The average incident takes 47 minutes to resolve.
Three engineers, six dashboards, and a Slack search later, the root cause is still forming. AI Cloud Ops removes that loop.
Four purpose-built AI agents that diagnose incidents, generate remediation playbooks, and keep every infrastructure change accountable — in under 60 seconds.
Three engineers, six dashboards, and a Slack search later, the root cause is still forming. AI Cloud Ops removes that loop.
Requests stall in review, ownership shifts, and teams still lack a safe next step. AI Cloud Ops turns that into ready-to-approve action.
AI Cloud Ops compresses diagnosis, decision-making, and governed action into one auditable system.
Four purpose-built agents. Each a specialist. Together, a fully autonomous ops team that never sleeps, never misses an alert, and never pages you for something it can handle itself.
Cloud-Ops meets your infrastructure where it already lives. One platform. Your tools. Your cloud. Your models — rather than yet another silo.
Every Terraform plan TERRA generates is committed to git automatically — local repo for single-team flows, or point it at a GitHub remote and Cloud-Ops opens a pull request per plan with the originating job link. Your infrastructure changes go through the same review process as your application code.
The MID server bridge maps sn_ticket_id, cmdb_ci, priority, and short_description straight into Cloud-Ops' diagnostic pipeline. Incidents flow from your ITSM into AI-driven diagnosis without manual translation or duplicate data entry.
Approvals, rejections, and incident updates surface in Slack via HMAC-verified interaction callbacks. Your on-call team stays in their existing channel — no extra dashboard, no second login. Microsoft Teams works the same way.
AI Cloud Ops helps teams understand faster, build safer changes, and recover without coordination drag.
Signals, resources, and prior decisions are scattered across dashboards, tickets, and memory.
Teams work from one shared operational context with the right evidence already in view.
Requests turn into manual coordination, unclear ownership, and risky handoffs before anything is ready.
AI Cloud Ops prepares safe, reviewable next actions so teams spend time deciding, not stitching work together.
Recovery is slowed by uncertainty, fragmented ownership, and too many steps between detection and action.
Responses move with control, clear approvals, and accountable execution instead of coordination drag.
No bolted-on auth. NextAuth with admin / operator / viewer roles enforced on every endpoint, first login guided by a secure token flow.
HMAC-verified Slack callbacks. Confidence scoring and risk tiers decide what auto-executes; anything that touches prod data or scaling limits waits for a recorded human approver.
Every diagnosis, playbook, Terraform plan, and approver is stored per incident. Replay any decision later, end to end — compliance reviews take minutes, not days.
Runs in your VPC. SQLite, S3, or Postgres for state. Your keys, your data, your models.
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