We deliver your managed services autonomously.
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
Cloud Infrastructure Management 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.
Ready to see this running in your environment?
A 30-minute conversation is all it takes to scope a contained pilot.
A contained pilot runs alongside your existing operations. No disruption, no lock-in, and a validated business case in 4 weeks.
50 hosts. Non-production. Cloud Infrastructure Management runs parallel to your current setup from week one, with your existing operations untouched.
At week 4, results are measured side-by-side against your pre-pilot baseline. No interpretation required.
If the business case is proven, expand scope at your pace. If not, no obligation and no hard feelings.
These numbers come from live enterprise environments. Not projections. Measured outcomes from closed-loop cloud infrastructure management 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.
Customer stories
Cloud estates operated in production. Outcomes measured, not estimated.
A fully read-only AWS assessment across roughly 30 accounts. $350,000 a year identified, three findings no existing tool had ever surfaced.
Firemind's IT Operations Engine ran a Nordic enterprise's Azure estate, cutting task resolution from 20 hours to 23 minutes, human-approved throughout.
Autonomous cloud operations across a Nordic enterprise AWS estate. 36 of 36 test cases passed, zero disruptions, estate-wide changes in minutes.
FAQ
Cloud Infrastructure Management is a managed service that replaces human-executed IT operations with machine-executed ones. Where AIOps platforms surface insights and recommendations, Cloud Infrastructure Management 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. Cloud Infrastructure Management 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.
Cloud Infrastructure Management 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.
A traditional managed service is still human-executed: people respond to alerts, follow runbooks, and close tickets. Response times are measured in hours. Cloud Infrastructure Management 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. Cloud Infrastructure Management is built to take on what MSPs deliver operationally running faster, more consistently, and at a predictable fixed cost. The transition is progressive: Cloud Infrastructure Management takes on operational scope as confidence in the platform grows, naturally reducing the volume of work being managed externally.
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.
Cloud Infrastructure Management 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, Cloud Infrastructure Management detects, diagnoses, and resolves it autonomously. The accountability sits with Firemind, not with your team to action a tool's output.
Yes. Cloud Infrastructure Management 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: Cloud Infrastructure Management 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.
No, but it does change what they're needed for. If you have an in-house IT team, Cloud Infrastructure Management shifts their time away from reactive operational work and towards architecture, governance, and strategic delivery. If you use an external MSP, Cloud Infrastructure Management 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 Cloud Infrastructure Management can and cannot do. The governance relationship remains yours.
Cloud Infrastructure Management operates on AWS, Azure, Google Cloud, and VMware/vSphere on-premises environments. Multi-cloud and hybrid setups are supported. Cloud Infrastructure Management integrates with the tools your team already uses, including ServiceNow, Jira, Confluence, AWS Security Hub, GuardDuty, and CloudWatch. No retooling required.
Cloud Infrastructure Management runs on a default-deny model. You define a whitelist of permitted actions. Cloud Infrastructure Management 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; Cloud Infrastructure Management works within them.
No. Cloud Infrastructure Management 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.
