CBOT brings Voice AI, Generative AI, Agentic AI, local models, Digital Employees, and human collaboration into the complete insurance and pension relationship.
From the first policy question to a claim, renewal, service request, or approved operational action, CBOT connects AI with the knowledge, systems, people, and controls required by regulated insurance organizations. Every interaction connected to the policy, process, and decision behind it.
TRUSTED IN INSURANCE
Selected organizations working with CBOT across customer service, claims, digital channels, Voice AI, employee support, Generative AI, and enterprise transformation.
Selected insurance and private-pension references. Solution scope varies by organization.
Not every insurance organization begins at the same AI maturity level. CBOT supports a structured transformation from high-volume automation to decision support and specialized Agentic AI Digital Employees.
AI handles repeatable activities: FAQs, policy & contract information, claim-status inquiries, call summaries, document reading, service-provider information, application-status inquiries, standard request creation, notifications. Value: faster service, higher self-service, lower repetitive workload, shorter waits.
AI helps employees decide faster and more consistently: underwriting support, claims-evaluation support, renewal support, risk signals, fraud-pattern indicators, objection analysis, retention and next-best-action recommendations, procedure guidance. Value: better decisions, faster access, greater consistency, stronger productivity.
Specialized Digital Employees receive goals, retrieve approved context, communicate with systems, initiate workflows, request human approval, execute permitted actions, track progress, and record outcomes. Value: end-to-end process ownership, faster execution, connected journeys, scalable digital workforces.
Agentic AI is not the next version of the chatbot. It is an authority architecture for work.
Select a business area to see how customer conversations, enterprise knowledge, systems, workflows, and human teams work together, across service, sales, claims, underwriting, renewal, private pensions, and employee operations.
One regulated platform. Many specialized insurance journeys.
DIGITAL EMPLOYEE FOR CLAIMS
A claim is not one interaction. It is a connected process involving the policyholder, policy data, incident information, documents, service organizations, claims teams, adjusters, business rules, and continuous customer communication. GÜVEN brings these steps together as a specialized Agentic AI Digital Employee.
Supports direct claim notification from the policyholder.
Supports claim information received through approved repair or service organizations.
Receives required files and checks whether the configured document set is complete.
Identifies missing, inconsistent, or incomplete information and requests the next required input.
Supports configured preliminary evaluations, reserve-related preparation, and adjuster or specialist routing.
GÜVEN CAN SUPPORT
From first notification to a prepared claims file, one connected digital workforce.
Internal percentage targets are not published as outcomes unless supported by approved production results and a clearly defined scope.
Insurance customers may begin through a phone call, continue through mobile or messaging, upload a document, and complete the process with a human specialist. CBOT preserves the available conversation, customer, policy, and process context throughout the journey.
VOICE AI
DIGITAL AI
HUMAN COLLABORATION, PASSED ON HANDOVER
The channel can change. The insurance relationship should not restart.
CBOT can support sales, onboarding, customer-service, claims, agency, and operational employees with Generative AI connected to approved enterprise information.
SALES & ONBOARDING SPECIALIST
CUSTOMER SALES SUPPORT
CUSTOMER BEHAVIOR ANALYSIS
CONTACT-CENTER REPRESENTATIVE
AI provides support, recommendations, and context. Qualified employees remain responsible for regulated advice, sensitive customer decisions, and final approval where required.
Better-informed employees create faster, clearer, and more trusted customer experiences.
AI FOR LONG-TERM FINANCIAL RELATIONSHIPS
Private-pension relationships continue over many years. Customers need clear information about contracts, contributions, collections, funds, requests, and retirement processes without navigating complex terminology or fragmented service channels. CBOT AI Agents can connect customer questions with approved pension information, operational workflows, and qualified human advisors.
CUSTOMER JOURNEYS
PROACTIVE JOURNEYS (CONSENT & REGULATION)
CBOT does not imply that a general AI Agent provides unrestricted financial advice. Where suitability, personalized investment advice, or a regulated recommendation is required, the customer is routed to the qualified human role with the available context preserved.
Make complex pension information easier to access without weakening the controls around financial advice.
BUILT FOR REGULATED INSURANCE
Insurance AI must operate inside clear boundaries for data, decisions, actions, models, permissions, and human accountability. CBOT embeds these controls throughout the AI lifecycle.
DETERMINISTIC LOGIC
PROPRIETARY NLP & NLU
LANGUAGE MODELS
HUMAN OVERSIGHT
GOVERNANCE CAPABILITIES
Use autonomy where it creates value. Preserve human authority where insurance requires judgment.
