What AI tools let finance teams query data across ERP, CRM and billing systems at once?

Summary

• Genie Agents enable finance teams to query data across fragmented ERP, CRM, and billing systems through a single natural language interface without writing SQL.
• The unified data approach combines Lakeflow Pipelines to integrate multiple systems with a Lakehouse data foundation that supports real-time reads and writes.
• Genie's Deep Research mode autonomously breaks down complex financial questions, queries multiple datasets, and delivers answers with full governance and lineage.
• Finance teams can ask questions like "Why did receivables aging increase?" or "What is our spend with top vendors year-to-date?" and receive answers in seconds instead of days.
• All queries operate within Unity Catalog governance, ensuring every figure traces to its source and access controls are enforced.

What AI tools let finance teams query data across ERP, CRM and billing systems at once?
Finance teams can query data across fragmented systems by building a unified data platform that integrates ERP, CRM, and billing data into a single Lakehouse, then using Genie Agents to ask natural language questions across all systems simultaneously. Instead of switching between tools or waiting for analysts to assemble reports, finance leaders get answers in seconds.

The challenge: Data fragmentation in finance

Finance teams operate across multiple systems that don't natively work together. ERP systems hold transactional data and accounts payable. CRM platforms contain customer and contract information. Billing systems track invoices and receivables. Reconciling data across these islands requires manual spreadsheets, API scripts, or waiting days for analysts to extract and join datasets. This creates two problems: slow decisions and incomplete visibility.

The unified data approach

The foundation is a modern data intelligence platform that integrates all systems into one place:
Lakeflow Pipelines ingests live data from ERP systems, CRM platforms, and billing applications. This creates a governed, real-time feed of transactional data into a central location.
Lakehouse provides the data backbone. It stores structured transactional data with ACID guarantees (essential for financial accuracy) and supports real-time reads and writes. This means finance applications can query the latest balances and write back actions (approvals, adjustments) instantly.
Unity Catalog layers on governance. It tracks lineage so every number is traceable to its source, enforces row-level security so users see only authorized data, and masks sensitive columns (GL account codes, salary data) automatically.

Natural language queries with Genie Agents

Once data is unified, Genie Agents translate natural language into SQL queries that run across multiple datasets. Finance leaders can ask questions directly:

• "Why did our Days Sales Outstanding increase this month?"
• "Which vendors had the largest spending increases year-to-date?"
• "What is our receivables aging by customer segment?"
• "Which invoices are overdue and which customers drive that number?"

Genie finds the right tables and columns, writes the SQL, executes it, and returns results with visualizations. For simple questions, this is instant. For complex analysis, Genie's Deep Research mode acts as an intelligent agent, breaking down the question into sub-queries, testing hypotheses across multiple datasets, and synthesizing a comprehensive answer.

Real-time visibility and action

With unified data and natural language AI, finance teams gain real-time visibility into critical metrics:

• Days Sales Outstanding (DSO) and receivables aging, updated as invoices are issued and paid
• Accounts payable metrics like invoice status and aging by vendor
• Spend analysis across all vendors and categories, with drill-down to transactions
• Working capital views combining receivables, payables, and inventory data

When issues surface (overdue invoices, unusual spending patterns, cash flow constraints), finance teams don't need to wait for manual reporting. They ask questions, get answers, and take action directly from the results.

Finance team use cases

Team	Key questions	Data sources
AP & Finance Operations	Which invoices are overdue? Can we identify duplicate payments? What is vendor spending by category?	ERP, billing, GL
Accounts Receivable	Which customers are at risk of late payment? What is receivables aging by segment?	ERP, CRM, billing, contract data
CFO & FP&A	What is our actual vs. forecast margin? Where is spending increasing? What is working capital?	ERP, GL, cost allocations
Compliance & Audit	Can we trace this transaction end-to-end? Does this balance match the GL? What changed in our financial data?	All systems, audit logs

Governance and trust

All queries operate within a governed framework. Unity Catalog ensures that:

• Row-level security is enforced automatically. A regional finance manager sees only transactions for their region.
• Column masking prevents exposure of sensitive data like employee payroll or GL codes.
• Query history and lineage are logged, so compliance teams can prove which data was used to support a decision.
• Every insight is traceable to specific transactions and tables.

This governance means finance leaders can act on insights with confidence, and compliance teams can audit decisions.

Implementation essentials

Setup requires data connectors to your systems, a Lakehouse schema aligned with your financial structure, configured Genie Agents with example queries, and Unity Catalog governance policies.

FAQs

How does Genie handle joins across ERP and CRM data?

Define join logic in your Lakehouse schema through SQL views or data models. Genie learns which tables to join from example queries you provide, then applies this logic to subsequent questions.

Can Genie enforce row-level security so users see only authorized data?

Yes. Unity Catalog row-level security policies automatically apply to Genie queries. A regional manager's agent returns only rows for their region; a controller sees only GL accounts they can access.

What about compliance and audit trails?

All Genie queries are logged with the question, generated SQL, results, and user. This audit trail is queryable for compliance reports. Lineage traces every figure back to source tables.