Resolve incidents faster with automation, guardrails, and full auditability. From initial alert to final resolution, our AI agent handles the entire incident lifecycle.
A complete journey from incident detection to resolution
An alert fires (PagerDuty / Opsgenie / Slack). The agent opens or joins the incident channel and starts triage.
Queries runbooks, knowledge base, service docs, and past incidents for alert-specific guidance. If a match exists β builds a plan anchored on that runbook.
If no relevant documentation exists β composes a best-practices remediation plan for the stack (e.g., Kubernetes / AWS / Linux). Includes pre-checks, post-checks, and rollback steps.
Runs non-destructive, read-only checks (e.g., kubectl get/events/logs, metrics, traces, config diffs). Confirms or rejects hypotheses.
For high-severity incidents or risky commands, the agent posts an Approval Card in Slack with proposed steps, expected impact, and rollback path.
Executes commands within policy or after approval. Runs in a least-privilege sandbox, one step at a time, with rate limits and circuit breakers.
Parses command output and telemetry. Adapts the plan in real-time. Halts or rolls back if checks fail.
Runs post-checks to confirm recovery (SLOs / health). Attaches the full transcript to the incident thread and audit log.
Saves alerts history. Updates or drafts a runbook for future incidents. Links artifacts and improves future playbooks.
Flexible automation with human oversight
Auto-resolves well-understood incidents within defined risk thresholds. Always posts status to Slack. Prompts for approval when a step exceeds risk policy.
Never runs destructive commands. Continues gathering diagnostics. Posts a Findings & Suggested Fix card in Slack for engineers to one-click approve/execute.
Severity-based approvers. Timed approvals with fallback to Assist if denied or expired.
Dedicated view shows every command, output, diff, and the agent's reasoning. All exportable to SIEM.
Transform how your developers ship features, debug systems, and scale technical capabilities with AI-powered development.
Collapse noisy alerts into a single incident with cause candidates.
Maps symptoms to likely changes (commits, deploys, config drift).
From safe suggestions to 1-click or fully automated fixes.
Turns shell/K8s/Cloud commands into reusable, parameterized actions.
Correlates incidents with code, infra, and release notes.
Services β dependencies β owners β dashboards β runbooks β incidents.
Approval gates, dry-runs, real-time explainability.
Every prompt, plan, command, output, and diff is logged and searchable.
Connect with your existing tools and workflows
If your tool isn't listed, our SDK and Webhooks make it simple to add.
Built with security and compliance at the core, trusted by Fortune 1000 companies worldwide.
Independently audited and certified for security, availability, and confidentiality controls.
We ensure your code data is never stored by model providers or used for training, giving you complete control over your intellectual property.
Full control over authentication and user provisioning with SAML SSO, SCIM, and RBAC. Centrally manage model access and Agent execution.
Choose the deployment model that fits your needs
Multi-tenant SaaS with private data plane connectors.
Single-tenant in your VPC (AWS / GCP / Azure).
Join engineering teams who trust RESILANT.AI Company to keep their systems reliable 24/7.