What is AI automation?
AI automation combines language models with conventional software rules to process text, documents, and semi-structured data. AI is used only where flexibility creates clear value and the cost of errors can be controlled.
Business process automation
Classification, summarization, enrichment, report preparation, and information transfer between systems can be automated when outputs can be reviewed and measured.
LLM integrations and AI agents
Model providers, company data, and external tools are connected through controlled API layers. Permissions, validation, and human approval points are treated as part of the architecture.
API and AI architecture
The AI feature is designed together with data sources, backend services, caching, observability, and user experience instead of being isolated as a prompt.
Realistic use cases
Internal assistants, document processing, reporting, data analysis, request classification, and AI features for existing products can be evaluated according to project scope.
Real project
BIST AI
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Question-answering over private company documents with strict data privacy.