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CENTRE BRIEFING SAP Fit-to-Standard AI Agent Delivering Per-Object Analysis in Under 2 Hours |
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From Manual Workshops to Instant Intelligence · From Tribal Knowledge to System Truth · From Weeks of Discovery to Minutes of Precision |
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2 hrs Per-object analysis completed |
85% Average fit score achieved |
Zero Workshops needed for discovery |
10x Faster than manual assessment |
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EXECUTIVE SUMMARY The SAP Fit-to-Standard AI Agent is the first system that delivers complete, per-object migration intelligence in under 2 hours — without a single workshop, without reliance on long-tenured individuals, and without manual comparison to SAP standard documentation. This briefing explains precisely how that is achieved: the architecture, the reasoning process, the output structure, and the program value it unlocks at scale. |
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The Hidden Cost Nobody Plans For Before a single migration decision is made, enterprises invest 3–6 weeks per object simply understanding what they already have. For a landscape of 200 custom objects, that is 600 weeks — 11.5 years — of analysis effort. This pre-work is invisible in project plans, unbudgeted in proposals, and consistently underestimated by program leadership. |
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MANUAL ANALYSIS Traditional Approach |
AI AGENT ANALYSIS Fit-to-Standard Intelligence |
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3–6 weeks per object for discovery workshops |
Under 2 hours — complete per-object analysis delivered |
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Dependency on long-tenured ABAP developers |
Zero dependency — system reads execution logic directly |
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Inconsistent interpretations across teams |
Single, system-derived baseline — no reconciliation needed |
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Manual SAP standard documentation comparison |
AI-mapped against SAP's full capability library automatically |
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Risk of missing edge cases and exception paths |
100% execution path coverage — nothing inferred or assumed |
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Analysis restarts for every project wave |
Reusable intelligence asset — one analysis, unlimited reuse |
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Typical cost: 15–25 consultant days per object |
Cost equivalent: automated processing, minutes of compute |
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System Intelligence Reads real execution logic from live ABAP code, includes, classes, and authorization objects — not documentation or developer memory |
Standard Mapping Automatically maps every identified capability against SAP's standard library for the target release — S/4HANA, BTP, Fiori, and APIs included |
Decision-Grade Output Produces confidence-scored recommendations, effort classifications, and migration roadmaps ready for program governance decisions |
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Core Design Conviction System behavior is the only reliable source of truth. Any analysis built on human recollection, documentation artifacts, or manual comparison introduces uncertainty proportional to how long the system has been running. The Fit-to-Standard AI Agent eliminates that uncertainty at the source — by reading what the system actually does, not what anyone remembers it doing. |
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01 |
System Connection & Context Initialization Minutes 1–10 — Establish scope, environment, and analysis boundaries ▸ Establishes secure, read-only connection to the SAP system landscape ▸ Identifies the object class, type, technical boundaries, and namespace of the target custom capability ▸ Loads system configuration context: parameters, transport history, release version ▸ Initializes the SAP Standard Capability Library for the relevant module and release — S/4HANA, ECC, BTP ▸ Validates scope and confirms analysis boundaries before any code processing begins |
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02 |
Deep Code & Logic Extraction Minutes 10–35 — What the object actually does, not what it was designed to do ▸ Extracts ABAP source code, includes, function modules, class definitions, and method implementations ▸ Parses all internal subroutine calls, modularization patterns, and event handling structures ▸ Identifies complete data flow: input parameters, internal processing logic, and output structures ▸ Detects all conditional branches, exception paths, and edge-case handling built up over years ▸ Captures BAdI implementations, user exits, and enhancement spots layered over the original code ▸ Records all database interactions: table reads, writes, updates, lock objects, and buffering patterns |
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Dependency Graph Construction Minutes 35–60 — The full operational footprint, visible and invisible ▸ Maps all called function modules, remote function calls (RFCs), and web service invocations ▸ Identifies authorization object dependencies, permission check patterns, and role consumption ▸ Traces integration touchpoints: IDocs, BAPIs, ALE channels, message queues, and middleware connections ▸ Surfaces background job dependencies, scheduling configurations, and variant parameters ▸ Detects cross-client and cross-system dependencies that activate only under specific operational conditions ▸ Constructs a complete dependency graph — the object's true operational footprint, not its assumed one |
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Semantic Behavior Analysis Minutes 60–80 — Business intent extracted from technical execution ▸ Applies natural language AI reasoning to translate technical logic into business behavior descriptions ▸ Identifies the business process each code block supports — queue monitoring, approval routing, error handling, integration control ▸ Classifies capabilities by functional category: visibility, control, reporting, integration, and governance ▸ Detects redundancies, deprecated patterns, and logic no longer serving an active business purpose ▸ Produces a structured capability inventory — a complete behavioral map of the custom object ▸ Generates business-readable descriptions aligned to three audience layers: business, functional, and technical |
