AI that reduces risk and increases confidence in insurance operations
Swept AI gives insurers a real-time supervision and policy enforcement layer for AI-driven claims automation, underwriting assistants, fraud detection agents, and customer-facing tools. Prevent errors, control variance, and ensure compliance before actions impact customers or financial outcomes.
Trusted by major carriers, insurtech platforms, TPAs, and broker networks modernizing with AI.
AI introduces both opportunity and risk for insurers
Regulatory and financial exposure
Incorrect decisions in underwriting, pricing, or claims can trigger regulatory scrutiny, legal exposure, or financial loss.
Inconsistent or opaque AI behavior
Insurers need predictable, explainable AI decisions across diverse customer cohorts, not demo-level accuracy.
Complex real-world inputs
Dialect, incomplete information, ambiguous events, historical notes, scanned documents, and long conversational threads all increase variance in AI behavior.
Swept AI brings visibility, consistency, and runtime control to AI workflows across the insurance lifecycle.
Supervision and governance for insurance AI
Policy and Compliance Enforcement
Apply underwriting standards, claims rules, escalation triggers, and fraud protocols during every AI decision.
Financial Risk Reduction
Catch incorrect classifications, flawed explanations, suspicious extraction patterns, and drift in claim or pricing logic.
Operational Consistency
Monitor accuracy, repeatability, claim routing patterns, and cost stability across line-of-business and customer segments.
Human-Centered Oversight
Flag only high-risk or out-of-policy cases for review, reducing adjuster burden while preserving accountability.
How Swept AI Works
Monitor
Swept AI captures inputs, outputs, reasoning, and tool calls across AI systems supporting underwriting, policy servicing, quoting, fraud checks, and claims assessment.
Learn more
Evaluate
Every action or recommendation is tested against underwriting guidelines, claims rules, fraud signals, regulatory policies, and internal quality standards.
Learn more
Control
If an AI response is incomplete, inconsistent, risky, or out of policy, Swept blocks it, routes it to human review, or triggers a more conservative fallback.
Learn moreWhere insurers use Swept AI to control AI behavior
Claims Automation
Identify unsafe or incorrect recommendations, misrouted claims, bad summarization logic, and drift in classification patterns.
Fraud Detection Workflows
Monitor for false positives, shifting thresholds, and degradation in anomaly-detection behavior across customer cohorts.
Underwriting Assistants
Check for divergence from underwriting guidelines, inconsistent risk scoring, or policy-breaking suggestions.
Customer Service and FNOL Agents
Ensure policy explanations, eligibility checks, and intake guidance remain accurate, compliant, and consistent.
Broker, Agent and Adjuster Copilots
Guarantee that internal AI tools provide reliable reasoning, follow documentation standards, and respect privacy rules.
Enterprise security designed for insurers
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 requirements.
Deployment flexibility
Cloud, VPC, or on-prem to match enterprise security posture.
Insurance-grade control, safety, and auditability
Accuracy and Financial Control
- Correctness checks for claim summaries
- Detection of drift in risk scoring or severity classification
- Repeatability measurement across customer types
- Outlier analysis for escalating claim costs
- 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.
Talk to our team