This white paper presents Agensee, Opensee’s Agentic AI solution for finance. By combining multiple specialized AI agents with real-time data access, Agensee addresses the complexity, scale, and compliance needs of modern financial analytics, outperforming traditional LLM-based approaches.
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What You’ll Learn
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- Why single LLMs aren’t enough for financial data analysis
- How specialized AI agents collaborate for more accurate, explainable results
- Key experiments proving the benefits of agent autonomy
- Practical use cases in risk analytics, scenario modeling, and reporting
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Key Highlights
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- Multi-agent system: Each agent (Orchestrator, Query Manager, Data Analyzer) has a distinct role, improving quality and efficiency.
- Agent autonomy: Giving agents independence leads to dramatically higher success and accuracy.
- Context & memory: Shared context and data memory ensure answers are relevant and secure.
- Proven results: Experiments show near-100% query success with the agentic approach.
- Real-world impact: Supports instant risk analytics, scenario analysis, compliance, and automated reporting in finance.
