AI Teammates for Engineering Teams
Engineering velocity is blocked by toil — incident triage, ticket routing, documentation, and repetitive code reviews. SphereIQ AI Teammates eliminate the toil so your engineers focus on the work that matters.
What Engineering AI Teammates Handle
Deploy AI teammates that work alongside your engineers — handling the operational burden so your team focuses on building great products.
When an alert fires at 2am, an AI Teammate is already analyzing logs, correlating errors, and routing the incident to the right engineer with full context.
When an alert fires at 2am, an AI Teammate is already analyzing logs, correlating errors, and routing the incident to the right engineer with full context.
AI Teammates pre-screen pull requests against coding standards, flag security patterns, and summarize changes for reviewers — cutting review time by 40%.
AI Teammates pre-screen pull requests against coding standards, flag security patterns, and summarize changes for reviewers — cutting review time by 40%.
API docs, runbooks, and onboarding guides generated automatically from code, comments, and system behavior. Documentation that stays current without engineering hours.
API docs, runbooks, and onboarding guides generated automatically from code, comments, and system behavior. Documentation that stays current without engineering hours.
Inbound engineering tickets classified, prioritized, and routed to the right squad — with relevant context, prior tickets, and suggested resolution paths attached.
Inbound engineering tickets classified, prioritized, and routed to the right squad — with relevant context, prior tickets, and suggested resolution paths attached.
AI Teammates surface relevant runbooks, previous incident resolutions, and system documentation in real-time during incidents — eliminating the "I don't know where that's documented" problem.
AI Teammates surface relevant runbooks, previous incident resolutions, and system documentation in real-time during incidents — eliminating the "I don't know where that's documented" problem.
Why This Beats Traditional Approaches
A side-by-side look at what changes when AI handles the operational work.
Frequently Asked Questions
No. It handles the first 10–15 minutes of every incident automatically — correlating alerts, gathering context, and routing to the right engineer with a full briefing. Engineers still own the resolution; the AI eliminates the blind scramble.
SphereIQ integrates with PagerDuty, OpsGenie, Datadog, Splunk, New Relic, Jira, Linear, and GitHub via secure API connections. Setup typically takes 1–2 weeks with no code changes to your existing tools.
It escalates immediately with all available context — logs, related tickets, system topology, and suggested investigation paths. It never blocks resolution; it always hands off with more information than the engineer would have had otherwise.
Yes. The Documentation AI Teammate infers structure and behavior from code, comments, git history, and observed system behavior — generating initial documentation even for undocumented systems, then continuously updating it as code changes.
SphereIQ is SOC 2 Type II certified. Data is encrypted in transit and at rest with AES-256. Access controls are role-based, and no training is performed on customer code or data.
30-Day Engineering AI Pilot
Deploy one AI teammate on real production data. See measurable results before committing.
Fixed Scope
One AI teammate, one workflow, clear boundaries. No scope creep.
Fixed Price
Transparent pricing with no hidden fees or surprise overages.
Clear Success Metrics
Pre-defined KPIs with weekly dashboards so you see ROI from day one.