The AI Orchestration Layer for Modern Insurance

From internal controls to customer-facing workflows, Dot orchestrates AI across regulated insurance systems.

Key Challenges in Insurance Industry

Introducing AI into customer-facing insurance workflows without compromising regulatory compliance, explainability, or auditability.

Scaling AI-assisted policy viewing and customer support while preserving required human-in-the-loop controls and accountability.

Integrating AI with core insurance platforms and legacy systems without increasing architectural complexity or operational risk.

Justifying AI investments beyond agents by demonstrating measurable operational value, cost efficiency, and production readiness.

How Dot Addresses These Challenges

Dot orchestrates claim and policy workflows by unifying customer support, policy knowledge, and internal control logic across insurance systems, enabling supervised and compliant execution.

Centralizes policy and claim knowledge for customer representatives through a controlled AI layer.
Supports supervised customer support with clear human-in-the-loop controls.
Validates information consistency using internal control and risk logic before claims progress.
Integrates with core insurance platforms via APIs without disrupting existing systems.

Claim matching requires more than speed; it requires consistency, traceability, and controlled validation across policy and claim data.

Matches claims against policy terms using supervised AI workflows rather than isolated model decisions.
Applies rule-based and contextual checks to identify mismatches and inconsistencies early.
Supports human review and escalation before approvals are triggered.
Integrates with core policy and claim systems without altering existing approval structures.

Policy management requires consistency, traceability, and controlled updates across systems rather than isolated automation.

Centralizes policy knowledge to support customer representatives and internal teams with reference-backed, consistent information.
Supports supervised policy updates and categorization through orchestrated AI workflows.
Maintains alignment with internal control and compliance requirements during policy changes.
Integrates with core insurance and customer-facing systems without altering existing approval structures.

Regulatory compliance requires traceability, consistency, and audit-ready processes across systems rather than reactive controls.

Centralizes regulatory documents, internal control frameworks, and audit records into a unified compliance layer.
Provides explainable, reference-backed assessments aligned with internal control and risk methodologies.
Continuously monitors processes and flags potential compliance risks before escalation.
Generates standardized, audit-ready reports with full traceability and historical context.

Why Dot?

QNB Finansbank has redefined banking services by integrating advanced AI technology into its operations. By leveraging Dot's all-in-one AI platform, QNB Finansbank overcame challenges in data processing, regulatory compliance, fraud detection, and customer personalization, transforming its operational efficiency and customer satisfaction.

51%

faster claims processing

Automated Claims Intake

Dot structures scanned, handwritten, and digital claim documents into a single, validated data flow—ready for downstream claim decisions.

47%

improvement in claims matching accuracy

Smart Claims Matching

Dot matches claims against policy terms and historical patterns using explainable AI, reducing manual reviews and errors.

36%

reduction in policy update turnaround time

Policy Management Automation

Dot automates policy creation and updates across core systems with full traceability and audit logs.

“Dot’s AI-powered solutions have revolutionized how we manage compliance, detect fraud, and serve our customers. The speed and accuracy we’ve gained are unmatched, helping us deliver on our promise of innovative and secure banking."

— QNB Finansbank Representative

Why Dot?

Dot unifies AI models, intelligent agents, and seamless app integrations into a single platform, enabling insurers to streamline claims processing, automate compliance, and enhance risk assessment.

Its no-code customization and built-in optimizations empower insurance companies to improve operational efficiency, detect fraud, and accelerate policy management using AI for insurance companies.