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SAP Standard Mapping & Gap Analysis Minutes 80–100 — Where fit is determined with confidence scoring ▸ Maps each identified capability against SAP's Standard Capability Library for the target release ▸ Classifies each capability: Fully Covered, Config Gap, Development Gap, or Unreplaceable ▸ Calculates a weighted Fit Score with confidence intervals based on execution coverage depth ▸ Identifies specific SAP transactions, Fiori apps, APIs, and configuration parameters that provide equivalent functionality ▸ Surfaces gaps with precision: what is missing, why it matters, and exactly how it can be addressed ▸ Cross-references Clean Core compliance requirements for each capability classification |
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Recommendation Synthesis & Output Generation Minutes 100–120 — Decision-ready output, structured and actionable ▸ Generates strategic migration recommendation: Retain, Replace, Reconfigure, or Retire — with justification ▸ Produces a prioritized remediation roadmap with effort estimates and risk classifications per gap ▸ Defines a precise data migration strategy: what moves, what stays, what transforms, what is redundant ▸ Designs a validation framework anchored in real execution scenarios — not hypothetical test cases ▸ Provides authorization alignment recommendations mapped to SAP standard role constructs ▸ Packages the complete output as a structured, versioned, reusable migration intelligence asset |
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Layer |
Intelligence Produced |
Time (Manual) |
Time (AI Agent) |
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Structural |
Complete dependency graph: modules, tables, auth objects, integrations, job dependencies |
5–10 days |
< 45 min |
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Behavioral |
Semantic capability map translating code logic into business function descriptions per block |
3–7 days |
< 20 min |
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Comparative |
Gap analysis with fit scores across Full Coverage, Config, Dev, and Unreplaceable classifications |
5–15 days |
< 25 min |
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Strategic |
Migration recommendation with cost-benefit, risk profile, and Clean Core alignment score |
2–5 days |
< 15 min |
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Operational |
Validation framework, data migration playbook, cutover plan, rollback strategy |
3–8 days |
< 15 min |
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3–6 wks Manual: Per Object Discovery through recommendation |
< 2 hrs AI Agent: Per Object Full intelligence cycle |
95% Time Reduction vs. traditional approach |
Reusable Intelligence Asset Valid across all program waves |
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Classification |
Coverage Type |
Recommended Action |
What It Means for Your Program |
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Full Coverage |
100% standard capability match — no functional gap exists |
Adopt directly — zero development required |
Zero remediation cost. Migrate with configuration only. Maximum value. |
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Config Gap |
Standard equivalent exists; parameter tuning or activation required |
Configure and enable — functional consultant only |
Low cost. No developer required. Delivers in days, not weeks. |
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Dev Gap |
Partial standard match; targeted enhancement scoped and bounded |
Minimal development with defined boundaries |
Known effort, manageable risk. Scope is explicit — not open-ended. |
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Unreplaceable |
No standard equivalent — genuinely unique business logic |
Retain as governed custom — BTP side-car recommended |
Preserve with governance, document rigorously, monitor actively. |
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What 85%+ Fit Score Means for Your Program An 85% or higher fit score means the vast majority of custom capability can be retired in favor of SAP standard — eliminating technical debt, reducing maintenance overhead, and removing upgrade risk immediately. Remediation effort is contained to a known, classified, and bounded set of gaps. The program starts with structural confidence, not structural uncertainty. |
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What Traditional Analysis Produces ✗ Inconsistent Word documents per consultant ✗ Business logic reconstructed from memory ✗ Gap lists without prioritization or effort ✗ Test cases designed from assumptions ✗ Migration scope driven by guesswork ✗ Authorization recommendations not evidence-based |
What the AI Agent Delivers ✓ Structured, versioned report — same format every time ✓ Capability inventory derived from live execution logic ✓ Classified gap matrix with effort, risk, and action ✓ Validation framework anchored in real execution scenarios ✓ Data migration strategy: migrate less, migrate right ✓ Authorization map derived from actual permission checks |
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Executive Summary Program-level overview of fit score, recommendation, and strategic value for leadership audiences |
Capability Inventory Complete behavioral map of the custom object — every function described in business language |
Dependency Map Full structural graph: all modules, tables, authorizations, integrations, and job dependencies |
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Gap Classification Matrix Every capability classified — Full, Config, Dev, Unreplaceable — with confidence weighting |
Standard Alternative Mapping SAP transactions, Fiori apps, APIs, and config options that provide equivalent coverage |
Configuration Recommendations Specific activation and parameter guidance for every capability addressable through configuration |
