Production that operates itself — monitoring, scaling and incidents, run by AI.
GIIP’s AI multi-agent FDE Ops runs the production layer: monitoring, alerting, auto-scaling, incident response and continuous reliability — SRE automation with senior engineers on the high-risk calls.
24/7 reliability · consistent runbooks · humans on escalation.
Keeping production healthy is relentless, and manual operations always fall behind.
Monitoring, on-call, scaling and post-incident learning are a continuous discipline. Done reactively, reliability plateaus and the same incidents keep coming back.
Reactive, not resilient
Without disciplined automation, teams react to symptoms instead of engineering out the root causes.
Scaling is a guessing game
Manual capacity decisions swing between over-provisioned waste and under-provisioned outages.
Incidents repeat
When post-incident learning isn’t systematic, the same failures resurface again and again.
On-call wears people down
Human rotations burn out your strongest engineers, and burnout quietly erodes reliability further.
AI agents run monitoring, scaling and incident response continuously — humans own escalation.
GIIP operates the production layer of FDE Ops: detection, remediation, scaling and reliability engineering, coordinated by AI and governed by senior SREs.
Monitoring, alerting & incident response
AI agents detect, triage and remediate around the clock with consistent, documented runbooks — no on-call gaps.
Auto-scaling that fits demand
Capacity tracks real load, so you avoid both over-provisioned waste and under-provisioned outages.
Reliability engineered, not re-fought
Every incident feeds structured post-incident learning, so recurring failures are designed out.
Humans on escalation
Senior SREs own high-risk and novel decisions, keeping automation accountable and safe.
What AI production operations gives you
24/7
Coverage without human on-call rotations
0
On-call burnout on your core team
100%
Documented, repeatable runbooks
↑
Reliability that compounds over time
Frequently asked questions
How is this different from a monitoring tool?
A monitoring tool tells you something is wrong. AI production operations detects, triages and remediates using runbooks, scales capacity to demand, and feeds every incident into reliability engineering — with senior SREs on escalation.
Does AI resolve incidents or just alert?
Both. AI agents execute remediation runbooks automatically and escalate high-risk or novel incidents to human engineers, after which the resolution becomes a new documented runbook.
Can it work with our existing observability stack?
Yes. GIIP integrates with standard monitoring and alerting toolchains across major clouds and Kubernetes rather than replacing them.
Stop firefighting production. Let an AI operations team hold the pager.
Get in touch AI infrastructure operationsYour infrastructure, provisioned and operated by AI — as code, under governance.
Get in touch For teams watching the cloud bill climbRight-sizing trims the surface. We cut the work that built the bill.
Get in touchLet AI keep production healthy.
Tell us where reliability hurts. We’ll show you how AI production operations holds the pager and engineers the failures out.