A deep dive into how autonomous AI agents are transforming banking, insurance, and investment — the extended version.

## Topics covered

- From rule-based chatbots to autonomous multi-step agents

- Multi-agent orchestration in financial workflows

- Cost controls and budget limits for AI operations

- Real-world use cases: KYC automation, claims processing, portfolio rebalancing

- The role of Claude, GPT, and open-source models in production

- Building trust: explainability, audit trails, and compliance

- Agentic workflows: planning, tool use, and self-correction

## Key insight

The next wave of fintech innovation is not about better chatbots — it is about agents that can reason, plan, and execute multi-step financial tasks autonomously, with full audit trails and cost controls.