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
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."
}
}