IT operations that never stop improving. Reliability increases, costs decrease, and every insight is put into action.
Your monitoring platforms and security tools generate findings every day. The gap is not visibility. It is execution. We close it.
Your monitoring surfaces issues the moment they appear. We resolve them before your engineers are ever called.
We build on the operational knowledge already in your organisation. Every incident resolution adds to it. When engineers move on, the operating model keeps running. It does not walk out with them.
Recommendations are generated every day. Autonomous operations acts on them as a matter of routine. Savings move on from intention to action.
The more autonomous your operations become, the more value your organisation captures.
Firemind runs your infrastructure as an autonomous managed service across every operational domain. Fixed monthly cost per host. One predictable number, regardless of incident volume or complexity. We work alongside your existing tooling.
We run the full operational surface across your AWS, Azure, and GCP estate. Alarm triage, root cause identification, remediation, and post-incident encoding. Your engineers don't get paged. Compliance is maintained continuously, not reviewed after the fact. Configuration drift is corrected before it becomes a problem. Provisioning, access, and scaling requests are fulfilled within SLA, whatever the time zone or incident volume.
Your on-premises and hybrid VMware estate, fully managed. vSphere, ESXi, and vCenter kept current. Maintenance windows don't become your team's problem. We manage patching cadences, capacity thresholds, and VM lifecycle from provisioning to decommission. Orchestration runs to policy. Hybrid connectivity between on-premises and cloud stays governed and stable.
The cost savings your team identified but never had time to act on, executed automatically, as a matter of routine. Rightsizing, idle resource termination, reserved instance and savings plan optimisation, storage tier migration. These recommendations exist in your dashboards today. We act on them within policy, without a project or a sprint. We track realised savings against the original recommendation. The business case improves every month.
Your database estate, managed autonomously. Query performance monitored and tuned continuously. Patching tested before it reaches production. Backups verified, restore integrity confirmed as standard. Availability events remediated before they become outages. We cover RDS, Aurora, self-managed SQL Server, PostgreSQL, and MySQL, across cloud and on-premises.
Results from live production environments.
Average MTTR
From detection to verified resolution. Your on-call team sleeps through the night.
Auto-resolution rate
Episodes closed without human touch. Incidents close before your team sees them.
Ops cost reduction
Per-host savings, optimised continuously. IT budget freed for strategic investment.
First-line engineer time freed
Shifted to architecture and roadmap work. Senior engineers on architecture, not alerts.
Built for autonomous operations from the ground up, on a default-deny model. It can only do what you explicitly allow. Every action is logged, every decision is auditable, and every high-risk intervention requires the appropriate approval before it executes.
No high-risk change runs without engineer review. Automated actions stay within policy. Anything outside it goes to a human.
Every action logged, end to end. Full traceability for every change, every incident, every remediation. Ready for internal and external audit.
No credential storage, no data egress. We operate entirely within your environment boundary. Your data never leaves your cloud account.
Validated for regulated industries. Assessed and documented for compliance with the EU AI Act. Suitable for financial services, healthcare, and critical infrastructure.
We bring the skills and governance your organisation needs to run autonomous operations safely. No need to build them from scratch. You set the pace.
A focused pilot, scoped to your environment, delivers a validated business case in 8 weeks. No large procurement required. A pilot at this scale sits within discretionary spend. Your team decides.
Fixed per-host pricing. One predictable number every month, regardless of incident volume or complexity. The cost is clear before you start.
Autonomous operations is an operating model where IT infrastructure and operations are managed by machines rather than people, delivered as a managed service. Instead of engineers responding to every alert, processing every service request, and executing every routine task manually, AI agents handle the full cycle: detecting issues, diagnosing root causes, and resolving them. Firemind runs the service and oversees the autonomy. You define the boundaries of what the system can and cannot do.
Traditional automation executes a fixed script when triggered. It does exactly what it was programmed to do. Nothing more. Autonomous operations goes further: it detects conditions, reasons about them, selects the right response, executes it, and verifies the outcome. When something unexpected happens, it adapts rather than failing or escalating. The difference is between a set of rules and a system that can think.
The question is less about size and more about conditions. Any organisation running a complex cloud or hybrid environment, with a steady flow of incidents, service requests, patching cycles, and compliance requirements, benefits from autonomous operations, whether IT is managed in-house or through a provider. In the traditional model, all of that work requires human execution: someone to respond to the alert, someone to act on the FinOps finding, someone to run the patch. Autonomous operations replaces that with machines that are faster, more consistent, and significantly cheaper. The organisations that feel the biggest difference fastest are those where operational volume and complexity have outgrown the team or provider managing it.
The fundamental shift is that machines take over what people used to do, and that changes several things at once. Speed: incidents that used to take hours to resolve now take minutes, around the clock, without anyone being paged. Quality: every action executes to the same standard, every time: no shortcuts, no missed steps, no dependency on who happens to be on call. Safety: security findings are remediated as they appear, not left open for quarters. And knowledge: the platform captures how your environment is operated, the runbooks, the decisions, the edge cases, so it stays in the system when people move on. There is also a category of work that was always identified but never acted on: FinOps recommendations, configuration improvements, minor compliance findings. In a human-operated model, these queue up behind engineering capacity and most never get done. In an autonomous operations model, machines act on them as a matter of routine. The infrastructure improves continuously rather than in periodic bursts.
Firemind's autonomous operations service begins in a read-only discovery phase. Nothing in your environment changes automatically. The starting point is understanding your current operational picture: what is running, what is generating incidents, where compliance gaps exist, and where costs can be reduced. You see what autonomous operations would deliver for your specific environment before any automated action takes place. From there you decide whether and how far to expand.
We run a no-obligation discovery call to understand your infrastructure, your current operational challenges, and what autonomous operations would mean for your team.
A 30-minute focused discussion about your goals.
We design a contained pilot around your highest-priority challenge.
A validated business case in 8 weeks, with measured outcomes from your environment.
No obligation - just a focused 30-minute discussion about your goals.