Cloud Operations

Your cloud estate. Running autonomously.

Alarm triage. Patching. Provisioning. Every operational task, within your approved guardrails.

AWS, Azure, GCP and VMware
Fully auditable
Results measured in 8 weeks
ISO 27001:2022 certified
EU data residency
The execution gap

Cloud operations still runs on human throughput.

Your monitoring tools surface issues around the clock. But acting on them still depends on a person being available, whether that's someone on your team or at your managed service provider. Work queues. Drift accumulates. Resolution waits.

The ceiling on speed and cost is set by how many hands are free to act. That ceiling doesn't have to exist.

Where the gap shows up

  • Incidents waiting in a queue because the right engineer isn't immediately available, in-house or at your provider
  • Compliance drift caught in quarterly reviews, not corrected as it occurs
  • Patching that requires manual scheduling, execution, and sign-off
  • Service requests building behind ticket backlogs, regardless of SLA
  • Operational knowledge that lives in people's heads rather than in the system
What we run

Cloud operations. One closed loop.

Autonomous Cloud Operations runs your full cloud estate. Every action follows the same loop: detect, diagnose, execute, verify, and log, within your approved policy boundaries. Your engineers step in only when an action genuinely needs them.

AWS
Azure
GCP
VMware
Kubernetes
SCM
    • Incident resolution - Autonomous Cloud Operations triages, diagnoses, and remediates alarms. Start to finish. Your engineers are only paged when an action needs their sign-off. Resolution completes with verification and a full audit record.
    • Service request - Autonomous Cloud Operations fulfils infrastructure and access requests within SLA, at any time of day, without a ticket queue. Every action is policy-governed and logged.
    • Patching and compliance - Approved patches execute on schedule with rollback built in. ACO corrects compliance drift as it occurs, not flagged for someone to act on later.
    • Configuration drift correction - Autonomous Cloud Operations detects and corrects drift from approved baselines continuously. Your environment stays aligned, not discovered to be out of alignment at the next review.
    • Post-incident encoding - Every resolved incident updates the operating model. Repeat failures become rarer. Operational knowledge stays in the system. It doesn't walk out with departing engineers.
    • Human-in-the-loop control - High-risk actions require explicit engineer approval before they execute. A customer-controlled kill switch stops autonomous execution at any point. You set the boundaries.

Ready to see this running in your environment?

A 30-minute conversation is all it takes to scope a contained pilot.

Scope a pilot →
How it's delivered

Proven before you commit to anything.

A contained pilot runs alongside your existing operations. No disruption, no lock-in, and a validated business case in 8 weeks.

  • Carve-out pilot

    50 hosts. Non-production. Autonomous Cloud Operations runs parallel to your current setup from week one, with your existing operations untouched.

    • Define episode classes and policy guardrails
    • Baseline your current MTTR and ops cost
    • Autonomous execution begins immediately
  • Measure and compare

    At week 8, results are measured side-by-side against your pre-pilot baseline. No interpretation required.

    • Incident resolution time
    • First-line engineer hours
    • Cost per managed host
  • Expand or exit

    If the business case is proven, expand scope at your pace. If not, no obligation and no hard feelings.

    • Gradual scope expansion on your terms
    • Full audit trail from day one
    • Fixed per-host pricing throughout
    • ISO 27001:2022 certified · EU data residency (Frankfurt)
Business impact

Outcomes you can plan around.

These numbers come from live enterprise environments. Not projections. Measured outcomes from closed-loop autonomous operations running in production.

One customer moved from 70 hours of first-line ops work per month to 5. P2 incidents that took 2 hours to resolve now close in 9 minutes. 220 tickets per month now close without a human touch.

Fixed per-host pricing means the cost is known before you start, and doesn't grow with incident volume.

  • Average MTTR

    P2 incidents, from detection to verified resolution

  • First-line time freed

    Your engineers focus on architecture, not alerts.

  • Auto-resolution rate

    Episodes closed without human touch

  • Ops cost reduction

    Per-host savings against MSP baseline

Frequently asked questions.

What is Autonomous Cloud Operations?

Autonomous Cloud Operations is a managed service that replaces human-executed IT operations with machine-executed ones. Where AIOps platforms surface insights and recommendations, Autonomous Cloud Operations acts on them end to end, as a fully managed service where Firemind is responsible for outcomes, not just intelligence. AI agents run your cloud infrastructure continuously, detecting incidents, diagnosing root causes, and resolving them; provisioning resources; hardening security posture; applying patches; managing databases; and optimising costs. All of it runs in parallel, around the clock, without getting stuck in a ticket queue. Incidents are resolved in minutes rather than hours. Security findings are remediated as they appear, not in quarterly batches. Cost savings your tools have been flagging for months get executed automatically, as a matter of routine. And the operational knowledge that used to live in your best engineers' heads gets encoded into the platform instead, so it doesn't walk out the door when people leave. Autonomous Cloud Operations also uses fixed per-host pricing, which means the cost is predictable regardless of how much operational work there is. That is a fundamental change from the traditional managed service model, where cost scales with headcount.

