Conversational AI for Insurance
Handle first notice of loss, policy questions, and quotes around the clock without exposing policyholder data to third parties.
Self-hosted models and end-to-end encryption mean you keep control of data while delivering instant responses when customers need you most.
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Trusted By Top Insurance Teams
Adopted by leading carriers to automate FNOL and policy servicing with carrier-grade data security and compliance.
Proven reliability at scale, supporting 1M+ concurrent calls and delivering up to 91% cost reduction in routine intake operations.
“Bland reached what took other vendors six months in just a few weeks. The calls sound natural, the hand-offs are seamless, and the ROI is clear.”
— Kin Insurance
— Kin Insurance
Benefits for Insurance Carriers
Top Benefits For Carriers
Reduce Intake Costs and After-Hours Spend
Automated FNOL and routine servicing lower outsourcing and overtime costs. The result is predictable operational expenses and the ability to reallocate budget to complex claims and fraud control.
Keep Data In Your Control
Self-hosted deployment options prevent policyholder data from leaving your environment. Security controls and role-based access ensure governance and auditability both internally and external.
Improve Accuracy and Auditability
Enforced conversation pathways limit responses to approved policy language and create full conversation logs. This reduces disputes and provides an auditable trail for compliance and QA teams.
Know the Why
Why Traditional Channels Fail Claims And Servicing
Voicemail and IVRs Lose Customers and Trust
Long hold times and rigid menus frustrate policyholders, especially during emergencies. Replacing voicemail with immediate intake improves customer confidence and prevents claim leakage when response timing is critical.
Third-Party AI Risks Data Exposure
Using external AI providers can push policyholder data outside your control. Self-hosted models keep data in your infrastructure so you meet internal governance and regulatory expectations without sacrificing AI capabilities.
Inaccurate Policy Answers Create Liability
Generic chatbots can give incorrect coverage details that increase disputes and manual corrections. Enforcing Bland’s “Automatic Learning” feature helps eliminate misinformation and mistakes indefinitely.
Scale Without Hiring Means Predictable Operations
Handling seasonal spikes with contractors or overtime creates variability and cost. Automating routine intake and status inquiries produces consistent response times and frees staff for complex decisions.
Conversational AI for Insurance Use Cases
Use cases that actually help you
Claims Intake and FNOL
Automate initial claim reporting for auto, home, and property with guided data capture, photo uploads, and document prompts. This reduces adjuster backlog, speeds triage, and gives policyholders immediate reassurance when they need it most.
Policy Inquiries and Servicing
Provide accurate coverage clarifications, deliver declaration pages, and handle beneficiary or address updates without hold times. The result is fewer escalations and higher first-contact resolution for routine servicing calls.
Quote Generation and Sales
Capture leads and generate qualifying quotes after hours with a policy-aware bot that assesses needs, compares options, and schedules agent follow up when necessary. This helps you capture demand you otherwise miss outside business hours.
Premium Billing and Payments
Send payment reminders, enable autopay enrollment, and process payments through secure flows. That reduces past due balances and decreases collections work by automating simple transactions.
Catastrophe Readiness and Scale
Handle spikes of up to 1 million concurrent calls during disasters with zero hold time. Catastrophe-ready capacity protects brand reputation and ensures the right information is captured immediately for faster recoveries.
We take security seriously
Security, Compliance, and Data Ownership
Self-Hosted Models Protect Policyholder Data
Host models on your infrastructure so sensitive information never leaves your environment. This architecture supports your security policies and reduces regulatory risk by eliminating third-party data exposure.
Certifications and Standards Alignment
SOC2 Type II and GDPR readiness demonstrate operational discipline for data handling. We align with NAIC guidance and run regular security testing so compliance evidence is available for audits and regulators.
End-To-End Encryption and Access Controls
All conversations are encrypted at rest and in transit and access is role-based. This ensures only authorized personnel can view logs and supports your retention and data minimization policies.
Conversational Pathways For Policy Accuracy
Map and lock every conversation step so agents return only approved policy language. That eliminates the chance of misrepresentation and provides an auditable trail for each interaction.
Request Security Briefing
Trust and Compliance
Proof, Trust, and Compliance
Stability you can stake KPIs on
Teams rely on Bland because the system behaves the same way every time. Uptime, latency, and call quality stay predictable, helping you pass audits, meet SLAs, and scale safely.