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Authorization Alignment Custom permission logic mapped to SAP standard roles — governance continuity preserved |
Data Migration Strategy Precise scope: what to move, what to leave, what to transform — no unnecessary data handling |
Validation Framework High-impact test scenarios derived from real execution paths — not assumption-based test scripts |
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Migration Recommendation Replace, Retain, Reconfigure, or Retire — with justification, effort estimate, and risk profile |
Rollback Strategy Continuity safeguards designed before go-live — enabling decisive program commitment |
Migration Roadmap Time-bound execution plan with phased milestones, ownership, and success measures |
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What Clean Core Demands |
How the Agent Delivers It |
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No modifications to SAP standard objects |
Agent identifies all standard object modifications and quantifies remediation effort to eliminate them |
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Extensibility through released APIs only |
Maps all RFC, BAPI, and interface usage to released API equivalents available in the target release |
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Side-car architecture for unique logic |
Unreplaceable capabilities are classified and scoped for BTP-based side-car implementation |
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Authorization aligned to standard roles |
Maps all custom authorization to standard role constructs and identifies consolidation opportunities |
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Upgrade-stable configuration only |
Configuration recommendations validated against SAP's upgrade compatibility guidelines |
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95% Time Reduction Per-object analysis: 6 weeks → 2 hours |
4.4 yrs Time Saved Across 600 objects vs. manual |
Zero Re-Discovery Reusable across all migration waves |
76% Effort Reduction In remediation scoping and planning |
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Where Programs Lose Time & Budget ✗ Repeated discovery workshops per migration wave ✗ Consultant days spent reconstructing known logic ✗ Over-engineering gaps that standard already covers ✗ Late discovery of critical dependencies at go-live ✗ Regression testing designed from wrong assumptions ✗ Authorization re-work triggered by migration surprises |
Where the AI Agent Returns It ✓ One analysis — reused across every wave of the program ✓ Redirects consultant time to design and decision-making ✓ Precise scoping — invest development effort where standard cannot reach ✓ Complete dependency visibility before change begins ✓ Validation framework built from real execution scenarios ✓ Authorization alignment mapped before migration starts |
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Layer |
Intelligence Produced |
Time (Manual) |
Time (AI Agent) |
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Landscape Assessment |
Custom object inventory with preliminary fit scores replacing manual workshops |
8–12 weeks |
3–5 days |
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Fit-Gap Workshops |
Pre-analyzed capability maps shift workshops from discovery to decision-making |
2–4 weeks |
2–3 days |
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Remediation Planning |
Precise development scope with effort classifications eliminates estimation uncertainty |
3–6 weeks |
Included in output |
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Architecture Design |
Integration dependencies and auth patterns inform architecture with validated data |
2–4 weeks |
Included in output |
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Cutover Planning |
Data migration scope, validation framework, rollback — all system-derived |
3–5 weeks |
Included in output |
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Hypercare |
Behavioral baseline enables confident post-go-live incident diagnosis |
Ongoing |
Reference asset |
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Compounding Returns Across Migration Waves The strategic advantage of the Fit-to-Standard AI Agent compounds over time. Each analysis produces a reusable intelligence asset — a structured, versioned baseline that eliminates re-discovery for subsequent migration waves. Programs applying the agent across their full landscape report sustained acceleration from wave one through go-live, with each wave moving faster than the last because the intelligence foundation is already in place. |
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Stakeholder |
What the Agent Delivers for Them |
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Transformation Leaders & Program Sponsors |
Decision-grade intelligence eliminating estimation uncertainty — compresses scoping from months to days |
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Migration Architects & Solution Designers |
System-verified dependency map ensuring every architectural decision is execution-validated |
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Business Process Owners |
Assurance that capabilities they depend on are fully understood, mapped, and protected |
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Functional Consultants |
Pre-analyzed capability maps enabling workshops to focus on design, not discovery |
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ABAP Developers |
Precise, bounded remediation scope — develop only what standard cannot reach |
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Security & Authorization Teams |
Authorization alignment map converting custom permission logic to standard role constructs |
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Audit & Compliance Stakeholders |
Evidence-based governance trail — every decision grounded in system truth, not interpretation |
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The Fit-to-Standard AI Agent delivers complete per-object migration intelligence in under 2 hours. Not through assumptions. Not through workshops. Not through interpretation. Through system truth. This is how enterprises move from caution to controlled confidence — at the speed transformation programs demand. |