Put your routine ops on autopilot
Schedule the day-to-day work your team keeps doing by hand — cost sweeps, security scans, health checks, cleanups. Start from a template, apply in one click, and let CloudThinker run it on time.
Or let the work start itself: a workflow can fire on a schedule, a webhook, or an event from GitHub, GitLab, Jira, Datadog and the rest of your stack.
Cost anomaly sweep → fix MR
4 steps, run by the CostOps agent
When
GitHub pull_request.opened
repo:acme/infra — paths: terraform/**
Then
Triggers
A schedule is one trigger. Your stack is the rest.
Every workflow starts with a when. Pick a cadence, expose a webhook URL, or subscribe to the events your tools already emit — the steps, guardrails and run log stay the same whichever one fires.
Schedule
Daily, weekly, monthly or any cadence you name in plain language. Sensible defaults, no cron syntax.
every day at 07:00
Webhook
Every workflow gets a signed URL. POST to it from CI, a script, or any tool that can send a request.
POST /hooks/wf_8f21c4
App event
Subscribe to the tools you already run — git pushes and pull requests, Jira transitions, monitor alerts, on-call pages.
14 sources connected
Chat
Ask for the run in Slack or the console. Same workflow, same guardrails, started by a sentence.
› run the access review now
GitHub
push, pull_request, release
GitLab
merge_request, pipeline, tag
Jira
issue created, transitioned, commented
Datadog
monitor alert, SLO burn
PagerDuty
incident triggered, escalated
Slack
slash command, mention
Kubernetes
deploy applied, pod evicted
AWS
CloudWatch alarm, budget breach
Grafana
alert rule fired
Custom webhook
any signed POST, with payload filters
One environment
Triggers reuse the connections you already made
The same Connections that give agents access to your cloud also carry the events back. Subscribe once, filter by repo, path, label, project or severity, and the workflow only wakes for what matters.
- Payload filters — repo, path, label, severity, project
- Signed URLs with replay protection and per-workflow secrets
- Stack several triggers on one workflow — schedule plus events
How it works
From idea to running — in four steps
A simple, end-to-end path — no scripts, no cron files, no blank page.
Step 0
Start with an idea, get an agenda
Tell CloudThinker the routine work your team owns — cost, security, reliability, governance. It lays out a complete operations agenda: the recurring tasks, cadences, and agent owners your team runs, mapped onto one calendar.
- Describe the ops you want in plain language — no setup
- CloudThinker drafts a full operations agenda across every domain
- Recurring tasks, cadences and agent owners on one calendar
Step 1
Explore, customize, or build your own
Open the Templates gallery and browse proven CloudThinker automations grouped by domain. Customize any template to fit your environment — or start from scratch and save your own for the whole workspace.
- CloudThinker default templates across cost, security, reliability, code and governance
- Customize and save — tweak steps, then share as a workspace template
- Search and category filters to find the right one fast
Daily cost anomaly sweep
schedule — every day at 07:00
Nightly staging pentest
schedule — every day at 01:00
Terraform cost review on every PR
app event — GitHub pull_request.opened
Triage the Jira ticket before standup
app event — Jira issue created (label: infra)
Build your own template
start from a blank workflow
Step 2
Apply, pick a trigger and a run mode
Pick a template and a quick drawer opens pre-filled. Set the trigger, the agent, and the run mode — Manual approval, or Auto within your guardrails — then apply. It becomes a live workflow against your unified environment.
- Sensible defaults — no cron syntax, no YAML
- Run mode: Manual approves each run, Auto stays inside your guardrails
- Choose schedule or event, agent and notification channel
Task name
Daily cost anomaly sweep
Trigger
Every day at 07:00
Run with
CostOps agent
Notify
Slack #finops
Run mode
Auto still respects every enabled guardrail
Apply template
Step 3
It runs on time — safely
CloudThinker runs the workflow when its trigger fires. Read-only steps run automatically; a write to prod pauses for a human to approve right in Slack or the console. Every step is logged.
- Reads run instantly; writes wait for approval
- Reversible-first, with auto-rollback on SLO breach
- Full run log — what ran, what changed, who approved
Disable idle provisioned throughput
needs approval — writes to prod
Step 4
See results, savings and reports
Each run posts a summary and rolls up into dashboards — realized savings, findings resolved, anomalies caught — plus scheduled PDF and CSV reports for stakeholders.
- Live dashboards for cost, reliability and security
- Realized-savings run-rate tracked over time
- Board-ready reports delivered on a schedule
Realized / mo
$690
Runs this month
128
Triggered by events
61%
Savings run-rate
Weekly savings report
delivered to #finops
Use cases
Templates for the work you already do
Curated by CloudThinker across every ops surface — or build and share your own.
CostOps
Catch spend anomalies, clean up idle resources, review commitments.
› @cloudthinker why did spend jump yesterday?
Cyber
Nightly pentests, dependency and CVE scans, secret detection on commits.
› scan staging endpoints for broken auth
DRE
SLO health checks, backup verification, runbook dry-runs, cert watch.
› investigate payment-svc p99 spike
Governance
Access reviews, compliance evidence, tag hygiene — audit-ready.
› run this week’s access review
Code & delivery
Fires on git and Jira events — cost review on a Terraform PR, triage on a new infra ticket.
on pull_request.opened → review
Guardrails
Automated, but never unsupervised
Every workflow runs against the environment you unified in CloudThinker — connections, credentials and policy set once. It acts inside your guardrails and asks a human before anything risky.
Reads run automatically, writes need approval
Anything that changes prod waits for a human click.
Reversible-first and auto-rollback
Prefers safe actions; rolls back on any SLO breach.
One unified environment
Connections, credentials and policy configured once in CloudThinker.
Every run is logged and auditable
Full trail of what ran, what triggered it, what changed, and who approved it.
Start with AWS support and a CloudThinker FDE.See ROI on day one.
Your AWS agreement and credits carry straight over, and a CloudThinker forward deployed engineer does the onboarding, so the first result lands on day one.
Up to $200K in AWS credits
Applied to your own AWS account.
AWS AI Services Competency
Validated for Agentic AI Consulting.
Covered 24/7, on your approval
Under HIPAA, GDPR and SOC 2 controls.