The concept of agentic AI systems – where AI models act autonomously to achieve goals, learn from their environment, and adapt their behavior – represents a leap beyond traditional automation or even basic generative AI.
For the financial sector, this shift unlocks powerful possibilities:
- Intelligent portfolio management
- Dynamic fraud detection
- Personalized client advisory at scale
- Optimized operational processes
At Qubika, we’re bringing this vision to life through a modular approach enabled by LangGraph and Databricks. Our approach balances dynamic agent behaviors with the control and traceability that enterprise systems demand.
👉 Want to see how this works in practice? Then join our upcoming webinar with me, Sebastian Diaz, SVP of Data & AI, where I’ll break down the architecture and real-world applications of agentic AI in finance.
What you’ll learn in the webinar
Module 1 – Interpretation
How natural language is translated into structured, intent-driven queries that capture business context and user intent.
Module 2 – Retrieval
How agents securely connect to enterprise data sources—including Databricks Mosaic AI MCP—to deliver accurate, context-aware results.
Module 3 – Validation
How to build oversight and trust by combining domain-specific evaluation, LLM-based scoring, and frameworks like MLflow.
Join us this Thursday!
🚀 Don’t miss this opportunity to explore how agentic AI is reshaping finance. Simply sign up here.
📅 Thursday, September 25 at 1:00 PM ET
