AI for Fintech
We've done AI at Fortune 10 banks. Now we build it for fintech teams that move faster.
AI automation for fintech deploys intelligent agents that handle KYC onboarding, AML compliance, fraud detection, and regulatory reporting - the work that buries your compliance team in manual reviews and spreadsheet reconciliation. These agents process documents, cross-reference sanctions databases, score transaction risk, and generate audit-ready output around the clock.
McKinsey estimates AI could deliver $200-340 billion in annual value to banking. The fintech teams deploying agents today are capturing that margin first.
Scope My Fintech AgentWhat we build for fintech
Production agents handling real volume. These are the builds we ship most often for fintech teams.
Contract Review Agent
Reads loan agreements, vendor contracts, and partnership terms. Extracts key clauses, flags non-standard language, checks against your compliance rulebook, and routes for approval.
KYC/AML Compliance Agent
Pulls applicant data from ID verification APIs, cross-references sanctions lists and PEP databases, scores risk, and generates compliance-ready onboarding packets. Human review only on flagged cases.
Transaction Monitoring Agent
Watches transaction streams in real time, applies behavioral models to detect anomalies, and triages alerts by severity. Reduces the noise that buries your compliance team in false positives.
Regulatory Reporting Agent
Automates SAR filing, CTR generation, and periodic regulatory submissions. Maintains complete audit trails, timestamps every decision, and formats output to match FinCEN and state regulator requirements.
Why fintech AI is different
Most AI consultancies build agents and hope compliance works itself out later. In financial services, that approach gets you a cease and desist. We build regulatory controls into the architecture from the start, because we've done this in environments where the consequences are real.
SOC 2 Type II
Every agent we build follows SOC 2 controls by default. Encryption at rest and in transit, access logging, separation of duties. We document everything your auditor will ask for.
PCI-DSS
We never store cardholder data in agent memory or logs. Tokenization, network segmentation, and secure API integrations are built into the architecture from day one.
GDPR & Data Residency
Data minimization, right-to-erasure hooks, and configurable data residency. If you serve EU customers, your agents need to respect jurisdiction boundaries. Ours do.
BSA/AML & FinCEN
Automated suspicious activity detection, SAR filing workflows, and currency transaction reporting. Complete decision audit trails that hold up under examiner scrutiny.
Who builds this
James Perkins
Co-Founder, Automation Transformation Consulting
22 years shipping software. Led AI transformations at Fortune 10 financial institutions, the kind where a bad deploy means a call from the OCC, not just a Slack message. Built and shipped 80+ AI automations across fintech, banking, and enterprise SaaS.
When we say we understand regulated environments, it's not a marketing claim. It's a resume line.
Frequently asked questions
What is AI automation for fintech?
AI automation for fintech uses intelligent agents to handle compliance, fraud detection, KYC onboarding, and regulatory reporting tasks that traditionally require large manual teams. These agents process documents, cross-reference databases, score risk, and generate audit-ready output, running 24/7 without the bottlenecks of human-only workflows.
How do AI agents handle KYC and AML compliance?
Our KYC/AML agents pull applicant data from ID verification services, check sanctions lists and PEP databases in real time, apply risk-scoring models, and generate compliance packets. They flag edge cases for human review while auto-approving clean applications. The result: onboarding timelines drop from days to minutes.
Can AI agents meet SOC 2 and PCI-DSS requirements in financial services?
Yes. We build compliance controls into the agent architecture from day one: encryption at rest and in transit, access logging, data minimization, tokenization for sensitive fields, and separation of duties. Every agent ships with the documentation your auditor needs for SOC 2 and PCI-DSS assessments.
How do you reduce false positives in transaction monitoring?
Traditional rule-based systems flag everything that matches a pattern, burying analysts in noise. Our agents apply behavioral models that learn normal transaction patterns for each customer segment, then score anomalies by severity. Clients typically see a 60%+ reduction in false positives within the first month.
What does an AI agent engagement cost for fintech?
Single-agent builds run $15,000-$25,000 over 4-8 weeks. Multi-agent systems, like a combined KYC + transaction monitoring + reporting pipeline, start around $40,000. We scope every engagement before quoting, so you know exactly what you're getting before we write a line of code.
How long does it take to deploy an AI agent in a regulated environment?
Typical single-agent builds take 4-8 weeks including compliance documentation and audit trail setup. The regulatory overhead adds about a week compared to unregulated industries, mostly for documentation and controls testing. We handle that. It's not new territory for us.
Scope My Fintech Agent
Tell us the compliance workflow, the fraud pattern, or the onboarding bottleneck. We'll scope it, build it, and ship it with the audit trails your regulators expect.