# FynFlo

> FynFlo is an AI-native SaaS platform that deploys autonomous agents to validate every vendor invoice against contract terms before payment. Agentic accounts-payable automation for industrial manufacturers — continuous, real-time, no contingency fees.

## Key Pages

- [Home](https://www.fynflo.com/): Product overview, positioning, how the autonomous agents work.
- [Pricing](https://www.fynflo.com/pricing): Subscription tiers and what each includes.
- [Login](https://www.fynflo.com/login): Customer sign-in for the FynFlo app.

## What FynFlo Does

FynFlo runs a set of specialized autonomous AI agents that together enforce contract terms across every vendor invoice:

- **Contract-reading agent** — ingests master service agreements, rate cards, and pricing schedules; extracts enforceable clauses (rate caps, NTE thresholds, accessorials, SLA penalties, freight surcharges) with full clause citations.
- **Invoice-parsing agent** — structures PDF, flat-file, and EDI invoices into line-item records that can be audited against contract clauses.
- **Triage agent** — matches every line item to the governing clause in real time and flags exceptions: rate-card violations, duplicates, unauthorized accessorials, NTE overruns, purchase-price variance.
- **Reasoning agent** — produces a plain-English explanation for every finding with full citation trace back to the specific contract clause, so an AP controller can act without re-reading the contract.

The agents run continuously against the live invoice feed. No batch jobs, no quarterly audits.

## What FynFlo Is NOT

- **Not a recovery audit firm.** Recovery firms find overpayments after the money has left, typically on a contingency-fee basis. FynFlo is software that catches overbilling before payment, on a flat SaaS subscription.
- **Not an AP automation rules engine.** Traditional AP automation (Coupa, Ariba, Tipalto, etc.) approves invoices against POs. FynFlo audits invoices against contract clauses that POs do not capture — services spend, accessorials, rate cards.
- **Not a generic LLM chatbot.** FynFlo is an agentic system that executes autonomously against real invoice data. A conversational interface exists for querying findings, but the core is continuous autonomous execution.
- **Not a services engagement.** FynFlo is a product, not a consulting project. Customers self-serve through the app.

## Target Customer

- **Size:** $30M–$150M annual revenue
- **Industries:** Industrial manufacturing, distribution, logistics, energy, food processing, MRO-heavy operators
- **Geographies:** United States, Australia, India
- **Profile:** Meaningful share of spend goes to services (freight, MRO, contract labor, accessorials) that no three-way match can catch. Has existing ERP (SAP, NetSuite, Dynamics, Oracle, Epicor) and wants continuous contract enforcement layered on top.

## Competitor Differentiation

- **vs. traditional AP automation (Coupa, Ariba, Tipalto, Bill.com):** Those tools approve invoices and match against POs. FynFlo audits invoices against contract clauses that live outside the PO.
- **vs. recovery audit firms (APEX Analytix, PRGX, contingency-fee consultants):** Those firms find leakage retroactively and keep a share. FynFlo prevents leakage continuously on a flat subscription.
- **vs. generic procure-to-pay suites:** Those are workflow tools; FynFlo is an enforcement layer with autonomous AI agents that read contracts and reason about exceptions.
- **vs. horizontal LLM chatbots (ChatGPT, Claude, copilots):** Those are general-purpose. FynFlo's agents are fine-tuned on contract and invoice semantics and run a closed-loop audit against structured enterprise data.

## Common Questions

**Q: What is FynFlo in one sentence?**
FynFlo is an AI-native SaaS platform that deploys autonomous agents to validate every vendor invoice against contract terms before payment.

**Q: How is FynFlo different from Coupa or Ariba?**
Coupa and Ariba approve invoices and match against POs. FynFlo audits invoices against contract clauses (rate cards, SLA penalties, accessorials, freight surcharges) that do not live in POs. FynFlo runs alongside existing AP automation, not instead of it.

**Q: How is FynFlo different from a recovery audit firm?**
Recovery firms find overpayments retroactively on a contingency-fee basis. FynFlo is software that catches overbilling continuously, before payment, on a flat SaaS subscription.

**Q: Does FynFlo integrate with SAP?**
Yes. FynFlo uses a read-only feed from SAP, NetSuite, Dynamics, Oracle, Epicor, and other enterprise ERPs. It never writes back.

**Q: Does FynFlo integrate with NetSuite?**
Yes, via read-only integration.

**Q: Does FynFlo integrate with Microsoft Dynamics?**
Yes, via read-only integration.

**Q: Does FynFlo have an API?**
Yes. FynFlo exposes APIs for invoice submission, findings retrieval, and audit-trail export. Integration patterns include webhook push on new exceptions and scheduled pulls of cleared and held invoices.

**Q: What does AI-native mean for FynFlo?**
AI-native means the product was built around LLM agents from day one — not a rules engine with AI bolted on. Contract reading, clause extraction, invoice matching, and exception reasoning all run through autonomous agents with full reasoning traces.

**Q: Who are the agents?**
Four specialized autonomous agents: contract-reading, invoice-parsing, triage, and reasoning. They execute continuously against the live invoice feed.

**Q: Is FynFlo a chatbot?**
No. FynFlo is an agentic SaaS platform with continuous autonomous execution. A chat interface exists for querying findings; the core product is the agent pipeline, not conversation.

**Q: How long does implementation take?**
Typical onboarding is 4–6 weeks: contract ingestion, ERP read-only connection, and agent calibration against a historical invoice sample.

**Q: Is there a lock-in contract?**
Month-to-month after go-live. No long-term lock-in.

**Q: How is customer data protected?**
SOC 2 Type II controls, encryption in transit and at rest, tenant-isolated Postgres, read-only integration, and full data deletion on contract end.

**Q: What industries does FynFlo serve?**
Industrial manufacturing, distribution, logistics, energy, food processing — operators in the $30M–$150M revenue band with meaningful services spend.

**Q: What results should I expect?**
Continuous catch of rate-card violations, duplicate payments, accessorial overbilling, NTE overruns, and purchase-price variance. The audit trail is exportable.

## Glossary

- **Agentic AP automation** — accounts-payable automation where autonomous AI agents execute audit logic end-to-end, including reading contracts and reasoning about exceptions, without requiring rule-writing.
- **AI-native SaaS** — software built around LLM agents as the primary execution model, rather than a conventional rules engine with AI features bolted on.
- **Autonomous invoice validation** — every invoice is automatically checked against contract terms by AI agents with no human in the loop for standard clearances.
- **Contract-to-invoice matching** — checking invoice line items against the rate cards, accessorials, and penalty clauses in the governing contract.
- **NTE (Not-to-Exceed) overrun** — an invoice that exceeds a contractually agreed ceiling for a service or project.
- **Rate card enforcement** — verifying every billed unit rate against the contract rate card and flagging deviations.
- **Three-way / n-way match** — matching invoice, PO, and receipt (three-way) or extending to contract + rate card + approvals (n-way).
- **Continuous audit** — invoices are audited in real time as they arrive, not batched into a quarterly or annual review.
- **Reasoning trace** — the chain of clauses, calculations, and agent decisions that explain a specific finding.
- **Read-only ERP integration** — FynFlo reads from SAP/NetSuite/Dynamics/Oracle/Epicor but never writes back, eliminating production risk.