Intelligence inside the work, not a chatbot bolted on
AI
Put models where they remove a real step: reading documents, searching, classifying, assisting — then hand off to software.
Problems this covers
- People retype what is already on paper or in PDFs.
- The company wants an assistant that knows its own data.
- An existing product needs intelligence without becoming a science project.
What can be built
- AI inside existing products
- Assistants grounded in company information
- Document AI and OCR pipelines
- Search over internal knowledge
- Classification and data extraction
- Computer vision where the job is visual
Systems involved
- Model APIs
- Retrieval over your data
- Human review steps
- Downstream software hooks
Example applications
- Invoices read and posted into accounting
- An assistant that answers from internal docs
- Vision checks on a production line
In this area
- AI integration
- AI assistants
- Document AI