AI-Assisted Operations Platform
AI Suggests. Humans Approve. Every Action Is Auditable.

Unified AI-AssistedOperations Platform

Monitor systems, investigate incidents, execute remediation workflows, and keep operators in control — without expensive enterprise tooling.

Nivan combines operational visibility, AI-assisted investigation, governed automation, and workflow orchestration into a single multi-tenant platform.

Read-only by default  ·  Operator approvals for sensitive actions  ·  Complete audit trails

End-to-End Incident Workflow

1
Logs + Metrics Collected
2
Incident Detected
3
AI Investigation
4
Knowledge Retrieved
5
Remediation Suggested
6
Operator Approves
7
Workflow Executes
8
Ticket Updated
9
Slack Notified

Integrates With Your Existing Stack

AWS
Kubernetes
Slack
Teams
Jira
ServiceNow
Datadog
Splunk
PagerDuty
GitLab
The Problem

Modern Operations Teams Are Overwhelmed

Growing cloud environments, rising tooling costs, and manual workflows create an operational burden that most teams cannot scale through.

Alert Fatigue

Teams are overwhelmed by high-volume, low-context alerts. Responders spend hours triaging noise instead of resolving real incidents.

Operational Tool Sprawl

Monitoring, ITSM, chat, and runbooks live in separate systems. Context is scattered and workflows require manual stitching across tools.

Rising Observability Costs

Enterprise monitoring platforms carry per-host and per-log pricing that grows faster than team size. SMB and mid-market teams are priced out.

Manual Remediation

Even well-documented runbooks require engineers to execute each step by hand. Remediation slows under pressure when it matters most.

Disconnected Workflows

Incident response, approval, ticket creation, and team notification happen in silos. Coordination overhead turns minutes into hours.

Tribal Operational Knowledge

Runbooks live in wikis, Slack threads, and individual engineers’ heads. New responders start from scratch on every incident class.

Repetitive Incident Handling

The same class of incident is investigated and resolved differently by different engineers every time, with no structured enforcement.

Nivan consolidates operational visibility, incident workflows, AI-assisted investigation, governed remediation, and ticketing integrations into a unified operational platform.

One platform. Centralized operational context. Human-controlled execution. Designed for lean teams that cannot afford the complexity or cost of a traditional enterprise stack.

Built for Real Operations Teams

Traditional operations environments were built on fragmented tools designed for different problems. Nivan was designed as a unified operational platform from the ground up.

Traditional Operations Stack

Multiple tools, fragmented workflows

With Nivan

Unified operational platform

Multiple disconnected tools
Unified operational platform
Expensive observability licensing
Built-in operational visibility
Fragmented workflows across systems
Centralized incident workflows
Manual remediation under pressure
AI-assisted + governed automation
Poor operational context at incident time
Centralized operational context always available
Tribal knowledge and alert fatigue
AI investigation + structured knowledge retrieval

One platform. Centralized operational context. Human-controlled execution.

Nivan is not a chatbot, an observability product, or a generic automation tool. It is an operational workflow platform designed to make lean operations teams effective.

How Nivan Works

From log ingestion to ticket closure — a complete operational workflow with built-in telemetry, AI investigation, and human-approved execution.

1
Logs + Metrics Collected
2
Incident Detected
3
AI Investigation
4
Knowledge Retrieved
5
Remediation Suggested
6
Operator Approval
7
Workflow Execution
8
Ticket Updated
9
Slack/Teams Notification
1

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
2

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
3

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
4

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
5

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
6

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
7

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
8

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
9

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

Built-In Telemetry

Operational Visibility Built In

Nivan ingests logs, metrics, AWS Config, CloudTrail, and operational events to maintain continuous operational context for investigations and remediation workflows.

Operational visibility optimized for incident workflows — not a full observability replacement.

Nivan Ingests

Application Logs & Metrics

Structured log streams, infrastructure metrics, latency, and availability signals

AWS Config & CloudTrail

Asset inventory, configuration changes, and who-made-what-change audit events

Operational Events & CUR

Deploys, alerts, incident triggers, and cost/usage data for operational context

Nivan

AI-Assisted Operations Platform

Single platform.

No separate observability subscription required.

Nivan Delivers

Incident Context

Correlated view of what happened, when, and why

Operational Visibility

Health status across systems without enterprise dashboards

Remediation Guidance

AI-surfaced runbooks and suggested actions with context

Workflow Automation

Governed execution with operator approval at every step

Reduce dependence on expensive observability tooling

Teams with limited observability budgets get operational visibility, AI-assisted investigation, and governed automation without enterprise licensing complexity.

No separate observability subscription
Consolidate operational workflows into one platform
Built for lean operations teams

See Nivan in Action

Watch a realistic incident workflow from alert ingestion to operator-approved remediation and ticket updates.

