Finance
4 months
UK
After nearly a decade in corporate roles, David noticed a frustrating pattern during his quarterly audits: his team was wasting valuable time on repetitive tasks like data entry and document management. The solution was clear—these tasks could be automated. David began exploring how to automate manual data entry with AI and envisioned creating an OCR document management software to free his team from tedious work and allow them to focus on more important tasks. He reached out to Tezeract to implement an AI file management system that would automate these processes and improve efficiency.
As experts in AI automation, we quickly pinpointed Alisia’s key challenges and collaborated closely to enhance their processes. Our team does in-depth research on the problem and by utilizing AI and OCR techniques develops features like file management to keep a record of all the data of an organization, smart document search for retrieving documents without knowing their titles, and converting read-only files into editable formats. We also enable document export in various formats.
Alisia is more than just a tool—it’s like having a personal OCR detection system and AI-powered assistant. Upload a stack of documents, and Kafka seamlessly handles the rest, extracting key details and organizing everything. From invoices to ID cards and contracts, Kafka’s automated document processing with AI ensures efficient management, allowing your team to focus on what truly matters.
The need to build a system capable of juggling data from several companies, each with unique workflows. Ensuring that all of this information remained organized and secure was no small feat.
We had to balance simplicity and functionality for both admins and everyday users. The challenge was building a system where admins could oversee everything without overwhelming regular users.
Different documents, from invoices to ID cards, meant we had to design a solution that could accurately extract data from each type. Precision was key—every detail needed to be captured flawlessly.
We aligned with the business vision to develop a thorough project brief, which included extensive market research, competitor analysis, and relevant data. We then brought the concept to life by defining a detailed list of user stories and features to validate the core assumptions of the MVP.
We started by designing the key screens to show the client the product’s look. After refining the UX/UI through client feedback. Once these primary screens were finalized, we expanded the design to cover all additional screens and delivered the complete UX/UI for the product.
At this stage, we focus on developing the AI File Management System by crafting the architecture of the AI model and training it.
After the product launch, we collected feedback from end-users to refine and enhance the product. We introduced new iterations and features concurrently to ensure an optimal user experience.
Users can organize their work into neat, accessible folders, making it easy to manage dozens of projects at once. Everything is structured logically, so nothing gets lost in the shuffle.
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