Tool 08 · Scoping

RICEFW Classifier

Upload a requirements or design document, or describe custom developments. A²AI classifies each into RICEFW types (Report, Interface, Conversion, Enhancement, Form, Workflow) with complexity tier, effort range, technical approach, and example code patterns.

AI Model
XGBoost + Rules Engine
94.7%
Classification Acc
6
RICEFW Types
8,000+
Training Objects
Upload requirements or design document
PDF · DOCX · XLSX · TXT — or describe custom developments below

Live Demo

Classify RICEFW Objects

The XGBoost classifier identifies 35+ linguistic and structural features to classify each custom development. A 200-rule deterministic engine validates outputs for known SAP patterns. Click any row to see technical approach and code patterns.

Upload document or describe custom objects

AI Architecture

XGBoost + Rules Engine — 94.7% Classification Accuracy

6-class XGBoost trained on 8,000+ labelled SAP RICEFW objects, validated by a 200-rule deterministic engine for known SAP patterns.

XGBoost Classifier
35+ features extracted from each custom development description: action verbs, SAP object references, data direction, trigger type, output format indicators. 6-class model trained on 8,000+ labelled objects achieves 94.7% accuracy.
200-Rule Validator
Deterministic rules override XGBoost for unambiguous cases — e.g. any mention of "BAdI", "user exit", or "enhancement spot" always classifies as Enhancement (E). Rules cover 80+ specific SAP technical patterns for guaranteed accuracy on common object types.
Code Pattern Library
Each RICEFW type maps to a curated library of SAP ABAP code patterns, BAdI definitions, function module templates, and ALV grid configurations — giving consultants a technical head start from day one of the project.