Flowtaris Conversational ERP lets every finance team member — from the AP clerk to the CFO — access, query, and act on ERP data in plain English. No training. No navigation. No waiting.
Enterprise ERP systems contain rich financial data but accessing it often requires significant training, navigating complex screens, and knowing technical field names. Flowtaris Conversational ERP is designed to provide a natural language interface to your ERP — enabling your team to query and act on data without opening the ERP UI.
Flowtaris connects to your ERP's data layer and builds a semantic index of your chart of accounts, vendor master, cost centers, and transaction history. Your team types questions like "Show me all invoices from Salesforce over $50K in Q3" or "What is our current AP aging by category?" and gets accurate results in seconds.
The system handles ambiguous queries by asking a clarifying question, never by guessing and returning wrong data.

Beyond queries, your team can execute approved actions through the conversational interface: approve an invoice, update a payment term, flag a vendor for review, or route an exception to a colleague — all without touching the ERP UI.
Every action is permissioned against your ERP role assignments and logged with the full context of the conversational request.

Flowtaris can be configured to generate and deliver recurring reports on a schedule — AP aging, cash position summary, outstanding approvals, top vendor spend — formatted for Slack, email, or PDF.
Ad-hoc report requests are fulfilled in under 4 minutes. Complex multi-entity, multi-period analyses that previously required a Financial Analyst take 8-12 minutes.

| Component | Technology |
|---|---|
| NL Understanding | Fine-tuned GPT-4o + RAG |
| Query Engine | Text-to-SQL + API Router |
| Action Layer | ERP API + Permission Proxy |
| Audit Trail | Immutable conversation log |
No rip-and-replace. No new modules. Flowtaris layers on top of your existing ERP investment.
See a live demo of Flowtaris answering real finance questions against a real ERP data set — in Slack, in real time.