# AI Automation for FinTech

> AI automation for FinTech: observable, auditable workflows for KYC, reconciliation, and reporting, built to run in regulated operations, not just demo. By Sentient Arc.

Automation for the regulated middle and back office, observable, reversible, and built to survive an audit.

## The challenge in FinTech
FinTech operations run on hand-offs that are invisible until they break: onboarding stuck on a missing document, ledgers that disagree at month-end, reconciliations chased across spreadsheets, reports compiled by hand the night before they are due. Off-the-shelf automation handles the happy path and abandons the exceptions, which in finance are the cases that carry regulatory and monetary weight.

## Example workflows

### KYC and onboarding orchestration
- Trigger on a new application and pull identity, document, and sanctions-screening results
- Extract and validate fields from uploaded documents, scoring each for confidence
- Auto-approve clean cases and route ambiguous or adverse hits to a compliance reviewer
- Write the full decision trail to an immutable log for later examination

### Reconciliation and reporting
- Pull transactions from the ledger, processor, and bank feed on a schedule
- Match records, isolate breaks, and summarize discrepancies for the operator
- Compile the recurring regulatory and management report from reconciled data

## Outcomes
- Onboarding clears in minutes for clean applicants, with exceptions surfaced not buried
- Reconciliation breaks are isolated automatically instead of hunted across spreadsheets
- Recurring reports compile from reconciled data, with a live console operators can trust
- Every automated action is logged and reversible, so the workflow withstands an audit

## FAQ
**What FinTech process should we automate first?**

Start where volume meets clear rules and a heavy audit burden: KYC onboarding, reconciliation, and recurring regulatory reporting, then expand once the system proves itself.

**How do you keep automated financial operations auditable?**

Every action is observable, reversible, and written to a log, with confident cases routed automatically and uncertain ones escalated to an operator: speed where it is safe, judgment where it matters.

**How is this different from a Zapier or n8n workflow?**

Those are the plumbing. We add AI decisioning, confidence thresholds, human-in-the-loop gates, and full observability: the layer that turns a set of triggers into a system you can defend to a regulator.

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