Technical problem
Complex business processes that are non-linear, carry several decision points and involve more than one department cannot be solved by traditional rule-based automation.
Autonomous agents and multi-agent architecture
Architectural solution
We build multi-agent systems where each agent holds a defined specialism. One analyses the incoming request while a second gathers information from the database, a third checks it against business rules, and a fourth prepares the final output. We construct the communication paths between agents (LangGraph, AutoGen) and the self-correction loops that catch their mistakes.
Operational outcome
Complex operational processes that used to need a person made autonomous end to end, with a lower error rate and handling times cut from hours to minutes.
III
Process automation, autonomous agents and workflows
Intelligent document processing and complex data pipelinesIn logistics, customs, insurance and finance, thousands of documents arrive every day in different formats — PDFs, scans, handwriting, complicated tables — and entering them by hand costs time and money.Decision support and forecasting modules, by departmentDecision-makers lose time working through mountains of data, and the analysis they get stays stuck in the past.
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