Continuous Learning Loop: AMS That Gets Smarter Every Month

{
  "id": "ams-022",
  "title": "Continuous Learning Loop: AMS That Gets Smarter Every Month",
  "hook": "If AMS knowledge doesn’t compound, you’re paying forever for the same lessons.",
  "idea": "Modern SAP AMS runs a closed learning loop: every incident, change, and idea feeds training, KB, automation, and decisions. Nothing is ‘just handled and forgotten’.",
  "learning_loop": [
    "Detect: incident/change/training signal appears",
    "Understand: classify, cluster, find pattern",
    "Decide: fix / automate / redesign / accept",
    "Encode: KB atom, runbook, standard change, training asset",
    "Verify: did the signal actually disappear?",
    "Retire: remove obsolete knowledge and rules"
  ],
  "sap_specific_inputs": {
    "from_operations": [
      "Incident timelines and RCAs",
      "Change failures and rollbacks",
      "Upgrade-related regressions",
      "Monitoring blind spots"
    ],
    "from_people": [
      "Questions repeatedly asked in chats",
      "Manual steps during recovery",
      "Confusion around ownership or process"
    ]
  },
  "encoding_rules": [
    "No RCA without a knowledge artifact.",
    "No standard change without a runbook entry.",
    "No training without a KB reference.",
    "No accepted debt without a review reminder."
  ],
  "learning_assets": {
    "short_term": [
      "Updated runbooks",
      "New KB atoms",
      "Automation rules and checks"
    ],
    "long_term": [
      "Refined decision bytes",
      "Better triage models",
      "Cleaner system boundaries"
    ]
  },
  "automation": {
    "copilot_moves": [
      "Detect when the same lesson appears again.",
      "Suggest which learning asset is missing.",
      "Track whether encoded knowledge is actually used.",
      "Flag dead knowledge that no longer matches reality."
    ],
    "outputs": [
      "Learning gap report",
      "Most reused knowledge assets",
      "Incidents with no learning outcome (anti-pattern)"
    ]
  },
  "why_this_is_powerful": [
    "AMS cost trends down naturally over time.",
    "New people ramp up faster.",
    "AI assistance improves instead of hallucinating."
  ],
  "anti_patterns_to_kill": [
    "‘We already fixed this once’",
    "RCAs that don’t change anything",
    "Training that never updates operations"
  ],
  "metrics_that_show_compounding": [
    "Mean time to diagnosis (trend)",
    "Repeat incident half-life",
    "Knowledge reuse rate",
    "Automation hit rate"
  ],
  "design_question": [
    "What did we learn this month that makes next month cheaper?"
  ],
  "meta": {
    "schema": "dkharlanau.dataset.byte",
    "schema_version": "1.1",
    "dataset": "ams",
    "source_project": "cv-ai",
    "source_path": "ams/ams-022.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-022.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": "If AMS knowledge doesn’t compound, you’re paying forever for the same lessons."
  }
}