Security and data controls
Self-hosted deployment keeps PII on your infrastructure and reduces third-party exposure. This simplifies audits and meets carrier requirements for data sovereignty.
Compliance posture
Support for region specific privacy controls and audit logs is standard. That helps you meet regulatory obligations while deploying conversational automation.
Proof from people who’ve done it
Hear directly from teams running Bland in production at scale. Their results, validate reliability, uptime, and real-world performance so your team has confidence to move forward.
Support for you
Integrations, Deployment, and Support
Policy and Claims System Integration
Connect to policy administration and claims management systems for real-time verification and to update records. Tight integration reduces manual reconciliation and accelerates claims handling.
CRM, Payment, and Quoting Engine Connectivity
Log interactions to your CRM, process premiums, and call rating engines to deliver live quote estimates. This creates smoother bind flows and better lead capture for sales teams.
Forward-Deployed Engineers and Rapid Build
Work with engineers who understand insurance workflows to build production agents in weeks. Forward-deployed support and hands on deployment reduce internal ramp time to sub 30 days to achieve ROI fast.
Custom Voice and Brand Alignment
Deploy on dedicated GPUs and servers with multi-region options so customer data stays in jurisdiction. This lowers regulatory risk and simplifies data residency mandates.
Automatic Learning For Continuous Improvements
Clone a carrier voice that sounds professional and empathetic so interactions reflect your brand. Voice customization preserves tone and improves customer comfort during sensitive claims conversations.
Benefits for Insurance Carriers
Outcomes, Savings, and Operational Impact
Cost Reduction
A typical implementation replaces high-volume intake tasks and reduces processing costs by up to 91 percent for routine calls. That frees budget to invest in complex claim investigations and fraud detection.
Time Saved For Staff
Automating routine status checks and intake reduces manual handling time so adjusters and agents focus on high value work. Staff report faster decision cycles and less burnout when low value tasks are removed.
Higher Customer Satisfaction and Retention
Immediate, accurate responses increase customer confidence and reduce complaint rates. The result is improved NPS and lower churn because policyholders experience consistent service quality 24/7.
“Good customer support was a non-negotiable for us as a company, and Bland enabled us to deliver a white glove experience to thousands of clients.”
— Chief Executive Officer, Slash
— Chief Executive Officer, Slash
“Without Bland, we simply couldn’t have achieved this high quality of service at our call volume. Bland has enabled us to scale operations by 25% right out of the gate.”
— VP of Technology Development, MonsterRG
— VP of Technology Development, MonsterRG
Frequently Asked Questions about Conversational AI for Insurance
How Does Self-Hosting Protect Policyholder Data
Self-hosting keeps models and conversation data within your infrastructure so no policyholder information is shared with third-party AI providers. This reduces regulatory exposure and supports your internal encryptions and access control policies for audit readiness.
What Compliance Standards Do You Support
We operate under SOC2 Type II controls and provide GDPR ready processes. Alignments to NAIC guidance are part of our standard compliance offering and we provide documentation and testing evidence during security reviews.
Can the AI Provide Accurate Policy Answers
Conversational Pathways map permitted responses and enforce policy language so the agent returns only approved information. This decreases the risk of misrepresentation and creates auditable trails for every answer provided to a policyholder.
How Quickly Can Insurance Agents Be Deployed
With forward-deployed engineers you can deliver a production-ready agent in weeks rather than months. We focus on core intake flows first to deliver immediate operational improvements and measurable ROI during the first month.
How Does the System Handle Catastrophe Call Spikes
The platform supports catastrophe-grade scaling to handle very large concurrent call volumes with no increase in hold times. This preserves customer service continuity and ensures intake data is captured accurately during high demand events.
Will Conversational AI Replace Adjusters Or Underwriters
AI automates routine intake and status inquiries so staff can focus on complex judgment tasks. It augments human teams rather than replacing them and reduces repetitive work that contributes to burnout.
What Integrations Are Required For Full Functionality
Core connections include policy admin, claims management, CRM, and payment systems. These integrations enable real-time verification, status updates, and seamless routing to human agents when escalation is needed.
How Do You Measure Success For Insurance Deployments
Success metrics include reduced handling cost, decreased average handle time for routine tasks, faster FNOL processing, and higher first contact resolution. At the end of the day, ROI is defined by you and your team - and we optimize for how we can reach it.