Artificial Intelligence (AI) is the set of algorithms and technologies that enable machines to mimic human-like learning, reasoning and problem-solving abilities. Used to power information processing, forecasting and decision support systems, AI is a strategic advantage for today’s data-driven organizations.
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Traditional enterprise applications are often based on fixed rules and manual processes. AI support is mostly maintained in external systems and integration requires huge cost and time.
i-frame offers a structure that can integrate directly with AI-powered external services and add intelligent guidance, insight and automation to processes:
- It incorporates functions such as OCR and natural language processing,
- It triggers AI services and generates insights from data,
- Improves user experience with automated translation and recommendation systems.
| Feature | Traditional Methods | i-frame |
|---|---|---|
| AI Integration | Requires external developer | Ready API connections, triggering |
| Data Processing | Manual coding, complex logic | Simplified with object-based structure |
| Process Improvement | Rule-based | Prediction-driven guidance |
| Multi-AI Service Usage | In independent systems | Managed through a common platform |
| Translation & NLP | Third-party software | Callable directly from i-frame |
Modular AI Integration
- API-level connectivity with models such as Azure AI, OpenAI, Huggingface
- Infrastructure for sending data / receiving results in the process
OCR & NLP Support
- Text recognition via image or PDF
- Content classification with natural language analysis
Suggestion Systems
- Dynamic routing based on user behavior
- Proactive action triggering infrastructure
Smart Processes
- Prediction and classification with AI
- Condition-based automation development
Translation Module with AI
- Automatic conversion of in-app content to target language
- Operational simplicity for multilingual organizations
- OCR-assisted document processing
- Predictive guidance in processes
- Automatic in-app language translations
- AI-powered analytics in reporting
- Anomaly detection and risk classifications
- Data enrichment scenarios working with external AI models
- IT Teams: Systems engineers who want to enrich existing processes with a layer of intelligence
- Data Scientists: Experts who want to combine analysis processes with workflows
- Business Units: Managers seeking process optimization with automated decision support mechanisms
- Increased depth of analysis by integrating AI functions into processes
- Time-consuming decision points simplified with smart automation
- Multilingual user experience, compatible with international teams
- Institutional memory is enriched by making sense of complex data sets
- Predictive management approach develops