Whiz Solutions applies practical AI where it delivers measurable value — extracting data from documents, validating information, and removing repetitive manual work. Our AI document processing and OCR solutions convert paperwork, images, and scanned records into structured, accurate data your systems can use. We integrate Azure AI, Azure OCR, and OpenAI into real business workflows, so AI does useful work inside your operations rather than sitting in a demo.
We build OCR solutions that read scanned documents, images, and forms and turn them into structured, usable data. Using Azure OCR combined with AI-assisted extraction, we capture fields like reference numbers, IDs, and line items automatically instead of having staff retype them.
We extract specific data points from documents and validate them against rules and existing records before they enter your systems. Automated checks catch duplicates, malformed values, and mismatches at the point of capture, raising accuracy and cutting rework.
We integrate Azure AI services — OCR, document intelligence, and cognitive capabilities — into custom applications and workflows. AI becomes a component of your business system, processing documents and data as part of the normal flow.
We integrate OpenAI and large language models into business applications for tasks like summarization, classification, drafting, and natural-language querying of your own content. We scope these carefully so the model is used where it's reliable and adds real value.
We build knowledge management solutions where staff can ask questions in natural language and get answers grounded in your own documents and data. This turns scattered policies, procedures, and records into a system people can actually query.
We automate sorting and verification of incoming documents — classifying by type, routing to the right workflow, and flagging exceptions for review. High-volume document handling becomes a controlled, automated pipeline.
We combine AI extraction with workflow automation so an entire process — capture, validate, route, approve, record — runs with minimal manual touch. AI handles the reading and checking; automation handles the movement and sign-off.
We layer AI on top of your data to surface patterns, summaries, and exceptions that would take analysts hours to compile. Management gets faster insight without expanding the reporting team.
We find the document- or data-heavy process where AI produces measurable time and accuracy gains, and set realistic expectations.
We build a focused proof of concept on your real documents to validate extraction accuracy before committing to a full build.
We embed the AI and OCR into your workflow and systems, with validation rules and human review where accuracy matters most.
We measure accuracy in production and tune the solution as document types and volumes evolve.
For a marketing partner serving a global automotive brand, we built OCR-based capture that automatically extracts registration details — registration number, VIN, and vehicle information — from uploaded Registration Certificates. Extracted data is validated before submission, cutting manual data entry and reducing VIN errors across multiple dealerships.
Flutter · Laravel · Azure OCR · AI-assisted OCR · AWS
Within the same automotive platform, field traders capture customer and vehicle data on a Flutter mobile app, with automated VIN validation and duplicate detection catching errors at the point of entry rather than in later reconciliation.
Flutter · Laravel · MySQL · Azure OCR
Across our document and approval solutions for a pharmaceutical distribution company, we combined structured capture with automated routing and validation, replacing manual paperwork handling with controlled, traceable digital flows.
SharePoint Online · Power Automate · Power Apps · Microsoft 365
Since 2012 we've built and supported real systems for organizations across the Middle East and the United States. Let's scope yours.
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