Insurance claims automation that passes security review on day one
AI phone agents capture FNOL details in natural conversation and write structured data straight into your claims system. Live in 30 days.
What is insurance claims automation?
Bland powers insurance claims automation by replacing manual FNOL intake and status-update calls with AI phone agents that capture structured claims data, verify policy details, and write outcomes into claims management systems in real time. Unlike rigid IVR menus, the agents hold natural multi-turn conversations with sub-second responses, handling interruptions, accents, and more than 40 languages. Every call runs on self-hosted infrastructure with SOC 2 Type II, HIPAA, and PCI DSS compliance, so carriers pass security review without custom engineering.
Why carriers choose Bland for claims automation
One platform, not a fragile stack
Bland handles FNOL capture, status updates, and adjuster handoffs on one self-hosted platform, with no third-party speech vendors to assess or middleware to babysit.
Compliance built in, not bolted on
Bland holds SOC 2 Type I and II, HIPAA, and PCI DSS certifications, and every call is logged in tamper-resistant audit trails.
Structured data into your claims system
Bland reads policy data during the call and writes incident details, claimant information, and notes back the moment it ends, so adjusters start with verified information.
Production FNOL agents in 30 days
Bland builds the first agent end to end and validates edge cases against scenario suites before live traffic; Kin Insurance reached production-level performance in 3-4 weeks.
From FNOL to settlement: the automated claims lifecycle
Bland powers the phone layer at every stage, with your claims system as the source of truth.
FNOL intake
Bland answers every first-notice-of-loss call 24/7, capturing policy numbers, incident details, and claimant information in natural conversation.
Data validation
Bland reads coverage and eligibility from your claims platform during the call and writes structured, verified fields back with zero manual entry.
Status updates and handoff
Bland answers claim-progress questions autonomously and transfers complex cases to adjusters with the full transcript and context attached.
Compliance monitoring
Bland logs every disclosure and captured field in tamper-resistant audit trails, with redaction and configurable retention for sensitive data.
Settlement follow-up
Bland runs outbound at scale to confirm settlement details and close claims, with calling windows and consent rules enforced automatically.
What carriers gain from voice-first claims automation
Faster claims cycles
Adjusters start with complete, structured intake data instead of triaging voicemails, so claims move the day they arrive.
Lower cost per claim call
Routine FNOL and status calls resolve end to end, and human capacity goes to judgment calls instead of data entry.
Cleaner data, flagged anomalies
Every field is captured consistently and suspicious patterns escalate to your fraud team with the call attached.
Catastrophe-scale capacity
Bland scales to up to one million simultaneous calls, so hurricane and wildfire surges stop overwhelming intake lines.
A better claimant experience
No hold queue at the worst moment of a policyholder’s year: calls answer instantly, in their language, around the clock.
Built to pass security, procurement, and legal on day one
Bland owns the entire voice stack and runs it on dedicated infrastructure, so claims data never passes through a third-party AI vendor. Every disclosure and captured field is logged in tamper-resistant audit trails, with redaction and configurable retention.
How enterprise carriers deploy Bland for claims automation
Bland builds your first FNOL agent end to end, so onboarding is measured in weeks, not quarters.
Scope
Map the FNOL flow, the claims-system integration points, and the compliance checkpoints to enforce.
Build
The agent, integrations, and guardrails are built end to end and reviewed in staging.
Test
Scenario suites and back-tests against historical calls validate edge cases before any claimant reaches the agent.
Go live
A small share of real calls routes to the agent first, then scales with zero-downtime deploys.
Built for claim volume, proven in insurance
Calls handled across the Bland platform every day, with capacity for up to one million simultaneous calls when catastrophe volume hits.
Over 250 enterprises run on Bland across insurance, financial services, and healthcare, including Kin Insurance and Mutual of Omaha. See customer stories.
How Bland integrates with your claims stack
Agents read policy and coverage data via API during the call and write structured claim details back the moment it ends, with outcomes syncing to systems like Salesforce and HubSpot. Teams on Amazon Connect layer Bland into existing call flows.
Insurance claims automation: what carriers ask
Yes. Bland supports over 40 languages with live translation across 23 of them, and the models are built for interruptions, accents, and messy real-world speech. Agents can switch languages mid-call, so claimants report a loss in the language they think in.
Agents read policy and coverage data via API during the call and write structured incident details, claimant information, and notes back the moment the call ends. Outcomes and transcripts also sync to systems like Salesforce and HubSpot, with webhooks covering custom platforms.
Bland holds SOC 2 Type I and Type II, HIPAA, PCI DSS, and GDPR certifications, with BAAs available for healthcare-adjacent claims. Every call runs on self-hosted infrastructure with tamper-resistant audit logs, redaction, and configurable retention.
Most deployments go live in 30 days or less, following a four-week arc: scope, build, test, go live. Kin Insurance reached production-level performance in 3 to 4 weeks after six-plus months with a previous vendor.
The agents hold multi-turn conversations that read live claims data, ask clarifying questions, and adapt to out-of-order answers. Most carriers start with FNOL intake and status updates, then expand scope as edge cases are tested, with anything requiring adjuster judgment warm-transferred with context.
Guardrails detect the edge of the agent’s lane and either fall back to a scripted response or warm-transfer to your team with the claimant verified and the loss details already captured. The agent never guesses about coverage.
Yes. Outbound agents confirm settlement details, verify information, and close claims at scale, with results synced to your claims system. During catastrophe surges, outbound capacity scales without hiring.
Calling windows, frequency limits, and consent rules are configurable, do-not-call lists are respected automatically, and required disclosures are read on-script and logged. Every compliance event is queryable for regulatory review.
Automate every claims call.
Talk to our team about your FNOL volumes and the first claims workflow to automate.