Support Genie

Your L2/L3 tickets are costing you your best developers.

Stop the grind. Start resolving.

Support Genie automatically detects, investigates, and resolves complex support tickets, so your engineers ship features, not firefight incidents.

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Hours of work.
Minutes to resolve.

Your developers shouldn't be your support layer.

L2 and L3 tickets are expensive - not just in cost, but in the developer hours they consume every single day.

Comparison

Works with the stack you already run.

Genie plugs into your existing observability, incident management, and developer tools, no rip-and-replace.

The ROI isn't a guess. It's on your dashboard.

From invocation counts to cost per resolution, Support Genie makes the business case visible, so you can show leadership exactly what intelligent support is worth.

ROI Dashboard

Built for the complexity of real production environments.

Autonomous root cause analysis 

Apps keep work and information right at your fingertips, and Slack keeps it all securely.

Auto-resolution with human approval

Genie stages every fix and asks before applying. Full automation, with the control loop your team needs. 

Incident memory & pattern learning

Every resolved ticket improves future diagnostics. Genie builds institutional knowledge automatically. 

Deep system integration

Connects to your repos, runbooks, observability tools, and service configs - no new stack required. 

Real-time monitoring

Continuous watch across your environment. Issues detected and triaged before your team even sees them. 

Resolution analytics

Track resolution time, ticket volume trends, and CSAT impact - clear signal on where Genie is saving time and cost.

Operational Impact & Proof of Work 

How engineering teams are using Support Genie to eliminate L2/L3 backlogs, recover developer time, and drive measurable cost savings in production.

Case study

01

Case Study: Technology / SaaS

Clearing a 6-Week L2 Backlog in Just 4 Days with Support Genie.

By autonomously diagnosing and resolving recurring L2/L3 tickets, we eliminated a six-week backlog and recovered 40% of sprint capacity without developer overtime.

Case Study: Retail02

10× Ticket Resolution - Zero P1 Escalations.

A 300% surge in support tickets across 72 hours, handled autonomously with no additional headcount and zero customer-facing incidents.

Case Study: Healthcare03

Reduced Healthcare IT Resolution Time to 6 Minutes.

Autonomous resolution of authentication and data sync failures, with full HIPAA-compliant audit trails built into every fix.