Dataset entry

Handover & Transition at Scale: Zero-Drama AMS Transfers

ams ams_byte ams-030
Most AMS transitions fail quietly. Not on day one — three months later, when the same incidents return and nobody remembers why.

Attribution

Creator: Dzmitryi Kharlanau (SAP Lead).

Canonical: https://dkharlanau.github.io/datasets/ams/ams-030.json

LinkedIn

JSON (copy / reuse)
{
  "id": "ams-030",
  "title": "Handover & Transition at Scale: Zero-Drama AMS Transfers",
  "hook": "Most AMS transitions fail quietly. Not on day one — three months later, when the same incidents return and nobody remembers why.",
  "idea": "A strong AMS handover is not a document delivery. It is a controlled transfer of system understanding, risk ownership, and decision logic — validated in real operations.",
  "transition_scenarios": [
    "New AMS vendor onboarding",
    "Internal team replacement or split",
    "Merger / carve-out / country rollout",
    "From project mode to steady-state AMS",
    "From SAP-heavy to hybrid/open stack"
  ],
  "handover_layers": {
    "business_layer": [
      "Critical business flows and their SLOs",
      "What breaks revenue, cash, or compliance first",
      "Known seasonal and peak risks"
    ],
    "system_layer": [
      "SAP core boundaries (what must stay stable)",
      "Interfaces and external dependencies",
      "Custom code hotspots and no-go zones"
    ],
    "operational_layer": [
      "Incident patterns and first 30-minute actions",
      "Standard changes and fast lanes",
      "Emergency and rollback habits"
    ],
    "governance_layer": [
      "Who decides what under pressure",
      "Approval gates and escalation paths",
      "Vendor vs internal responsibility boundaries"
    ]
  },
  "transition_phases": {
    "prepare": [
      "Extract top 20 incident families with context",
      "Map critical flows to owners and runbooks",
      "Freeze non-essential change during transition window"
    ],
    "shadow": [
      "Incoming team shadows real incidents and changes",
      "Decision-making explained, not just execution",
      "Knowledge gaps logged explicitly"
    ],
    "reverse_shadow": [
      "Incoming team leads, outgoing shadows",
      "Live incidents used as validation",
      "Escalation rules enforced"
    ],
    "cutover": [
      "Single owner model activated",
      "Old access removed or time-boxed",
      "Clear go/no-go criteria based on signals"
    ],
    "stabilize": [
      "Track repeat incidents vs baseline",
      "Close gaps found during live ops",
      "Formalize accepted debt"
    ]
  },
  "handover_artifacts": [
    "Flow maps with failure annotations",
    "Top known errors + first checks",
    "Custom code ownership and risk list",
    "Interface contracts and monitoring signals",
    "Decision bytes for common trade-offs"
  ],
  "validation_rules": [
    "No handover is complete without surviving real incidents.",
    "If the new team cannot explain 'why', handover is incomplete.",
    "Every critical flow must have a named, confident owner."
  ],
  "automation": {
    "copilot_moves": [
      "Generate handover packs from historical incidents and boards.",
      "Track unanswered questions during shadowing.",
      "Detect post-transition regressions vs baseline."
    ],
    "outputs": [
      "Transition readiness score",
      "Knowledge gap list",
      "Post-cutover stability report"
    ]
  },
  "metrics_that_prove_success": [
    "Time-to-productivity for new team",
    "Post-transition repeat incident delta",
    "Escalation rate after cutover",
    "Incidents caused by 'unknown behavior'"
  ],
  "anti_patterns_to_kill": [
    "Big-bang handovers",
    "Document-only transitions",
    "Keeping old owners as silent safety nets"
  ],
  "design_question": [
    "Could the new team handle a P1 incident alone tomorrow?"
  ],
  "meta": {
    "schema": "dkharlanau.dataset.byte",
    "schema_version": "1.1",
    "dataset": "ams",
    "source_project": "cv-ai",
    "source_path": "ams/ams-030.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-030.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": "Most AMS transitions fail quietly. Not on day one — three months later, when the same incidents return and nobody remembers why."
  }
}