RAG Contract Intelligence Blueprint

A grounded architecture for contract and policy retrieval with citations, access control and no-answer controls.

Architecture Overview

A grounded architecture for contract and policy retrieval with citations, access control and no-answer controls. Use this blueprint as a starting point for architecture discovery, PoC design and implementation planning. It is intentionally logical rather than tied to one customer landscape.

EXPERIENCEFiori · Joule · Analytics

APPLICATIONS/4HANA · Ariba · CAP

INTEGRATIONAPIs · Events · Integration Suite

AIAI Core · GenAI Hub · RAG · Agents

DATADatasphere · HANA Cloud · Vector Search

KNOWLEDGEDocuments · Policies · Enterprise Context

FOUNDATIONIdentity · Security · Monitoring

GOVERNANCEGrounding · Audit · Human Control

CLEAN COREExtensions · APIs · Upgrade Safety

Design Principles

Start from a measurable business process and decision.
Keep enterprise data governed and traceable.
Use RAG when answers need controlled enterprise knowledge.
Separate AI recommendation from business transaction execution.
Design for identity, authorization, monitoring and auditability.
Prefer clean-core extension patterns and standard APIs.

Architecture Questions

Where is the system of record?
What data must be real time versus batch?
Which AI pattern is appropriate?
What needs grounding and citations?
Where is human approval required?
How will the solution be monitored and operated?

Implementation View

01 · Discover

Define process, users, decisions, data and measurable outcomes.

02 · Prototype

Validate the AI pattern and integration path with representative data.

03 · Harden

Add security, observability, evaluation, governance and exception handling.

04 · Operate

Define deployment, model lifecycle, support and continuous improvement.

✉ Need architectural guidance?

For more details, architectural guidance or to discuss your specific requirement, please contact hello@procurearc.in