FinFloh connects Oracle NetSuite with CRM and other systems through a single warehouse and deploys AI automations and agents to automate invoicing, customer-ledger recon, collections and cash application.

Customer invoices, payments, balances and advices sit across ERP, CRM, emails, making it difficult to reconcile.
Invoices need to be validated against contracts, SOWs, orders and commercial terms that sit in CRM outside the ERP.
Ageing alone doesn't tell the complete story, the collector must know why payment is delayed or what action to take.
Remittances and payment references need human intervention to map cleanly onto customers and open invoices.
Invoice and reminder emails and customer email responses often sit across inboxes — not alongside the receivables.
Short-payments, deductions, claims and disputes take time to resolve and delay receivables.
Each one closes a gap above, reading NetSuite data, adding the context the ERP never sees, and writing approved outcomes back.
Talk to an ExpertOpen AR tells you a balance exists. FinFloh reconciles NetSuite receivables against the evidence outside the ERP — remittances, emails, contracts, POs, credit notes and claims — into one explained position per customer.
What was billed?
What was paid?
What was deducted?
Who needs to act?
FinFloh reads the commercial source of truth and checks the invoice against it, so billing errors are caught before they become receivables exceptions.
Pricing validation
Tax validation
Delivery tracking
Discrepancy alerts
An ageing bucket doesn't explain why a customer hasn't paid. FinFloh adds payment behaviour, open disputes and prior commitments, then tells collectors what to do next.
Risk-based priority
Automated reminders
Promise-to-pay
Escalations
FinFloh reads remittance advice, identifies the customer, matches against open invoices and scores its own confidence — routing only genuine exceptions to a human.
Partial payments
TDS / tax adjustments
Bank charges
Short payments
Collection emails, customer replies, payment commitments and dispute threads live in inboxes, not in NetSuite. FlohSense reads that correspondence, understands what the customer actually said, and attaches it to the receivable it belongs to.
Promise-to-pay capture
Dispute detection
Payment advice extraction
Auto-routing
Drafted replies
A short payment against a NetSuite invoice becomes a classified exception with supporting evidence, a named owner and a tracked path to resolution.
Pricing disputes
Promotional claims
Tax differences
Quantity disputes
Credit issues
Quicken your audit process through clearly defined processes, documents and outcomes. Track the process steps to completion.
01
Integration setup data source mapping
02
Workflow configuration user and role setup
03
Data validation testing with real AR data
04
Controlled rollout team onboarding
05
Manage increase in size and complexity of business
Quicken your audit process through clearly defined processes, documents and outcomes. Track the process steps to completion.
No. NetSuite remains your financial system of record. FinFloh works alongside it as an AI-powered accounts receivable layer — reading NetSuite data, adding the context that sits outside the ERP, and automating the AR workflows around it.
FinFloh uses a native NetSuite connector that keeps customer, invoice, payment and receivables data dynamically in sync, so finance teams work from current NetSuite data rather than periodic exports.
Both. The connector is two-way: FinFloh retrieves data from NetSuite and writes approved outcomes back — such as payment applications, AR updates, dispute outcomes and workflow status.
Supported write-back objects are confirmed per deployment and governed by your approval controls.
FinFloh workflows are built around customer master data, invoices, credit memos, sales orders, payments, open receivables, customer transactions and AR balances.
The exact scope for your instance is confirmed during integration design.
FinFloh reconciles NetSuite receivables against evidence outside the ERP — remittances, emails, contracts, POs, credit notes and claims — and shows matched items, exceptions, root cause and recommended action for each customer.
Yes. FinFloh reads contracts, SOWs, POs and billing inputs, validates pricing, tax and commercial terms against the invoice, and flags discrepancies before the invoice is posted to NetSuite and delivered.
FinFloh layers payment behaviour, open disputes and prior commitments onto NetSuite ageing and open AR, then gives collectors a prioritized worklist with a recommended next action, automated reminders and promise-to-pay tracking.
FinFloh reads remittance advice, identifies the customer, matches payments to open invoices and scores its confidence.
High-confidence matches are applied to NetSuite; genuine exceptions are routed to a person for review.
FlohSense reads customer emails and replies, understands intent — a payment commitment, a dispute, a query or payment advice — links it to the right NetSuite customer and invoice, and triggers or routes the next workflow.
Every short payment or deduction becomes a classified exception. FinFloh gathers the supporting invoice, contract, remittance and correspondence, routes it to an owner, and tracks the decision and recovery through to closure with a full audit trail.