Interactive Product Tour

Explore Nivan at your own pace with 24-hour access to a stock AWS account and default configuration.

  • Investigate an incident with correlated alerts and cloud events
  • Approve remediation and watch the runbook execute
  • See ticket and Slack updates generated automatically
Start Quick Demo

24-hour access • stock environment

Live Demo with Our Team

Watch Nivan walk through a real cloud incident with an engineer. Choose a free trial with customer integration, or a customized demo account for longer evaluation.

  • Watch us investigate a live AWS incident
  • See AI-assisted diagnostics and approval steps in real-time
  • Ask questions about your tools, tenants, and approval model
Start Free Trial

15 minutes • Talk to an engineer, not sales

New: Watch Nivanix investigate an incident from alarm to resolution

Quick Demo
Human-in-the-Loop by Design

Keep Operators in Control

Enterprise buyers need automation they can trust in production. Nivan's governance model makes AI-assisted execution safe by default.

AI
Suggests
Recommends actions based on incident context and operational knowledge
Operator
Approves
Reviews and authorizes execution with full context visible
Platform
Executes + Audits
Runs within policy boundaries with full execution trace recorded

Operators Approve Execution

High-impact actions require explicit approval from a qualified operator before anything executes in your environment.

Role-Based Permissions

Granular RBAC controls define exactly who can approve which actions and in which tenants or environments.

Every Action Audited

Complete audit trail of who approved what, when, and why. Immutable logs exportable to your SIEM or compliance tools.

Policy-Gated Automation

Runbooks execute only within defined policy boundaries. Guardrails prevent scope creep and unintended actions.

Tenant Isolation

In multi-tenant environments, each customer's operations are fully isolated with separate execution contexts and access controls.

Rollback and Stop Controls

Operators can halt execution mid-runbook and roll back changes. No runaway automation.

"AI without governance is a liability. Nivan treats human oversight as a first-class operational requirement, not an afterthought."

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
Platform Architecture

Platform Architecture

Unified operational visibility, AI-assisted investigation, and governed remediation workflows — built for multi-tenant cloud operations.

Layer 1 — Operational Signals & Integrations

Logs
Metrics
AWS Config
CloudTrail
CUR Data
Jira
ServiceNow
Slack
MS Teams

Nivan Unified Operations Platform

niva-integration

AWS inventory, CloudTrail, and telemetry ingestion.

niva-agent

AI-assisted investigation, incident analysis, and remediation suggestions.

Read-Only Investigation

niva-context

Centralized operational context and secure data access layer.

All DB Access Flows Here

niva-core

User-facing operations portal and workflow management.

Approval & Workflow Engine

Operator approvals and governed execution — between AI reasoning and any action.

Human Approval Gate

PostgreSQL + RLS

Tenant-isolated operational data enforced at the database layer.

Tenant Isolation · Audit Trail

Layer 3 — Governed Operational Execution

Remediation Workflows
Operator Approvals
Ticket Updates
Slack Notifications
Teams Notifications

AI Reasoning Separated from Execution

niva-agent investigates and suggests — it never executes. Actions only proceed after operator approval.

Approval-Gated Remediation Workflows

Every remediation action requires an explicit operator approval before the workflow engine executes anything.

Tenant-Isolated Operational Context

PostgreSQL RLS enforces tenant data isolation at the database layer. Data never crosses tenant boundaries.

Immutable Operational Audit Trails

Every action, approval, and execution workflow is logged with who, what, when, and outcome — for every tenant.

Architecture Principles

AI-Assisted Investigation

AI reasoning is isolated from operational execution — focused on investigation, correlation, and remediation guidance only.

Human-Controlled Execution

All remediation and execution workflows require explicit operator approval before any action is performed.

Centralized Operational Context

Telemetry, cloud inventory, incidents, and workflows are unified through niva-context — the single data access layer.

Tenant-Isolated Architecture

PostgreSQL Row-Level Security (RLS) enforces tenant isolation across all operational workflows and APIs.

Immutable Auditability

Every operational action, approval, and workflow execution is logged and traceable across all tenants.

Built-In Operational Visibility

Logs, metrics, AWS Config, CloudTrail, and CUR data are collected directly into the platform — no separate observability subscription required.

Incident Workflow

From first signal to resolved ticket — operator approval is the critical governance gate

1

Logs + Metrics Collected

2

Incident Detected

3

AI Investigation

4

Context Retrieved

5

Remediation Suggested

APPROVAL GATE
6

Operator Approval

7

Workflow Execution

8

Ticket Updated

9

Slack/Teams Notified

Built for Lean Operations Teams

Nivan reduces:

  • Operational tool sprawl
  • Expensive observability licensing
  • Fragmented incident workflows
  • Manual remediation overhead
  • Operational blind spots

While maintaining:

  • Full governance and auditability
  • Operator oversight and approvals
  • Tenant-safe execution boundaries
  • Structured escalation workflows
  • Immutable operational records

Designed for Operational Teams

Nivan serves teams that own cloud incidents — from in-house platform teams to MSPs managing hundreds of customer environments.

