AMS Operating System: How All Pieces Work as One

{
  "id": "ams-041",
  "title": "AMS Operating System: How All Pieces Work as One",
  "hook": "Modern SAP AMS fails when parts are optimized in isolation. It succeeds when everything is wired into a single operating system.",
  "idea": "This is not another framework. It’s a control system: signals → decisions → execution → learning → cost reduction. Every AMS practice exists only if it feeds this loop.",
  "core_loops": {
    "stability_loop": [
      "Signals detect deviation (errors, queues, SLO breach)",
      "Incident triage assigns owner and next action",
      "Mitigation restores flow",
      "Verification confirms recovery",
      "Learning feeds KB, runbooks, prevention"
    ],
    "change_loop": [
      "Intake with intent, scope, and verification",
      "Effort, risk, and coordination estimation",
      "Gated execution and testing",
      "Deployment with rollback readiness",
      "Acceptance based on evidence"
    ],
    "prevention_loop": [
      "Repeat detection and demand driver analysis",
      "Problem prioritization by load and impact",
      "Elimination via design, automation, or governance",
      "Verification of non-recurrence",
      "Capacity freed for higher-value work"
    ],
    "economics_loop": [
      "Cost-to-serve attribution",
      "Investment in elimination and automation",
      "Cost avoided tracked explicitly",
      "Budget rebalanced toward prevention"
    ]
  },
  "control_planes": {
    "signals_plane": [
      "Technical metrics (dumps, jobs, queues)",
      "Functional metrics (blocked flows, posting delays)",
      "Change metrics (regressions, rollbacks)",
      "Data metrics (replication lag, quality gates)"
    ],
    "decision_plane": [
      "Triage and ownership",
      "Risk and blast-radius assessment",
      "Prioritization across incidents, problems, changes",
      "Accept vs fix vs automate vs defer decisions"
    ],
    "execution_plane": [
      "Standard changes",
      "Controlled non-standard changes",
      "Incident mitigation",
      "Automation and scripts"
    ],
    "knowledge_plane": [
      "RAG-ready KB atoms",
      "Runbooks and decision bytes",
      "Historical timelines and RCAs"
    ]
  },
  "boards_as_controls": {
    "live_control": [
      "Operational board (now)",
      "Change board (near-term)",
      "Problem board (structural)"
    ],
    "management_control": [
      "Scorecards (stability, flow, cost, learning)",
      "Demand driver trends",
      "Capacity allocation (Run/Change/Improve/Reserve)"
    ]
  },
  "roles_and_boundaries": {
    "single_accountability": [
      "One owner per incident",
      "One owner per change",
      "One owner per problem"
    ],
    "clear_boundaries": [
      "SAP core vs edge",
      "Internal vs vendor",
      "Flow vs component ownership"
    ]
  },
  "automation_and_ai": {
    "where_ai_helps": [
      "Pattern detection and clustering",
      "Hypothesis generation",
      "Evidence assembly",
      "Knowledge retrieval (RAG)",
      "Drafting communication and artifacts"
    ],
    "where_ai_stops": [
      "Final decisions",
      "Production changes",
      "Risk acceptance"
    ]
  },
  "failure_modes_this_system_prevents": [
    "Hero-driven firefighting",
    "Backlog rot",
    "Change chaos near releases",
    "Vendor blame loops",
    "Invisible cost growth"
  ],
  "why_this_is_modern": [
    "Works with SAP legacy core and open edges.",
    "Scales across vendors and geographies.",
    "Gets cheaper and calmer over time."
  ],
  "anti_patterns_to_kill": [
    "Local optimizations",
    "Unconnected initiatives",
    "Tool-driven instead of signal-driven AMS"
  ],
  "final_test": [
    "If a new vendor joins tomorrow, can they plug into this system?",
    "If a senior expert leaves, does the system still work?",
    "If cost pressure doubles, do we know where to cut safely?"
  ],
  "design_question": [
    "Which part of this system is currently implicit — and therefore dangerous?"
  ],
  "meta": {
    "schema": "dkharlanau.dataset.byte",
    "schema_version": "1.1",
    "dataset": "ams",
    "source_project": "cv-ai",
    "source_path": "ams/ams-041.json",
    "generated_at_utc": "2026-02-03T14:33:32+00:00",
    "creator": {
      "name": "Dzmitryi Kharlanau",
      "role": "SAP Lead",
      "website": "https://dkharlanau.github.io",
      "linkedin": "https://www.linkedin.com/in/dkharlanau"
    },
    "attribution": {
      "attribution_required": true,
      "preferred_citation": "Dzmitryi Kharlanau (SAP Lead). Dataset bytes: https://dkharlanau.github.io"
    },
    "license": {
      "name": "",
      "spdx": "",
      "url": ""
    },
    "links": {
      "website": "https://dkharlanau.github.io",
      "linkedin": "https://www.linkedin.com/in/dkharlanau"
    },
    "contact": {
      "preferred": "linkedin",
      "linkedin": "https://www.linkedin.com/in/dkharlanau"
    },
    "canonical_url": "https://dkharlanau.github.io/datasets/ams/ams-041.json",
    "created_at_utc": "2026-02-03T14:33:32+00:00",
    "updated_at_utc": "2026-02-03T15:29:02+00:00",
    "provenance": {
      "source_type": "chat_export_extraction",
      "note": "Extracted and curated by Dzmitryi Kharlanau; enriched for attribution and crawler indexing."
    },
    "entity_type": "ams_byte",
    "entity_subtype": "",
    "summary": "Modern SAP AMS fails when parts are optimized in isolation. It succeeds when everything is wired into a single operating system."
  }
}