Significant Efficiency Gains - Reduced the manual workload of bookkeepers and accountants by automating repetitive data entry and initial categorization tasks.
Customizable Accuracy - Provided mechanisms for users to customize prompts and categorization rules, allowing tailored accounting processes for different client needs.
Robust Validation System - Created an integrated, multi-step validation approach combining AI self-diagnosis with manual checks, effectively balancing automation with accuracy.
Strategic Roadmap for Growth - Identified future enhancements such as further prompt refinement and integration of traditional coding methods, ensuring continuous improvement in accuracy and scalability for large-scale operations.
Achieved a 65% accuracy rate in automated journal entry generation, significantly improved from an initial 25-30%.
Enabled simultaneous processing of batches up to 100 receipts, dramatically reducing manual input requirements.
Demonstrated potential to scale further by refining prompts and strategically offloading specific tasks from the LLM to traditional coding methods, moving towards the client’s targeted 99% accuracy.
I worked with Dominic and Wes at a critical juncture in our business. They helped us scope and build an exploratory proof of concept that now serves as the foundation of our product. The entire team was professional, collaborative, and brought real value through their expertise. I'm looking forward to continuing our partnership.
John Marshall
Co-Founder
Putting life-saving gas leak detection data in the hands of Critical Facility Technicians
We co-created and launched a Customer Insights platform with Toyota Dealers across the United States
Building a digital sales centre experience that raised $1 million in seed funding