Architecture
How Bright Operations works
Three integrated layers — input, intelligence, execution — connected by a data model that links every technical component to the business it supports.
Layer 01
Input Layer — Monitoring & Observability
Every signal from every tool, normalized into one unified entity model
Datadog
Dynatrace
Prometheus
Splunk
New Relic
Grafana
PagerDutyZZabbix
NNagios
CCloudWatch
Azure Monitor+ 140 more
Layer 02 · AI-Native
Intelligence Layer — AI Engine
Business-aware correlation, root cause analysis, and SLA intelligence
Entity model (5 layers)
Correlation between many layers
RAG status computation
AI root cause analysis
SLA breach detection
Revenue risk quantification
Known problem matching
Confidence scoring
Relationship traversal
Technology attribute scoring
Engineer workload analysis
Layer 03
Execution Layer — ITSM & Resolution
Incidents, changes, and service requests managed with full context and audit trail
SServiceNow
Jira Service ManagementBBMC Helix
AnsibleCorrective action tracking
Change request management
Lessons learned capture
Resolution audit trail
90%
Alert noise reduction — AI groups events into meaningful incidents
60%
Reduction in MTTR — root cause identified in minutes, not hours
100%
SLA visibility — every breach, every entity, every penalty quantified
See the platform mapped to your stack.
30-minute technical session. We bring the questions. You bring your environment.