AI agents for
financial services.
Detect fraud in real time, automate KYC/AML workflows, optimize treasury operations, and monitor regulatory compliance — with SOX-compliant audit trails and PCI-DSS architecture built in from day one.
Where financial AI agents deliver results.
Four workflows where we consistently see measurable impact within the first quarter of deployment.
Fraud Detection Agent
Before
Transaction monitoring relies on static rules that generate thousands of false positives daily. Investigators spend 80% of their time closing alerts that turn out to be legitimate activity. Actual fraud patterns evolve faster than rule updates.
After
A fraud detection agent analyzes transactions in real time using behavioral patterns, device fingerprinting, and network analysis. It prioritizes alerts by risk score so investigators focus on the highest-probability cases first. The agent adapts to new fraud vectors within days, not months.
92-97% true positive rate
KYC/AML Automation
Before
Customer onboarding takes 5-15 business days. Analysts manually verify identity documents, screen watchlists, assess risk profiles, and chase missing documentation. High-value clients get frustrated. Compliance costs per account keep rising.
After
A KYC agent extracts and validates identity documents using OCR and database cross-referencing, screens against OFAC/EU/UN sanctions lists in real time, assigns risk ratings based on configurable criteria, and flags only anomalies for human review. Onboarding drops to hours for standard-risk clients.
80% faster onboarding
Treasury Operations Automation
Before
Treasury teams manually reconcile cash positions across 15+ bank accounts every morning. FX exposure calculations happen in spreadsheets. Liquidity forecasts are outdated by the time they reach the CFO. Sweep operations are reactive, not optimized.
After
A treasury agent aggregates real-time balances across all banking relationships, calculates FX exposures against policy limits, generates intraday liquidity forecasts, and executes sweep operations within pre-approved parameters — all before your team finishes their first coffee.
Real-time cash visibility
Regulatory Compliance Monitoring
Before
Compliance teams manually track regulatory changes across federal and state agencies, update policy documents in arrears, and discover gaps during examinations — not before them. Regulation change volume has tripled since 2020.
After
A compliance monitoring agent tracks regulatory publications from OCC, FDIC, SEC, CFPB, FinCEN, and state regulators in real time. It maps new requirements to your existing control framework, identifies gaps, assigns remediation tasks, and maintains an always-current compliance posture dashboard.
Zero regulatory surprises
Built for financial leaders who need control and scale.
CFOs managing regulatory complexity
Your compliance costs keep rising, SOX attestation consumes entire quarters, and you need operational efficiency without sacrificing audit readiness. AI agents automate the repetitive controls work so your team focuses on strategic financial decisions.
Heads of Compliance under examination pressure
Regulatory change velocity is outpacing your team's ability to track, interpret, and implement. You need automated monitoring that catches gaps before examiners do — and produces documentation that satisfies their scrutiny.
VPs of Engineering modernizing legacy systems
Your core banking platform is decades old, but ripping and replacing isn't an option. AI agents can sit on top of legacy systems, automating workflows through existing interfaces without requiring platform migrations.
COOs responsible for operational efficiency
Transaction volumes are growing, headcount is frozen, and manual processes are the bottleneck. AI agents handle the throughput increase without proportional staffing increases — while maintaining the control environment your auditors require.
From compliance audit to production agent.
Compliance & Data Audit
We map your regulatory obligations (SOX, PCI-DSS, BSA/AML, state-specific), identify data flows that agents will touch, classify sensitivity levels, and document control requirements before designing anything.
Secure Architecture Design
We design the agent architecture with your InfoSec and compliance teams — data isolation, encryption standards, access controls, audit logging, and integration patterns with your core systems. Nothing is built until the architecture is approved.
Pilot with Controlled Portfolio
We deploy to a limited scope — one product line, one branch, one transaction type. We measure accuracy, false positive rates, and processing time against your current baseline before expanding.
Production Monitoring & Audit Trails
Production agents run with real-time performance dashboards, drift detection, and complete audit trails. Your compliance team has full visibility into every agent decision and can generate examination-ready reports on demand.
Questions about financial AI agents.
How do you ensure AI agents meet data security requirements for financial institutions?
Security is architected before a single line of agent code is written. Every agent operates within a zero-trust perimeter with encrypted data at rest (AES-256) and in transit (TLS 1.3). We implement role-based access controls that mirror your existing entitlement matrices, and all agent actions are logged to immutable audit stores. For PCI-DSS scoped agents, we isolate cardholder data environments and ensure agents never persist sensitive authentication data. We work with your CISO and InfoSec team to validate the architecture against your control framework before deployment.
Can AI agents operate within SOX compliance requirements?
Yes. SOX compliance is about demonstrating that internal controls over financial reporting are effective and auditable. Every agent we build produces a complete decision trail — what data it consumed, what logic it applied, what output it produced, and who approved it. We design agents with segregation-of-duties controls so no single automated process can both initiate and approve a financial transaction. Audit committees can review agent decision logs the same way they review human process documentation. We also build control attestation dashboards that map directly to your SOX testing framework.
How do AI agents integrate with core banking systems and payment processors?
Integration depends on the platform. For modern core banking systems like Temenos, Mambu, or Thought Machine, we connect through their published APIs with proper authentication and rate limiting. For legacy platforms running on mainframes or AS/400 systems, we use middleware adapters or secure RPA layers that interact with the existing interfaces without requiring core system modifications. Payment processor integrations follow the processor's certification requirements — we handle the compliance documentation as part of the engagement. All integrations include circuit breakers, retry logic, and monitoring to ensure agent failures never cascade into transaction processing issues.
What accuracy levels do your fraud detection agents achieve?
Accuracy depends on the fraud typology and data quality. For transaction-level fraud detection, our agents typically achieve 92-97% true positive rates on known fraud patterns while maintaining false positive rates under 3% — which is the critical metric for operations teams drowning in alert queues. We tune models against your historical fraud data during the pilot phase and establish precision/recall baselines before production deployment. The agent continuously learns from investigator feedback loops — when an analyst marks a flagged transaction as legitimate or confirms fraud, that signal improves future detection. We report accuracy metrics weekly and retrain models quarterly or when performance drifts below agreed thresholds.
How do your agents handle audit trail requirements for regulatory examinations?
Every agent decision is persisted to a tamper-evident audit log that captures the input data, the model version, the decision rationale, the confidence score, and the timestamp — all stored in append-only storage with cryptographic integrity checks. For regulatory examinations, we provide export tooling that generates examination-ready reports in formats your compliance team specifies. Agents that make or influence financial decisions include explainability layers so examiners can understand why a specific decision was made — not just that it was made. We have supported clients through OCC, FDIC, and state regulator examinations where agent-driven processes were in scope.
Financial services expertise — not generic AI consultants
We understand SOX controls, PCI-DSS scoping, BSA/AML obligations, and the examination culture that defines financial services technology. You contract with a US LLC (Florida), communicate in your timezone, and get senior AI engineers with genuine financial domain knowledge at 40-60% less than US-only rates through our LATAM delivery center.
SOX & PCI-DSS compliant by design
Audit trail architecture reviewed with your compliance team before development starts
Core banking integration experience
Temenos, Mambu, FIS, Jack Henry, legacy mainframe — we know these systems
Ready to automate your compliance and operations workflows?
Tell us which workflow is consuming the most analyst time — fraud investigation, KYC onboarding, treasury reconciliation, or regulatory tracking. We'll map the agent opportunity and give you an honest assessment before you commit.