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AMIS

Advanced Machine Intelligence Systems.
Explanation-first agentic reasoning for complex operations.

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© 2026 AMIS Intelligence Inc. All rights reserved.

Systems Operational
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    Solution

    AIOps System Intelligence

    AMIS connects logs, metrics, traces, and change events into an auditable incident narrative so teams can diagnose faster and remediate with confidence.

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    Core capabilities

    • Telemetry correlation across logs, metrics, traces, and deploys.
    • Live incident narratives with confidence and impact scoring.
    • Change-risk analysis tied to service ownership and runbooks.
    • Guided remediation with human approval gates and audit trails.

    The Problem

    Modern systems generate oceans of telemetry, but operators still stitch together context by hand. Alert storms, fragmented tooling, and brittle automation lead to longer outages and repeated incidents.

    Alert floods hide the real causal chain during critical incidents.
    Tooling struggles to connect releases, config changes, and runtime impact.
    Runbooks are static and rarely match the live system state.
    Post-incident reviews lack a complete decision and action trail.

    AMIS Approach

    Inputs -> Intelligence -> Decisions -> Actions, delivered as a closed-loop system.

    1

    Inputs

    Stream logs, metrics, traces, deploy events, tickets, and topology into a unified timeline.

    2

    Intelligence

    Detect anomalies, correlate signals, and generate a ranked causal narrative.

    3

    Decisions

    Score impact and risk, propose remediation, and route approvals to owners.

    4

    Actions

    Trigger runbooks, open tickets, update status pages, and capture every decision.

    What You Get

    Outputs that reduce MTTR and improve system reliability.

    Incident narratives and RCA

    A structured account of what happened, why, and how to resolve it.

    • Causal chain with evidence from telemetry and change events.
    • Confidence scores for hypotheses and recommended fixes.
    • Shareable incident briefs for executives and stakeholders.
    Guardrailed remediation

    Runbooks that are safe to execute and easy to audit.

    • Approval checkpoints for high-risk actions.
    • Rollback and verification steps built into workflows.
    • Automated status updates for cross-team coordination.
    Change and reliability insights

    Understand how releases impact system health over time.

    • Release risk scoring based on historical incident patterns.
    • Service ownership views for accountability.
    • SLO impact tracking across teams and systems.

    Use Cases

    Common operational scenarios where AMIS accelerates response.

    Latency regression triage
    Correlate spikes with recent releases and pinpoint the responsible service.
    Kubernetes instability
    Detect cluster saturation, surface root causes, and guide safe remediation.
    Cost anomaly detection
    Identify noisy workloads driving spend and recommend optimization steps.
    Release validation
    Monitor canary deploys, enforce guardrails, and confirm rollout safety.
    SLO risk alerts
    Predict error budget burn and prompt action before customer impact.

    Deployment & Integration

    AMIS connects to your observability stack and incident tooling with minimal disruption. Deploy as SaaS, in a private VPC, or within regulated environments.

    Telemetry connectors
    Integrate with OpenTelemetry, Datadog, Prometheus, ELK, and cloud logs.
    Incident workflows
    Plug into PagerDuty, Opsgenie, Jira, ServiceNow, Slack, and Teams.
    Security and compliance
    Support for RBAC, audit logs, and data residency constraints.

    Move from alert noise to system intelligence

    Let AMIS coordinate your telemetry and incident response with clear accountability.

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