AI Operations Copilot,Built For Cloud Support Teams
Incident correlation, runbook recommendations, and human-approved execution across your existing observability, ITSM, and chat tools.
How Nivan Works
From log ingestion to ticket closure — a complete operational workflow with built-in telemetry, AI investigation, and human-approved execution.
Logs + Metrics Collected
Nivan ingests log streams, infrastructure metrics, and operational signals directly — no separate observability platform required.
- Built-in log and metrics ingestion
- Attach operational events and deploy signals
- Establish incident timeline from first signal
Incident Detected
An alert or anomaly opens an incident context in Nivan, consolidating all signals into a single operational record.
- Collect alert metadata and impacted services
- Attach recent deploy and config change signals
- Track timeline from first detection
AI Investigation
Nivan correlates logs, events, and known failure patterns to surface probable root causes with context.
- Link related incidents and service dependencies
- Surface probable root causes with confidence ranking
- Connect change history to failure signatures
Knowledge Retrieved
Relevant runbooks, historical resolutions, and operational procedures are surfaced automatically.
- Pull matching runbooks from the knowledge base
- Surface historical incident resolutions
- Attach relevant documentation and KB references
Remediation Suggested
AI drafts recommended actions and runbook steps with expected impact and blast radius.
- Show why each action is recommended
- Display blast radius and rollback guidance
- Include confidence level for each suggestion
Operator Approval
High-impact actions require explicit human approval before anything executes.
- Approve in portal or directly from Slack/Teams
- Enforce RBAC and approval policies
- Keep full who-approved-what audit records
Workflow Execution
Approved runbooks execute through controlled tool integrations within policy boundaries.
- Run scoped and pre-approved operations only
- Stream execution logs in real time
- Stop or rollback based on guardrails
Ticket Updated
Incident records are updated automatically with actions, approvals, and outcomes.
- Post remediation summary to ITSM system
- Attach evidence, timeline, and approvals
- Mark follow-up actions if needed
Slack/Teams Notification
Stakeholders receive concise status updates and escalation notifications without leaving their chat platform.
- Notify channel with outcome and risk state
- Page human operator when AI confidence is low
- Close loop with post-incident context
Faster response, less context switching
One incident record across alerts, remediation, and comms
AI with guardrails, not autopilot
RBAC approvals and audit trails built into every step
Core Capabilities
Four pillars that reduce toil, improve MTTR, and keep operators in control
AI Correlation & Incident Context
Nivan correlates cloud events, logs, alerts, and change history into one incident timeline so responders can move quickly with evidence.
Runbook Execution With Guardrails
Runbooks execute through controlled integrations with policy checks, scoped permissions, and rollback guidance for safer production changes.
Operator-Centered Response
Nivan filters noise, highlights probable causes, and escalates at the right moments so operators can focus on meaningful decisions.
Approvals, RBAC, and Audit Trails
Sensitive actions require human approval and every action is logged for compliance, postmortems, and operational accountability.
Platform Capabilities
Six operational capabilities that work together as a single unified platform — designed for lean teams that need operational simplicity without enterprise licensing complexity.
Operational Visibility
Collect operational telemetry — logs, metrics, AWS Config, CloudTrail — to support incident detection and remediation workflows without a separate observability platform.
- Built-in log and metrics ingestion
- AWS Config + CloudTrail operational context
- Continuous asset and event inventory
AI-Assisted Investigation
Correlate incidents, retrieve operational context, and suggest remediation workflows using AI-assisted investigation with centralized operational data.
- Multi-source incident correlation
- Operational context retrieval at incident time
- AI-generated remediation suggestions
Governed Automation
Execute approved operational workflows with RBAC enforcement, operator approval gates, and immutable audit trails at every step.
- Operator approval required for execution
- RBAC-scoped workflow enforcement
- Immutable audit logs per action
Workflow Orchestration
Coordinate incidents, approvals, escalations, and remediation workflows across teams and systems in a structured operational flow.
- Structured escalation and approval routing
- Cross-system workflow coordination
- Single incident record across all steps
ITSM Integrations
Integrate with Jira, ServiceNow, and existing customer ticketing systems — without replacing current workflows or operational tooling.
- Automatic ticket creation and updates
- Bidirectional ITSM sync
- Attach evidence and approvals to tickets
Multi-Tenant Security
Tenant-isolated operational workflows enforced through PostgreSQL RLS and centralized context management — built for MSP and multi-customer environments.
- PostgreSQL RLS tenant isolation
- Centralized data access via niva-context
- Separate audit trails per customer
Integrations
Works with the tools you already use
AWS
Slack
PagerDuty
Datadog
GitHub
Jira
CloudWatch
CloudTrail
Need a custom integration?
Talk to our teamSee The Incident Flow In Action
Alert to approved remediation to ticket update in one operator-friendly workflow.