This article originated from a conversation with Claude about the future of Enterprise Resource Planning systems.
The ERP Landscape
Enterprise Resource Planning systems are integrated software platforms that organizations use to manage and automate core business processes including finance, HR, supply chain, manufacturing, and customer relationships.
SAP — The largest ERP provider globally, dominant in large enterprises
Oracle — Strong in financials and cloud ERP (Oracle Fusion, NetSuite)
Microsoft Dynamics 365 — Popular in mid-market, integrates with Microsoft ecosystem
Workday — Leading in HR and financial management, cloud-native
Infor — Industry-specific solutions for manufacturing, healthcare, hospitality
The Strategic Question
Just as H-LLM queries 8 LLMs simultaneously, can we aggregate core business processes—finance, HR, supply chain, manufacturing, and customer relationships—into the ERP of tomorrow?
The parallel is striking: applying multi-model verification architecture to the fragmented ERP landscape.
The Parallel Is Strong
| H-LLM Approach | ERP Aggregation Approach |
|---|---|
| Query 8 LLMs simultaneously | Query multiple best-of-breed systems |
| Detect hallucinations via consensus | Detect data inconsistencies across systems |
| H-Score for reliability | Unified trust/accuracy score for business data |
| Single interface, multiple models | Single interface, multiple ERPs |
The "ERP of Tomorrow" Thesis
Instead of forcing enterprises to rip-and-replace legacy systems, create an orchestration layer that:
- Aggregates data from Workday (HR) + NetSuite (finance) + Salesforce (CRM) + SAP (supply chain) + whatever else they're running
- Normalizes conflicting data formats and definitions
- Validates through cross-system verification—does the headcount in HR match payroll in finance?
- Surfaces discrepancies and "hallucinations" in business data
- Provides a unified command interface
Why This Could Work Now
- API maturity — Most modern ERPs expose robust APIs
- AI reasoning — LLMs can interpret and translate between systems
- Integration fatigue — Enterprises spend millions on Boomi, MuleSoft, Workato just to connect systems
Finance Consensus Layer MVP
A single pane that queries multiple financial systems simultaneously, detects discrepancies, and provides a reliability score—just like H-LLM does for AI responses.
Sample Output
Core Functions
- Cash Position Consensus — Pull cash balances from all connected systems, flag discrepancies
- AR/AP Reconciliation — Match receivables/payables across systems, surface mismatches
- Revenue Recognition Check — Compare recognized revenue across systems
- Vendor/Customer Master Sync — Detect duplicate or conflicting records
- F-Score — Reliability score for financial data integrity (like H-Score)
Target Customer Profile
- Post-acquisition companies — Inherited multiple financial systems
- Private equity portfolio companies — Roll-ups with disparate ERPs
- Growing companies — Outgrew QuickBooks, running parallel during migration
- Fractional CFOs / Accounting firms — Managing multiple client systems
The Bottom Line
The money is in bridging SAP FI ↔ Oracle GL ↔ Workday Financials ↔ NetSuite—enterprises running hybrid environments after acquisitions are drowning in reconciliation hell.
Brian Demsey saw it coming first. Long before the hype cycle peaked, he recognized that large language models would erode the market dominance of ERP software behemoths.