Operate: the half most AI projects forget.
Once an environment is architected and automated it has to be run. Patching, monitoring, backup, security response, cost control and a support desk that understands the systems, because the people answering built them.
Managed services matter, but they do not define Sigma Labs. They are the operating layer under the architecture, automation and AI work, delivered by the same team.
Workplace platform operations
Microsoft 365 and Google Workspace tenant administration, identity lifecycle, licence management, mail flow, and SharePoint, Drive, Teams and Slack governance kept in the state it was designed in.
Cloud operations
Monitoring, patching, backup, cost management and change control for Azure and Google Cloud workloads, including private AI operations layers.
Endpoints & networks
Devices enrolled and compliant, network equipment monitored and maintained, firmware and configuration managed as a lifecycle.
Backup & recovery
Backups that run, restores that are tested, and runbooks that are rehearsed before they are needed.
Security monitoring & response
Defender and Google Workspace alerts triaged, conditional and context-aware access maintained, identity risk acted on, and incidents handled with a documented process.
Support & continuous improvement
A support desk with escalation to the architects, and a review cadence that turns recurring tickets into automation.
Practical questions, practical answers.
Can you work alongside our existing IT person?
Do you lock clients into long contracts?
How long does onboarding take?
What are your response times?
Talk to the people who would actually run it.
Managed services scoped to your environment, with the architecture and automation work available from the same team when you need it.