IT Operations
What Technspire builds for IT operations and platform teams: incident triage agents, runbook automation, RAG over the runbook and knowledge corpus, and compliance reporting workflows for SOC 2, ISO 27001, NIS2, and DORA. This page describes our offerings; talk to us about applying them in your organisation.
reference architecture, not a client story
Operations teams sit at the intersection of growing alert volume, growing system surface, and stagnant headcount. AI moves the needle in three places: triage (so humans see only the alerts that need humans), runbook execution (so routine recovery does not need pager-out-of-bed time), and knowledge retrieval (so the on-call engineer has the right runbook in front of them in seconds, not minutes).
Technspire builds operations AI grounded in your existing observability, ticketing, and runbook infrastructure. The work is not an AI replacement for ops; it is AI alongside ops, with human-in-loop where the action is consequential.
Agents that ingest incoming alerts and incidents, correlate them with current system state, classify severity, propose likely root causes from prior incident history, and route to the right responder. Human-in-loop for any classification or action above a confidence threshold.
Stack: Azure OpenAI, Microsoft Sentinel for security correlation, integration with PagerDuty/Opsgenie/ServiceNow, Application Insights for telemetry.
Conversion of existing runbooks into agent-executable workflows for routine recovery: cache flushes, certificate rotation, instance recycling, queue drain. Idempotent execution with rollback hooks, audit trails, and explicit confirmation for any destructive action.
Stack: Azure Logic Apps or Durable Functions, Azure Automation, Microsoft Sentinel for orchestration, Entra-backed identity.
RAG over your runbook library, post-mortems, and internal documentation. Surfaces the right runbook in the on-call channel within seconds of an incident page, with citations to the source.
Stack: Azure AI Search, Azure OpenAI, Microsoft Teams or Slack integration, Application Insights for query telemetry.
AI-assisted compliance reporting for SOC 2, ISO 27001, NIS2, and DORA: evidence collection from your existing systems, control-mapping documentation, and pre-audit gap analysis. The work an audit engagement actually requires, scoped tightly.
Stack: Microsoft Purview, Azure Policy, Azure Monitor for evidence, Microsoft Sentinel for security signals, Power BI for audit dashboards.
IT operations AI lives inside SOC 2, ISO 27001, NIS2 (24h / 72h / 1-month incident reporting), DORA for financial-sector firms, and the EU AI Act where the workload makes consequential decisions. We architect audit trails, evidence retention, and human-oversight surfaces that satisfy these obligations as part of the workload, not as a bolt-on after the fact.
Discovery (2–4 weeks). Audit of current alerting, ticketing, and runbook estate. Integration mapping for the systems the workload touches. Scoped proposal with named engineers.
First vertical slice (4–8 weeks). One working slice, end to end: one alert class triaged, one runbook automated, one knowledge query path. Real telemetry, real evaluation, real handover.
Sustained delivery. Iterative expansion across alert classes and runbooks. Documentation, evaluation suites, and on-call runbooks land alongside the code.
Short conversations are free. Bring an alert-volume problem, a runbook automation question, or an audit you are preparing for.