-%202160%20px%20x%201131%20px-fundsdlt.png)
Overview
InvoiceTray simplifies invoice creation, document ingestion, and data extraction through AI-driven workflows. Instead of relying on manual input or fragmented tools, the platform automates key financial processes while remaining flexible enough to adapt to different business needs.
The product was conceived, designed, and built entirely using AI-assisted development, serving as a real-world reference for how teams can move from concept to working product with significantly reduced time-to-market.
The Challenge
Manual Invoicing & Admin Overhead : For many founders and small teams, invoicing is still a time sink: creating invoices, chasing missing details, and maintaining consistency across documents. Errors and delays accumulate quickly when the process is manual.
Messy Inputs & Low Trust Data : Invoices come in different formats, with inconsistent fields and layouts. Extracting reliable information requires manual checks and repeated corrections—especially when teams need structured data for accounting, reporting, or operations.
Speed Without Technical Debt : Shipping fast is easy; shipping fast without building a fragile product is harder. The goal was to move quickly while still designing a maintainable architecture, clean UX flows, and scalable foundations.
Making AI Work End-to-End : The challenge wasn’t “adding AI features.” It was proving AI can support the full delivery chain: product definition, design decisions, development workflows, quality assurance, and iteration—resulting in a real, production-ready product.
Our Approch
AI-First Product Definition : We started by defining the workflow around real user jobs-to-be-done: creating invoices, managing documents, extracting data, and reducing admin time. AI was treated as core product logic—not an add-on—so every feature supported automation and clarity.
AI-Assisted Delivery System : We used AI across the entire build process: scoping, UX flows, copy, engineering tasks, QA checks, and iteration cycles. This compressed delivery timelines while keeping decisions documented and execution aligned across the team.
Scalable MVP Architecture : We built InvoiceTray as a modular MVP designed to evolve: clear separation of core workflows, extensible data handling, and a foundation ready for future features like integrations, approvals, roles, and automation rules.
Quality, Safety & Human Control : We designed AI workflows with usability and reliability in mind: clear outputs, review steps where needed, and predictable interactions. The goal was automation with confidence—so teams can trust results without losing control.
Results and Business Impact
InvoiceTray demonstrates how AI-driven development can dramatically accelerate product delivery while maintaining robustness and scalability. What traditionally requires months of coordinated effort was achieved in a fraction of the time.
The platform now serves as a concrete example of how The Disruptives builds AI-powered MVPs and full products—helping teams validate ideas faster, reduce build costs, and scale with confidence.
