AI is easy in a demo.
We make it work in your production.
FDE is simple: a senior CloudThinker engineer joins your team, brings our AI operations agents, sets them up inside your own cloud — and hands your team the keys. You buy a working result, not a report.
30 minutes with an engineer, not a sales deck
Payment-service runbook is now a skill. @Oliver will run the RDS-failover checks you do by hand every Monday.
Ran the checks across 3 accounts. One replica lagging 40s in ap-southeast-1 — root cause + fix staged for review.
That check used to eat my Monday morning. Approving the fix now.
The gap
70%+
of AI pilots never reach sustained production
The gap
32%
of enterprise leaders report sustained, org-wide AI impact — the rest have pilots and decks
The fix
48h
to first verified findings once your FDE connects — read-only
The fix
1 team
one embedded engineer with our platform — no hiring, no six-month ramp-up
AI doesn't fail in demos.
It fails after launch.
The pilot worked. Then it met your real permissions, your real data, and your real on-call rotation.
Your environment isn't the demo
Permissions are slightly wrong, data is incomplete, knowledge is stale. Closing those gaps takes an engineer writing code inside your systems — not a consultant with a checklist.
Agents must be operated, not installed
An agent in production needs testing, guardrails, and someone accountable when it does something surprising. One bad week can undo a quarter of trust — someone has to own that loop.
The people who can do this are scarce
Engineers who can build agents and live inside a customer environment are the hottest hire in tech. You could spend two quarters recruiting one — or borrow ours next week.
Embed. Build. Transfer.
We join your team, not your inbox
Your engineer joins your team's chat and meetings, gets read-only access, and learns how your operations really work — including the parts nobody ever wrote down.
Production code, in your environment
We turn your team's manual procedures into automated agent workflows, connected to the tools you already use — running in your own cloud, under your rules, with every action logged.
Your team owns it — measurably
We train your engineers to build and extend agents themselves. Our success metric is honest: the system needs fewer FDE interventions every week, until it needs none.
This is how the industry's best AI deployments actually happen: an engineer on the ground, building in your environment, then handing over ownership. Not a consulting deck, not outsourced staff — one accountable engineer, backed by a platform with 325+ ready-made operations.
You keep working systems, not slideware
Every engagement leaves running software your team operates — and the knowledge to extend it.
Custom agents for your runbooks
Your incident playbooks, failover checks, and cost reviews become agent skills — executed the way your best engineer does them, every time, with approval gates where you want them.
Integrations with your actual stack
AWS, Azure, GCP, Kubernetes, Datadog, GitLab, Jira, Slack — plus the internal tools nothing integrates with. If your ops live in it, the agents reach it, with scoped credentials.
Evals and guardrails before autonomy
Every agent is tested against your real scenarios before it may act alone. It starts by recommending; it earns the right to act — and everything it does can be rolled back.
A team that can carry it forward
Pairing sessions, documented patterns, and a working example your engineers extended themselves during the engagement — so the capability stays when we leave.
Don't want to run it yourself?
We operate it — around the clock.
Managed Cloud Service: our operation team and agents run your cloud on an SLA — you keep approval power over every change.
Closed loop
Detect → Resolve → Validate
Agents detect issues across your cloud, observability, and security tools; fixes wait for human approval; every fix is validated before the loop closes.
Human oversight
Real engineers on duty
SREs, security, and DevOps engineers supervise the agents 24/7 — the same FDEs who built your deployment, on call when judgment is needed.
SLA-backed
Uptime, escalation, tickets
Uptime monitoring, on-call escalation, and ticket SLAs in your own ITSM — service delivery you can hold us to, in writing.
Start small. Scale what works.
Sprint
Prove it on one workflow
Read-only assessment of your environment, one runbook turned into a working agent, and a findings report your team can act on either way.
- Well-Architected assessment included
- First agent live in your Slack
Embed
AgenticOps, end to end
A dedicated FDE embeds with your team and takes cost, incidents, security, and review workflows to production — then transfers ownership.
- Custom agents + integrations + evals
- Weekly outcome reviews with your leads
- Handover with trained engineers
Partner
An FDE on retainer
For teams scaling agents across departments: quarterly outcome targets, new workflows every cycle, and a direct line to CloudThinker engineering.
- Quarterly outcome commitments
- Priority access to new platform capabilities
Stop piloting. Start operating.
Bring us your hardest operations workflow. In a 30-minute scoping call, an FDE will tell you honestly whether agents can run it — and show you the plan to get there.
- An engineer, not a sales deck
- Scoping call is free
- Starts read-only