What does Autonomous Cloud Operations actually cover day-to-day?

Autonomous Cloud Operations handles the full operational picture: incident resolution (CPU, memory, connectivity, service availability), service requests such as VM and storage provisioning, continuous security posture management and IAM hardening, OS and agent patching, database operations including backups and engine upgrades, and ongoing cost optimisation. These run continuously, in parallel, without queuing behind a human triage process.

How is Autonomous Cloud Operations different from a traditional managed service?

A traditional managed service is still human-executed: people respond to alerts, follow runbooks, and close tickets. Response times are measured in hours. Autonomous Cloud Operations replaces that cycle with closed-loop autonomy. Detection, diagnosis, remediation, and verification happen continuously, without a human in the loop for routine issues. Resolution is measured in minutes. Autonomous Cloud Operations is built to take on what MSPs deliver operationally running faster, more consistently, and at a predictable fixed cost. The transition is progressive: Autonomous Cloud Operations takes on operational scope as confidence in the platform grows, naturally reducing the volume of work being managed externally.

How does Autonomous Cloud Operations compare to AIOps platforms and vendors that claim AI-powered IT operations?

Most AIOps platforms are tools, not services. They surface alerts, correlate events, and recommend remediations. Someone on your team or your MSP still has to act on what they surface. They can make your existing operations faster or smarter, but the execution and accountability stay with you.

Autonomous Cloud Operations is different in two fundamental ways. First, it is a managed service: Firemind takes operational accountability for your cloud environment. You are not buying a platform to configure and run yourselves. Second, it closes the loop. Rather than flagging an incident or suggesting a fix, Autonomous Cloud Operations detects, diagnoses, and resolves it autonomously. The accountability sits with Firemind, not with your team to action a tool's output.

We use an external MSP to run our IT operations. Can Autonomous Cloud Operations still work for us?

Yes. Autonomous Cloud Operations connects directly to your cloud infrastructure and operates independently of how your IT is currently managed. It takes on the routine, high-volume operational work — incident response, patching, security posture management, service fulfilment — and runs it autonomously at a fixed cost per host. If you have an existing MSP contract, the transition is progressive: Autonomous Cloud Operations takes on operational scope as confidence in the platform grows, naturally reducing what your MSP needs to cover. The direction is fewer external dependencies over time, not a permanent split.

Does Autonomous Cloud Operations replace our IT team or our MSP?

No, but it does change what they're needed for. If you have an in-house IT team, Autonomous Cloud Operations shifts their time away from reactive operational work and towards architecture, governance, and strategic delivery. If you use an external MSP, Autonomous Cloud Operations handles the high-volume, repeatable work the MSP was covering. Over time, that typically means a narrower and less expensive MSP scope, not an overnight replacement. You stay in control of what Autonomous Cloud Operations can and cannot do. The governance relationship remains yours.

What cloud platforms does Autonomous Cloud Operations support?

Autonomous Cloud Operations operates on AWS, Azure, Google Cloud, and VMware/vSphere on-premises environments. Multi-cloud and hybrid setups are supported. Autonomous Cloud Operations integrates with the tools your team already uses, including ServiceNow, Jira, Confluence, AWS Security Hub, GuardDuty, and CloudWatch. No retooling required.

How do you make sure Autonomous Cloud Operations only does what we've approved?

Autonomous Cloud Operations runs on a default-deny model. You define a whitelist of permitted actions. Autonomous Cloud Operations can't act outside it, even if the underlying cloud role technically allows it. Low-risk, reversible actions execute automatically. High-risk changes require human approval. You set the boundaries; Autonomous Cloud Operations works within them.

Do we have to hand over full control from day one?

No. Autonomous Cloud Operations follows a progressive autonomy model across four phases. It starts in read-only Discovery mode. No automated actions take place. From there it moves to Assisted (AI suggests, humans approve everything), then Supervised (low-risk actions auto-execute, high-risk still requires approval), and finally Autonomous. Each phase only advances when results are verified. You expand trust at a pace that makes sense for your organisation.

Proven in production

Results from real environments.

Enterprise cloud estates, running autonomously. Outcomes measured, not estimated.

Start with a focused conversation about your cloud estate.

We run a no-obligation discovery call to understand your infrastructure, your current operational challenges, and what autonomous operations would mean for your team.

Your benefits:

  • One fixed monthly cost - regardless of incident volume.
  • Incidents resolved in minutes - before anyone is paged.
  • Security posture maintained continuously - not reviewed quarterly.
  • Every efficiency gain - goes back to your team and your bottom line.

What happens next?

Talk.

A 30-minute focused discussion about your cloud estate and goals.

Scope a pilot.

50 hosts, non-production, running alongside your current setup.

Results.

A validated business case in 8 weeks, measured from your environment.

No obligation. Just a focused 30-minute discussion about your cloud estate.