Incident briefing
Summarize signals, related changes, recent deployments, owners, and likely impact.
AIOps
AI for operational signal, not more alerts.
Ydhya builds AIOps workflows that help operations teams understand what changed, what matters, who owns it, and what to do next. The system sits around your telemetry, ticketing, runbooks, and service context.
Talk through this use caseThe buyer problem
Operations teams already have dashboards and alerts. What they need is judgment: correlation, prioritization, context, and safe next actions that reduce noise instead of adding another screen.
Operational workflows we build
The work we take on
Alert deduplication
Group repeated symptoms into one incident with confidence and escalation logic.
Runbook assistance
Suggest or trigger approved remediation steps for known issues.
Delivery model
How Ydhya delivers it
Signal inventory
We map alerts, logs, traces, service ownership, incident history, and runbooks.
Triage workflow
We define the decision flow for correlation, prioritization, escalation, and action.
Operational rollout
We connect the workflow to the tools teams already use and measure incident outcomes.
The production bar
What makes it production-ready
Less noise
The workflow should reduce duplicate alerts and context-switching.
Auditable actions
Automated remediation needs clear permissions, logs, and rollback paths.
On-call fit
Outputs must be fast, concise, and useful under pressure.
Next service
MLOps & LLMOpsShow us the alert stream your team no longer trusts.
We will identify where AI can improve triage without adding operational risk.
Contact us