3AM Super Intelligence vs Kai Resolve by Gleap: Features, Pricing & Which Is Better (2026)
A side-by-side comparison of 3AM Super Intelligence and Kai Resolve by Gleap — features, pricing, and ideal use cases — to help you decide which AI tool fits your workflow.
3AM Super Intelligence
3AM Super Intelligence
AI on-call engineer that investigates production incidents on-prem, proves the root cause against live systems, and fixes it with one human approval.
Key features
- Evidence-Based Root Cause Analysis: Runs read-only checks on live systems and rules out hypotheses, so a fix is proposed only when the cause is proven.
- One-Tap Approval: Sends fixes for approval in Slack, Symphony, PagerDuty, phone or email, with every action dry-run first.
- Per-Service Autonomy Levels: Everything starts in shadow mode; raising a service's autonomy takes two approvers while lowering is instant.
- Tamper-Evident Audit Ledger: Logs every signal, check, approval and action in a hash-chained, signed ledger exportable to your SIEM.
- On-Prem Deployment: Runs inside your network with no inbound ports, suited to banks and other regulated environments.
- Broad Stack Integrations: Connects to Prometheus, Grafana, Datadog, PagerDuty, Jira, GitHub, GitLab, Bitbucket, Kubernetes, MySQL, PostgreSQL, Oracle, Slack, Symphony and Twilio.
- Runbook and Code Search: Searches runbooks and code scoped to the affected service to ground its investigation.
Best for
- Database Incident Resolution: Diagnose and fix issues such as a primary stuck in read-only mode on a core banking database.
- After-Hours On-Call Relief: Let the AI investigate overnight pages so engineers only approve a verified fix.
- Regulated Banking Operations: Meet audit requirements with a verifiable ledger of every incident action.
- Legacy System Operations: Operate systems that cannot be rewritten without adding invasive tooling.
- Incident Post-Mortems: Use the sealed event timeline as the record for review and compliance.
- Alert Noise Triage: Correlate alerts, metrics, logs and recent deploys to find the true cause faster.
Kai Resolve by Gleap
Gleap
Gleap's AI agent that investigates hard support tickets and bug reports, finds likely root causes and hands fixes to Kai Code.
Key features
- Ticket Investigation: Reads logs, console output and code to find the likely cause of a reported bug.
- Customer Updates: Replies in the shared inbox so the customer knows it is being checked.
- Handoff to Kai Code: Passes findings to a coding agent that prepares a pull request for review.
- Fix Verification: Confirms the fix is live before Kai replies to the customer.
- Shared Inbox Integration: Works inside Gleap's help desk next to live chat and workflows.
- Per-Resolution Pricing: Kai Support is billed at $0.29 per resolution on every plan.
Best for
- Bug Triage: Turning vague customer reports into diagnosed issues.
- Support-to-Engineering Handoff: Giving developers a root cause and a draft fix.
- Hard Ticket Handling: Offloading investigations that normal bots cannot answer.
- Customer Communication: Keeping customers updated from report to release.
- Startup Support: Running support with a small team using AI agents.