An agentic AI skills pack that orchestrates the discovery-to-roadmap arc of SAP S/4HANA implementation scoping — compressing 2-4 weeks of manual consulting effort into a structured, repeatable workflow.
The discovery and scoping phase of an SAP S/4HANA implementation is the most time-consuming, unstructured part of every engagement. Enterprise Architects and implementation consultants spend 2-4 weeks gathering client context, mapping requirements to modules, identifying integration dependencies, building roadmaps, and drafting proposals — often with inconsistent quality depending on individual consultant experience.
SAP has built an extensive AI ecosystem (2,400+ Joule skills, Joule for Consultants, Signavio, LeanIX, Cloud ALM). However, no native capability today chains the discovery-to-roadmap arc into a single agentic workflow. Each step exists as a capability in a different tool; the orchestration layer connecting them does not exist as a product. This skills pack fills that gap.
| SAP Capability | What It Does | What It Doesn't Do |
|---|---|---|
| Joule for Consultants (J4C) | Knowledge retrieval from 9+ TB SAP content | Workflow orchestration, multi-step scoping |
| SAP LeanIX | Application portfolio visibility, capability mapping | Autonomous landscape-to-roadmap generation |
| SAP Signavio | Process mining, BPMN modeling, best practices | Cross-tool scoping synthesis |
| SAP Cloud ALM | Project governance, requirement generation | Discovery-phase orchestration |
| Digital Discovery Assessment | Scope item recommendation | Full fit/gap + roadmap + proposal generation |
This skills pack is complementary to SAP's toolchain — its outputs feed into Cloud ALM, Signavio, and LeanIX rather than replacing them.
┌─────────────────────────────────────────────────────────────┐
│ Skills Pack Workflow │
│ │
│ ┌──────────────┐ ┌──────────────┐ ┌───────────────┐ │
│ │ 01 Client │───▶│ 02 Module │───▶│ 03 Roadmap │ │
│ │ Discovery │ │ Fit Analyzer │ │ Generator │ │
│ │ Intake │ │ │ │ │ │
│ └──────────────┘ └──────────────┘ └───────┬───────┘ │
│ │ │ │ │
│ │ │ │ │
│ ▼ ▼ ▼ │
│ ┌──────────────────────────────────────────────────────┐ │
│ │ 04 Executive Proposal Drafter │ │
│ └──────────────────────────────────────────────────────┘ │
│ │ │
│ ┌──────────────────────────────────────────────────────┐ │
│ │ 05 SAP Best Practices Fetcher (MCP Tool) │ │
│ │ Grounds all skills in SAP official guidance │ │
│ └──────────────────────────────────────────────────────┘ │
│ │
│ ─ ─ ─ ─ ─ ─ ─ ─ Future Integration ─ ─ ─ ─ ─ ─ ─ ─ ─ │
│ SAP Cloud ALM │ SAP Signavio │ SAP LeanIX │ A2A / MCP │
└─────────────────────────────────────────────────────────────┘
| # | Skill | Input | Output | SAP Activate Phase |
|---|---|---|---|---|
| 01 | Client Discovery Intake | Unstructured client info | Structured discovery brief | Discover |
| 02 | Module Fit Analyzer | Discovery brief | Fit/gap scoring, module map | Discover → Prepare |
| 03 | Implementation Roadmap | Module fit analysis | Phased plan with timelines | Prepare |
| 04 | Executive Proposal Drafter | Skills 1-3 outputs | Client-ready proposal | Prepare |
| 05 | SAP Best Practices Fetcher | Module/industry query | Best practices, patterns | Cross-cutting |
sap-s4hana-scoping-agent/
├── README.md
├── skills/
│ ├── 01-client-discovery-intake.md
│ ├── 02-module-fit-analyzer.md
│ ├── 03-implementation-roadmap.md
│ ├── 04-executive-proposal-drafter.md
│ └── 05-sap-best-practices-fetcher.md
├── tools/
│ ├── proposal-to-pdf.py # Convert proposals to McKinsey-grade PDF
│ ├── proposal-style.css # Professional consulting stylesheet
│ └── README.md
├── benchmarks/
│ ├── scenario-a-agribusiness/
│ └── scenario-b-high-tech/
├── docs/
│ └── tutorial.md
└── examples/
- Scenario A (Mid-market Agribusiness): Ugandan coffee export company, ~50 employees, fragmented tooling, multi-currency, export compliance
- Scenario B (High-tech Manufacturing): Satellite manufacturing, ~500+ users, complex BOM, multi-site, existing SAP landscape migration
- Start with Skill 01 — provide your client context (industry, size, pain points, current systems)
- Feed the structured discovery brief into Skill 02 for module fit analysis
- Pass the module analysis to Skill 03 for roadmap generation
- Synthesize everything with Skill 04 for an executive-ready proposal
- Convert the proposal to PDF:
python3 tools/proposal-to-pdf.py <skill-04-output.md> - Use Skill 05 at any point to ground recommendations in SAP best practices
Each skill can also be used independently for targeted analysis.
Graeme Tobias Ampeire — MSIS Candidate, UW Foster School of Business (2026) SAP-certified Enterprise Architect | 12+ years digital transformation across Africa, Europe, and the US
MSIS 549 — AI and Generative AI for Business Applications University of Washington, Foster School of Business Professor Léonard Boussioux | Winter Quarter 2026