takes end-to-end ownership of a service or surface. Design, delivery, on-call. And is measured on outcomes, not hours.
Embedded, async-first, instrumented
Works inside your repos, your CI and your rituals. Daily written standups, decisions logged. No status-meeting tax.
Runbooks, canaries, reversible deploys
Every change gated and reversible. Incidents get a timeline and a postmortem; nothing ships without a rollback.
Plugged into your Slack & rituals
Joins standups and retros, reports weekly against the goal. You get an operator, not a queue.
Brings a pre-wired stack or adopts yours
Infrastructure and observability as code by default. No bespoke setup tax to absorb.
Scoped, gated, reversible
Week-1 shadow, week-2 ownership, swap on request inside the trial window. No long-tail handover risk.
Overview
CloudPilot AI is a commercial AI SRE offering positioned inside Kubernetes. It supports troubleshooting and cloud-native operations from within the cluster environment, giving engineering teams an agent that works against live cluster state rather than from the outside in.
On the Scrums.com catalog, CloudPilot AI is listed as a third-party commercial agent. Scrums.com delivery teams deploy it into your environment, integrate it with your Kubernetes clusters and cloud-native tooling, and govern its operation through the SEOP with usage and outcome reporting.
What it does
In-cluster troubleshooting
Troubleshoots issues from inside the Kubernetes environment where workloads actually run.
Cloud-native operations support
Supports the operational work of running cloud-native infrastructure day to day.
Cluster-state awareness
Works against live Kubernetes state — workloads, resources, and events — as its primary context.
Operational efficiency
Aims to reduce the manual effort of keeping Kubernetes environments healthy and efficient.
Deploying it with Scrums.com
- Scope — Scrums.com runs a fit assessment against your workflows, your cluster estate, and your governance requirements.
- Integrate — Scrums.com engineers wire CloudPilot AI into your Kubernetes clusters and cloud-native tooling, with guardrails set before it operates.
- Operate — the deployment runs under governed operation, with usage and outcome reporting via the SEOP.
Commercial availability
CloudPilot AI is sold as commercial SaaS by CloudPilot AI. Scrums.com supports procurement alongside a governed deployment into your clusters.
FAQs
How is this different from a Kubernetes dashboard?
A dashboard shows cluster state and leaves interpretation to the engineer. An in-cluster AI SRE agent interprets that state itself and supports the troubleshooting work, with engineers staying in control of changes.
What access does deployment need?
Access to the Kubernetes clusters it should operate in, scoped through standard Kubernetes RBAC. Scrums.com defines the exact permissions during scoping.
How is in-cluster access governed?
Scrums.com deploys it under least-privilege RBAC with agreed namespace and action boundaries, and tracks its operation through the SEOP.
What's included
in every engagement · no add-onsTrack record
deployments on real systems · anonymizedWorks inside your stack
surfaces this operator binds toBoundaries
what to deploy insteadScoped to this discipline. For an adjacent capability, compose a second operator into the squad. compose →
Not a fractional advisory engagement. For advisory-only, contact platform@scrums.com.
Deployments
the only social proof we publish402deploys
across 38 organizations
+24 last 30 days · median age 11.4 mo · retention 96%
Live telemetry
this operator's system surfacePricing
one number · one footnotePriced on scope
All-in: the operator, delivery manager and replacement guarantee. No recruiter fee, no markup surprises.
Final pricing computed at deploy from your committed envelope, region and account tier.
FAQ
common questionsHow is CloudPilot AI priced?+
Priced on scope. Request a quote and pricing is computed from the work envelope.
Is CloudPilot AI available now?+
Yes. It is published and deployable directly from the Scrums.com catalog.
Can a CloudPilot AI deployment be reversed?+
Yes. Deployments are reversible with a one-click swap inside the trial window.
Who provides CloudPilot AI?+
CloudPilot AI, vetted by the Scrums.com platform.
How it compares
vs other agents| Option | From | Stack | Status |
|---|---|---|---|
| CloudPilot AI · this one | Priced on scope | agent · ai-agents · sre | ● available |
| Qdrant MCP Server | Priced on scope | mcp · qdrant · vector database | ● available |
| Pinecone MCP Server | Priced on scope | mcp · pinecone · vector database | ● available |
| Databricks SQL MCP Server | Priced on scope | mcp · databricks · sql | ● available |
Commonly deployed with
more agentsQdrant MCP Server
Qdrant MCP Server gives approved AI clients access to qdrant vector-memory workflows for storing and retrieving semantically relevant context. It is most valuable where teams want to provide engineering agents with an explicit semantic memory or retrieval layer for code and technical knowledge.
Pinecone MCP Server
Use Pinecone MCP Server to connect engineering agents with pinecone documentation, index management, upserts and vector queries. The key operational benefit is to let AI engineers build and operate retrieval systems directly from their coding agents.
Databricks SQL MCP Server
Databricks SQL MCP Server is a first-party MCP surface for aI-generated SQL against Unity Catalog tables with read/write governed by Databricks permissions. The engineering-leadership use case is straightforward: connect engineering and data agents to governed SQL execution over enterprise data.
Priced on scope