Insurance data may include health, financial, policy, claims, identity, payment, image, and document information. CBOT supports multiple model and deployment approaches according to the institution's requirements.
SUPPORTED MODEL STRATEGY
FULL-STACK ON-PREMISE OPTIONS
No mandatory external AI dependency between sensitive insurance data and the final outcome.
Usage is not impact. Insurance AI initiatives should be measured through operational, financial, customer, organizational, and strategic outcomes.
OPERATIONAL
FINANCIAL
CUSTOMER EXPERIENCE
ORGANIZATIONAL
STRATEGIC
Real results are used only when supported by an approved source, defined use case, measurement period, and customer-publication permission.
AI projects should be managed through business KPIs, not technology activity alone.
INSURANCE AI IN PRODUCTION
Explore how insurance and private-pension organizations use CBOT to improve customer service, claims, voice operations, omnichannel journeys, employee support, onboarding, and enterprise knowledge.
A named customer logo is not connected with a specific solution, project, architecture, or result unless that relationship is approved for public communication. Where project details are confidential, anonymized language is used.
A leading insurance organization
A global insurance group
A leading life & pension organization
CBOT can connect with approved insurance, pension, CRM, contact-center, document, identity, payment, case-management, workflow, and enterprise-knowledge environments.
Transform the AI layer without rebuilding the insurance systems behind it.
CBOT supports customer service, claims, Voice AI, digital journeys, onboarding, sales support, underwriting decision support, renewals, employee assistance, contact-center operations, quality management, and Agentic AI workflows.
Yes. CBOT can support contract information, contribution and collection inquiries, account information, approved fund information, retirement-process guidance, document collection, service requests, proactive communication, and human advisor routing.
CBOT can support property and casualty, motor, health, life, private pensions, assistance, bancassurance, and other insurance operations according to project scope and available integrations.
No. CBOT provides an enterprise AI platform combining Voice AI, messaging, Agentic AI, local models, Digital Employees, enterprise knowledge, workflow execution, human-agent assistance, analytics, governance, and private deployment.
GÜVEN is CBOT's Claims Expert Digital Employee. GÜVEN can coordinate claim notification, policy verification, information collection, document intake, completeness checks, file initiation, status communication, and human claims-team collaboration.
Eligible steps may be automated only where the insurer's business rules, permissions, risk limits, integrations, and approval model allow it. Sensitive or exceptional decisions remain subject to qualified human review.
CBOT can support underwriters with document review, information retrieval, risk indicators, rule and policy access, recommendation preparation, and case summarization. The qualified underwriter remains responsible for regulated decisions and final approval.
Yes. Depending on the selected architecture and models, CBOT can receive documents and images, extract configured information, check completeness, and support document or image review. Human validation should be used where accuracy, risk, or regulation requires it.
Yes. Voice AI Agents can support policy inquiries, claim notification, claim status, renewals, service-provider searches, application follow-up, customer notifications, and intelligent routing.
Yes. Available conversation history, policy context, collected information, documents, workflow state, and handover information can continue across supported channels.
Yes. CBOT can support sales, claims, contact-center, agency, operational, HR, and IT teams through enterprise knowledge, suggested responses, workflow assistance, summaries, training, and role-based guidance.
Yes. CBOT can connect with approved policy, claims, CRM, pension, contact-center, payment, identity, document, case-management, and private enterprise systems.
Yes. Supported model inference, speech services, RAG, vector storage, AI Agent runtime, Live Chat, analytics, enterprise knowledge, and integrations can operate within private-cloud, hybrid, and fully on-premise environments.
CBOT combines permissions, deterministic logic, model and tool controls, business rules, risk thresholds, human approvals, action traces, audit logs, versioning, and private deployment.
Insurance AI should be measured through operational, financial, customer-experience, organizational, and strategic outcomes rather than through usage counts alone.
Yes. CBOT can support assistance organizations and bancassurance journeys across customer service, claims, routing, and human collaboration according to project scope and approved integrations.
Yes. AI Agents can provide approved guidance on eligibility and process steps, collect required information, and route the customer to a qualified human advisor where regulated advice is required.
THE NEXT INSURANCE OPERATING MODEL
Bring Voice AI, Generative AI, Agentic AI, claims Digital Employees, private-pension journeys, employee assistance, enterprise systems, and governed decision support into one production-ready strategy. Work with the AI partner already trusted across leading local and global insurance organizations.