Runtime supervision and control for AI in financial services

Swept AI enables banks, fintechs, and financial institutions to deploy AI with confidence by enforcing compliance, monitoring for drift, preventing incorrect decisions, and blocking risky behavior in real time. Improve accuracy, maintain regulatory posture, and protect customers at scale.

Trusted by fintech innovators, digital banks, payments platforms, and financial institutions committed to safe and compliant AI.

Pioneer
Financial Institution
Fintech Platform
Banking Network
Investment Firm

AI introduces real risk to financial systems without the right governance

Regulatory and compliance exposure

Incorrect AI outputs in lending, customer support, payments, or suitability can trigger regulatory action and financial penalties.

Opaque reasoning and unpredictable drift

Models can produce different answers for the same query, shift behavior over time, or fail on edge-case customer cohorts.

High-stakes decisions require guarantees

Financial decisions require consistency, documented reasoning, and strict alignment to policy — not probabilistic behavior.

Swept AI delivers active supervision so AI systems behave consistently, explainably, and within regulatory boundaries.

A real-time control layer for financial AI systems

Compliance Enforcement

Ensure all AI-driven decisions follow regulatory rules, internal policies, disclosures, and suitability requirements.

Financial Accuracy and Integrity

Monitor and detect inconsistencies in calculations, classification, reasoning chains, and transaction-focused behavior.

Operational Stability

Track repeatability, cost, latency, and drift across customer groups, geographies, and products.

Human-in-the-Loop Controls

Route flagged interactions to underwriters, analysts, or risk teams with replayable evidence bundles.

How Swept AI Works

Monitor

Capture inputs, outputs, logic, and tool calls from AI systems supporting banking, investments, payments, fraud detection, and support operations.

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Evaluate

Test each interaction against compliance rules, risk policies, calculation standards, and internal controls.

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Control

Block or escalate risky or incorrect responses, enforce hard stops, or route cases to human review.

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Where financial institutions use Swept AI today

Lending and Credit Decisioning

Detect inconsistencies in income extraction, debt classification, collateral interpretation, and policy alignment.

Fraud and Risk Detection Agents

Identify threshold drift, false positives, and inconsistent anomaly detection across customer segments.

Customer Support and Digital Banking Assistants

Ensure accurate explanations of fees, account rules, transfer limits, disclosures, and eligibility.

Wealth and Advisory Copilots

Check suitability, diversification logic, risk disclosures, and compliance-aligned language.

Broker, Agent and Adjuster Copilots

Guarantee that internal AI tools provide reliable reasoning, follow documentation standards, and respect privacy rules.

Enterprise security designed for financial services

Full data-privacy guardrails

Optional redaction, PII masking, no logging of user-sensitive inputs if required.

Audit trails and reporting

For compliance, legal, and risk review.

Deployment flexibility

Cloud, VPC, or on-prem to match enterprise security posture.

Financial-grade accuracy, compliance, and governance

Accuracy and Financial Controls

  • Check calculations, classifications, and extraction correctness
  • Detect drift in credit scoring logic or fraud thresholds
  • Validate disclosure accuracy
  • Measure repeatability across customer groups
  • Enforce financial limits, approval trees, and escalation paths
  • Enforcement of payout thresholds, documentation standards, and multi-step approvals

Compliance and Governance

  • Audit trails for regulatory review
  • Enforcement of underwriting rules and claims policies
  • PII redaction and data-handling controls
  • Environment versioning and explainability bundles
  • Role-based approvals for high-risk or high-financial-impact actions

Move from AI promise to proof.

Run a free evaluation, supervise in production, and share proof with reviewers.

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