Dataset entry
Decision Support Factory: Making Reliable Estimates for Business Choices
The fastest way to become a trusted AMS provider is to stop answering with opinions — and start delivering decision packs that survive scrutiny.
Attribution
Creator: Dzmitryi Kharlanau (SAP Lead).
Canonical: https://dkharlanau.github.io/datasets/ams/ams-047.json
JSON (copy / reuse)
{
"id": "ams-047",
"title": "Decision Support Factory: Making Reliable Estimates for Business Choices",
"hook": "The fastest way to become a trusted AMS provider is to stop answering with opinions — and start delivering decision packs that survive scrutiny.",
"idea": "Modern SAP AMS runs a small ‘decision support factory’: consistent templates, comparable options, transparent assumptions, and post-decision learning. This turns AMS into a reliable advisor across stakeholders and vendors.",
"what_business_needs_from_ams": [
"Options, not surprises",
"Cost, risk, and time-to-value in the same language every time",
"Clear recommendation and when-not-to-do-it",
"A way to compare requests across domains fairly"
],
"decision_pack_types": {
"quick_pack": {
"when": "Small scope or urgent decision",
"output_time": "same day",
"contains": [
"Problem statement",
"2–3 options including do-nothing",
"Impact/risk estimate bands",
"Recommendation + caveat"
]
},
"standard_pack": {
"when": "Meaningful change or cross-team impact",
"output_time": "within 3–10 working days",
"contains": [
"Option comparison",
"Operational impact on AMS",
"Verification plan",
"Dependencies and ownership"
]
},
"investment_pack": {
"when": "Automation, redesign, or prevention initiative",
"output_time": "2–6 weeks",
"contains": [
"ROI model (cost avoided)",
"Phased delivery plan",
"Lock-in delta",
"Risk controls + rollback"
]
}
},
"estimation_language": {
"bands_not_false_precision": [
"Impact: low/medium/high + what that means",
"Risk: low/medium/high + failure modes",
"Effort: XS/S/M/L/XL + why",
"Coordination: solo/few/many + boundaries crossed"
],
"rule": "If uncertainty is high, widen the band and list the missing facts."
},
"option_comparison_fields": [
"Outcome (what improves)",
"Who benefits and who is affected",
"Time-to-value",
"One-off cost (delivery)",
"Run cost delta (support burden up/down)",
"Risk and reversibility",
"Dependencies (vendors, systems, data)",
"Verification and success signals",
"Lock-in delta (more SAP-core vs more open edge)"
],
"prioritization_for_decisions": {
"scoring_inputs": [
"Business flow criticality (SLO impact)",
"Cost of delay",
"Repeat load reduction potential",
"Change-induced risk",
"Strategic fit (upgrade safety, lock-in reduction)"
],
"decision_rule": "If it reduces top demand drivers, it gets priority unless risk is extreme."
},
"how_to_stay_reliable_everywhere": {
"behavioral_rules": [
"Always include ‘do nothing’ as a baseline option",
"Always declare assumptions explicitly",
"Always propose verification signals up front",
"Never promise what you cannot measure",
"Track outcomes and admit misses early"
],
"stakeholder_translation": [
"CFO: cost-to-serve, cost avoided, predictability",
"CIO: stability, governance, vendor alignment",
"Business: flow availability, workarounds, timelines",
"Vendors: boundaries, evidence, clear asks"
]
},
"multi_vendor_decision_integrity": {
"rules": [
"All options must declare which vendor surface is touched",
"Dependency time separated from execution time",
"No vendor narratives; only evidence-backed constraints",
"Arbitration uses shared SLOs and contracts"
]
},
"post_decision_learning": {
"why": "Trust compounds when decisions improve over time.",
"loop": [
"Record decision pack and chosen option",
"Measure actual outcome vs expected",
"Update estimation heuristics and KB atoms",
"Publish a short ‘what we learned’ note"
]
},
"automation": {
"copilot_moves": [
"Draft decision packs from intake + historical data.",
"Suggest comparable past decisions and outcomes.",
"Estimate run cost delta from incident families impacted.",
"Generate stakeholder-specific summaries (business/CIO/CFO)."
],
"outputs": [
"Decision pack draft + option table",
"Assumption checklist",
"Outcome tracking entry"
]
},
"metrics_that_show_trustworthiness": [
"Decision packs delivered per month",
"Outcome accuracy (expected vs actual bands)",
"Post-decision regret rate",
"Stakeholder re-use of templates (standardization)",
"Reduction in ad-hoc ‘quick asks’ (because the process is trusted)"
],
"design_question": [
"If a CFO challenged our recommendation tomorrow, could we defend it with assumptions, evidence, and measured outcomes?"
],
"meta": {
"schema": "dkharlanau.dataset.byte",
"schema_version": "1.1",
"dataset": "ams",
"source_project": "cv-ai",
"source_path": "ams/ams-047.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-047.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": "The fastest way to become a trusted AMS provider is to stop answering with opinions — and start delivering decision packs that survive scrutiny."
}
}