# AI Agents for FinTech

> Custom AI agents for FinTech that retrieve filings, reason over risk, call your tools, and escalate the high-stakes calls to a human. Agentic development by Sentient Arc.

Agents that pull the right disclosure, reason over the exposure, and know when a human signs off.

## The challenge in FinTech
In financial products the judgment-heavy steps, assessing a counterparty, flagging a suspicious pattern, drafting a disclosure response, are exactly the ones a chatbot cannot move forward. They need real context from filings and transaction history, access to internal systems, and a hard line on where autonomy stops. An agent that acts without that line is a liability; one that only answers is a demo.

## Example workflows

### Counterparty and credit review
- Agent retrieves filings, ratings, and prior memos for the counterparty
- Reasons over exposure, covenants, and red flags against your underwriting rules
- Drafts a structured review with the supporting evidence cited inline
- Routes any case above a confidence or exposure threshold to a human reviewer

### Transaction monitoring triage
- Agent ingests a flagged transaction and assembles the surrounding account context
- Classifies it against AML and fraud typologies, scoring its confidence
- Clears low-risk cases with a logged rationale and escalates the rest to an analyst

## Outcomes
- Routine reviews clear automatically; only the uncertain or high-exposure cases reach a person
- Every agent action carries an audit trail fit for examiners and internal risk
- Analysts spend their time on judgment, not on assembling context across systems
- Confidence thresholds keep autonomy inside the limits the risk team sets

## FAQ
**How is an AI agent different from a chatbot in a financial product?**

A chatbot answers a question; an agent acts on it, retrieving filings, scoring risk, drafting the review, and triggering the next system, while escalating any high-stakes call to a human.

**Can an agent be safe enough for regulated workflows?**

Yes, when it is built as a bounded system: typed tool access, confidence thresholds, approval gates, and a complete audit trail. Autonomy never outruns the oversight the risk team defines.

**What can a FinTech agent realistically take off our team?**

The context-gathering and first-pass reasoning behind reviews, monitoring triage, and disclosure drafting, the volume work that stalls analysts before they ever apply judgment.

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Canonical page: https://www.sentientarc.com/solutions/ai-agents-for-fintech