ERP AI Sidecar with Simulation Twin (EAST)
9/10
Demand Score
Leadership demand for AI outcomes is immediate, but direct ERP automation is risky without guardrails and data alignment.
8/10
Blue Ocean
Competition Level
$4k-20k
Price/Month
Predicted customer spend
12 days
Time to MVP
Difficulty: Expert
The Problem
Reliance on third-party apps:
Competitor Landscape
- SAP Joule
- Microsoft Copilot for Dynamics
- Oracle Fusion AI
- C3.ai
- Databricks Lakehouse AI
- Cohere/Anthropic/OpenAI orchestration platforms
Must-Have Features for MVP
Connectors for SLT/IDoc/OData/GoldenGate/Dataverse
Semantic layer with row/column-level security and masking
Vector+temporal store for RAG on ERP entities
Guardrailed task agents with policy-as-code and approvals
Simulation twin to rehearse postings and detect constraint violations
Prebuilt AI skills for common ERP pain points
Audit logging with replayable decision traces
Cost controls: prompt caching, small model routing, batch inference
⚠️ Potential Challenges
- Low-latency CDC from proprietary ERP stores
- PII/financial data governance and masking
- Agent action safety and human-in-the-loop UX
- Change management for AI-assisted workflows
Risk Level: High
🎯 Keys to Success
- Measured cycle-time reduction on target workflows (30–60%)
- Zero P1 incidents from AI actions due to twin guardrails
- User trust via transparent reasoning and approvals
- Operational cost savings from right-sized inference and caching
Ready to Build This?
This expert-difficulty project could be your next micro-SaaS success.