AI-powered IT operations

From reactive to predictive to automated.

Raise Networks brings AI into your IT operations and workflows, with automated service desks, intelligent routing, predictive analytics and self-healing infrastructure.

Atomicwork partnerServiceNow & MoveworksDatabricks analyticsSelf-healing automation
Why it matters

IT teams are drowning in repetitive work that machines can do better.

Password resets, alert noise and manual runbooks consume the hours that should go to improvement.

01

Alert fatigue

Thousands of alerts, few of them actionable.

02

Manual, repetitive tasks

Engineers repeat the same fixes every week.

03

Slow ticket routing

Requests wait in the wrong queue.

04

No predictive insight

Problems are found only after users complain.

The Raise Networks difference

AI-first operations, with humans in control.

We combine AI service management platforms, analytics and automation runbooks, with guardrails and approvals on every action.

AI-firstoperations model
24/7automated monitoring and response
IT · HR · Opsworkflows automated
US + Indiaengineering and support
What we deliver

Intelligent automation across IT operations

AI service desk, automation, analytics and self-healing infrastructure.

Modern office
Resolved by AIUnderstoodActionedConfirmed
AI service desk

An AI front door for every request

AI agents in Teams and Slack answer questions, resolve common requests and route the rest to the right team with context.

  • Atomicwork and ServiceNow AI agents
  • Intelligent routing and summarization
  • Knowledge-powered answers
  • Password, access and software automation
Automation code
WorkflowTriggeredApprovedCompleted
Workflow automation

Runbooks that run themselves

Repetitive operational tasks turned into automated, auditable workflows across IT, HR and business systems.

  • Automated runbooks and playbooks
  • Onboarding and offboarding workflows
  • Approval routing
  • Integration with ITSM and HRIS
Data center
InsightsTrend detectedRisk flaggedAction planned
Predictive analytics

See problems before they happen

Operational data analyzed with Databricks and AIOps tools to spot trends, anomalies and capacity risks early.

  • Anomaly detection
  • Capacity forecasting
  • Noise reduction and alert correlation
  • Operational dashboards
Server hardware
Auto-remediationDetectedFixedLogged
Self-healing infrastructure

Common failures fixed automatically

Known issues trigger automated remediation, from restarting services to scaling resources, with full logging.

  • Automated remediation scripts
  • Auto-scaling and restarts
  • Change logging and rollback
  • Human approval for sensitive actions
Operational intelligence

Automation you can measure

A single view of automated resolutions, alert noise and workflow performance.

Automation OverviewSample view
Auto-resolved requests41%+9%
Alert noise reduced63%+11%
Avg. resolution14 min-6 min
Workflows active27+5
Requests: automated vs. manual
MarAprMayJunJulAugSep
AI agent activity
Password reset, FinanceAuto-resolved
Software request, AdobeApproved
Disk space alert, app-02Self-healed
Access to HR systemNeeds approval
VPN troubleshootingRouted to L2

Illustrative dashboard showing the kind of visibility Raise Networks provides. Figures are sample data.

Use cases

Where AI automation delivers

Pick a use case to see it in action.

Service desk

Requests resolved in chat

Employees get answers and fixes in Teams or Slack.

AI agentKnowledgeActionsRouting
THE TRIGGERI cannot access the sales dashboard.
Agent checks identity and group membership
Missing access detected
Approval requested from manager
Access granted and confirmed
Resolved without a ticket queue
Alert storm

Hundreds of alerts, one incident

Correlation turns noise into a single actionable incident.

CorrelationDedupPriorityRunbook
THE TRIGGER400 alerts fire after a network blip.
Alerts correlated to one root cause
Single incident created
Runbook suggested to engineer
Resolution logged
Engineers focus on the real issue
Capacity

Capacity problems predicted

Forecasts flag resources before they run out.

ForecastingScalingBudgetAlerts
THE TRIGGERStorage is growing faster than expected.
Trend detected in analytics
Forecast shows risk in 3 weeks
Scaling plan proposed
Change approved and applied
No outage, no emergency purchase
Onboarding

Onboarding fully automated

HR triggers the whole IT workflow.

HRISAccountsDevicesAccess
THE TRIGGERHR adds a new hire in the HR system.
Workflow triggered from HRIS
Accounts and licenses created
Device ordered and enrolled
Access assigned by role
Ready before day one
Architecture

An intelligent automation layer across IT

Event, AI analysis, automated action and learning loop, connected end to end.

Teams & SlackChannel
Monitoring & logsSignals
ITSM ticketsRequests
HRIS eventsTriggers
AI Operations
Layer
Analyze, act, learn
Atomicwork & ServiceNowAI service desk
DatabricksAnalytics
Runbooks & scriptsAutomation
Cloud & identityActions
Human approvalsAudit trailsLeast privilegeRollbackContinuous learning
How it works

A practical path to AI-first operations

Assess

Find the highest-value repetitive work.

Design

Choose platforms and define guardrails.

Automate

Build agents, workflows and runbooks.

Operate

Monitor results and handle exceptions.

Expand

Add use cases based on measured results.

Business impact

Less toil, faster service, smarter operations

Less manual work

Routine tasks run automatically.

Faster resolution

Requests resolved in minutes.

Fewer outages

Predictive insight prevents incidents.

Better experience

Employees get help where they work.

FAQ

Questions leaders ask us

Which AI platforms do you work with?

Atomicwork, ServiceNow including Moveworks, Databricks, Microsoft and major cloud AI services.

Will AI take actions without approval?

Only for low-risk, pre-approved actions. Sensitive actions always require human approval.

How is this different from the Enterprise Agentic AI solution?

This service focuses on IT operations automation. Enterprise Agentic AI extends agents across HR, Finance and the whole enterprise.

Do we need clean data first?

We assess and prepare your knowledge and data as part of the engagement.

How do you measure success?

Automated resolution rate, resolution time, alert noise and employee satisfaction.

Can you run it for us?

Yes. We operate and tune the automation as a managed service.

SA

Reviewed by Shree Amujala, Founder and CIO of Raise Networks. 30+ years of IT leadership, including leading IT through the Meru Networks IPO, and a CIO.com contributor. Last reviewed September 2026.

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One of the most promising companies founded and managed by Indians in the United States.