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Zero-friction dark mode dashboard with real-time spend analytics and pending approval queue.
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Interactive AI extraction modal verifying parsed line items, vendor details, and tax totals before Xano sync.
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One-click invoice approval moving bills from Pending to Approved in under 5 seconds.
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Relational vendor directory and slide-out invoice inspector showing item breakdowns and audit history.
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High-velocity system architecture connecting Next.js 14, Multimodal AI, and Xano relational backend.
Inspiration
What it does
How we built it
Challenges we ran into
Accomplishments that we're proud of
What we learned
What's next for FlowZero
Inspiration: Rebuilding the SaaS We Hate
Enterprise accounts payable and invoicing tools like SAP Ariba, Oracle NetSuite, and QuickBooks are bloated relics of early-2000s software architecture. Processing a single vendor bill forces finance teams through 14+ mandatory form fields, nested menus, and 12+ clicks. We built FlowZero to prove that enterprise financial software can achieve consumer-grade velocity and extreme simplicity ("Grandma Theory" usability) backed by an enterprise-grade relational backend.
What It Does
FlowZero is an ultra-minimal, AI-driven invoicing and vendor management portal:
- Multimodal AI Ingestion: Upload messy raw receipts/PDFs or simply type conversational prompts (e.g., "Invoice from Cloudflare for $320 due on Sept 15 for DNS and Workers compute").
- Deterministic Parameter Extraction: Transforms unstructured inputs into structured line items, vendor metadata, currency, and tax calculations with 99%+ accuracy.
- 1-Click Transactional Workflow: Move invoices from
Pending→Approved→Paiddirectly from the dashboard in under 5 seconds. - Automated Relational Audit Trail: Every status change and ingestion event creates an immutable, timestamped record in Xano for financial compliance.
How We Built It (Xano Powerhouse)
- Backend & Database: Powered 100% by Xano. We designed relational schemas across
vendors,invoices,invoice_items, andaudit_logs. Xano handles transactional batch ingestion, relational integrity, and real-time aggregations. - Frontend: Next.js 14 App Router, TypeScript, and Tailwind CSS delivering a responsive, dark-mode dashboard.
- AI Engine: Multimodal LLM Vision and heuristic NLP extraction for template-free document parsing.
Challenges We Overcame
Orchestrating seamless data flow between asynchronous multimodal AI extraction and Xano's relational multi-table structures required strict schema validation and optimistic UI state management.
What We Learned & What's Next
Building with Xano demonstrated how quickly production-ready relational backends and API endpoints can be deployed without managing physical servers. Next, we plan to add automated multi-currency FX conversions and direct banking payout webhooks.
Built With
- gemini-api
- next.js
- react
- rest-api
- tailwind-css
- typescript
- xano

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