Cloud Operations Teams

"Our team spends too much time triaging alerts instead of fixing customer-impacting issues."

How Nivan helps: Nivan correlates incidents, drafts remediation steps, and routes high-impact actions through operator approval workflows — so responders start with context, not noise.

Faster incident context gathering
Reduced repetitive triage tasks
Safer production remediations

Managed Service Providers

"We need consistent incident workflows across customers without cross-tenant risk."

How Nivan helps: Nivan provides tenant-isolated operations with shared operator workflows, audit trails, and integration into existing ticketing and chat systems — safely across all your customers.

Consistent runbook execution per customer
Improved operator productivity per tenant
Clear compliance and audit evidence

Platform Engineering Teams

"We can see alerts, but connecting logs, changes, and ownership still takes too long."

How Nivan helps: Nivan unifies observability signals, change history, and runbooks so platform engineers can move from alert to action faster without switching between a dozen tools.

Quicker root cause hypotheses
Fewer handoff delays between teams
Improved MTTR consistency

Enterprise Support Organizations

"We need governed automation that satisfies compliance and executive oversight requirements."

How Nivan helps: Nivan's RBAC, approval workflows, and immutable audit logs provide the governance layer that enterprise support organizations need before trusting automation in production.

Auditable approval chains for every action
Policy-gated automation execution
SOC2-ready audit evidence

DevOps and SRE Teams

"Too many pages are low-value, but high-risk incidents still require careful human judgment."

How Nivan helps: AI handles repetitive investigation and proposes runbook actions while operators approve sensitive changes. SREs spend time on judgment calls, not routine preparation.

Lower on-call toil and alert fatigue
Higher confidence in automated actions
Better escalation quality

Fits Your Current Incident Workflow

Book a 15-minute architecture walkthrough and see how Nivan connects to your existing observability, ITSM, and chat stack.

Reduce Operational Toil Without Expensive Tooling

Nivan combines built-in telemetry, incident workflows, AI-assisted investigation, governed automation, and ITSM integrations in a single operational platform. No enterprise observability budget required.

Lower Tooling Costs

Replace expensive per-host and per-log observability subscriptions with built-in operational telemetry designed for incident workflows.

How: Built-in log + metrics ingestion, no separate monitoring platform

Unified Workflows

Consolidate incident investigation, approvals, ticket updates, and team notifications into one operational platform instead of five separate tools.

How: Single platform for all operational workflow steps

Faster MTTR

Responders start with correlated context and ready-to-execute runbooks instead of spending the first hour gathering information.

How: AI-assisted investigation + knowledge retrieval at incident time

Lean Team Operations

Operations teams of any size can manage complex cloud environments. AI handles investigation preparation so engineers can focus on judgment.

How: AI-assisted investigation with human approval gates

Governed Automation

Every automated action requires operator approval, enforces RBAC policies, and produces an immutable audit record — without slowing response.

How: Approval-gated execution with immutable audit trails

Operational Simplicity

One platform replaces the coordination overhead of stitching together monitoring, ITSM, chat, and automation tools manually.

How: Integrated observability, ITSM, and workflow automation

Nivan helps lean operations teams monitor systems, investigate incidents, and execute remediation workflows without requiring expensive enterprise observability tooling.

That is the story. One platform. Built for operational simplicity. Designed for teams that cannot or should not pay for enterprise tooling complexity.

Start Free Trial

Simple, Transparent Pricing

Choose a plan that matches your operational complexity and incident response needs.

Starter

For startups with single cloud account

$999/month
  • 1 Cloud Account
  • AI Monitoring & Alerts
  • Business Hours Support
  • Basic ITSM Access
Start Starter Free Trial
Most Popular

Growth

For growing teams with multiple environments

$2,999/month
  • Up to 5 Cloud Accounts
  • 24×7 Incident Response
  • Slack + Full ITSM Suite
  • Automated Runbooks
  • Weekly Review Calls
Start Growth Free Trial

Managed

For companies needing full SRE coverage

Custom
  • Unlimited Accounts
  • Dedicated SRE Team
  • SLA-Backed Support
  • Custom Integrations
Talk to an Operator Architect

Ready To Reduce Cloud Support Toil?

See how Nivan helps cloud support teams reduce repetitive incident work, improve MTTR, and automate safely with operators in control.

Questions? Contact our sales team ortry quick demo