Industry

AI use cases in insurance

The most documented AI use cases in insurance are claims triage and STP, claims fraud detection and photo damage assessment, across 123 public deployments by 110 organizations. Life, health, property and casualty insurers and brokers: distribution, underwriting, claims, fraud and policy servicing.

Use cases
50
Deployments
123
Organizations
110
Outcome disclosed
54%

The 10 most common AI use cases in insurance

Ranked by the number of insurance organizations with a public deployment, as of 11 November 2026.

  1. 1
    AI for claims triage and straight through processing

    Claims triage and straight through processing is AI that reads each new insurance claim and its documents and scores its complexity, cover questions, fraud and recovery signals.

    12 organizations
    about 55% automation rate
    one deployment, organization claim
  2. 2
    AI for insurance claims fraud detection

    Claims fraud detection is AI that scores every insurance claim for fraud from first notice of loss onwards, combining claim, policy, document, image and network data.

    12 organizations
  3. 3
    AI for photo based damage assessment in insurance claims

    Photo based damage assessment is computer vision that assesses vehicle or property damage from photos or video for an insurance claim.

    12 organizations
    95% accuracy
    one deployment, organization claim
  4. 4
    AI copilot for insurance pricing and actuarial analysis

    An insurance pricing and actuarial copilot is AI that speeds up the work of pricing and actuarial teams, from risk and demand model building to natural language analysis of data.

    9 organizations
    5x productivity gain
    one deployment, organization claim
  5. 5
    AI for commercial underwriting submission intake and triage

    AI that reads incoming broker submissions for commercial insurance so underwriters open a complete, prioritized file instead of an inbox.

    9 organizations
    about 98% accuracy
    one deployment, organization claim
  6. 6
    AI copilot for underwriting risk assessment

    An underwriting risk assessment copilot is an AI tool that assembles everything relevant to a risk, such as the submission, loss history and underwriting guidelines, for an insurance underwriter.

    8 organizations
    50% cycle time reduction
    one deployment, vendor claim
  7. 7
    AI agent for first notice of loss claims intake

    A first notice of loss agent is an AI agent that takes the first notice of loss from a policyholder by phone, chat or app.

    7 organizations
    90% accuracy
    one deployment, vendor claim
  8. 8
    AI agent for insurance policy servicing

    An insurance policy servicing agent is AI that answers policyholders' coverage questions from their own policy documents and completes routine policy changes and document requests across chat, messaging and phone.

    6 organizations
    at least 50% containment rate
    one deployment, organization claim
  9. 9
    AI assistant for insurance brokers and agents

    An insurance broker and agent assistant is AI that answers product, underwriting and process questions for tied agents, independent brokers, advisors and insurers' own distribution staff from approved sources.

    5 organizations
  10. 10
    AI for inbound correspondence triage and routing

    AI correspondence triage and routing is AI that sorts inbound letters, emails, uploads and secure messages before anyone answers them, so each one reaches the right team.

    5 organizations
    95% accuracy
    one deployment, vendor claim

50 Insurance use cases

110 organizations in 31 countries run these use cases in public. 54% of those 123 deployments disclose a measurable outcome.

Insurance

AI aerial imagery risk scoring for property insurance underwriting

AI property risk scoring reads aerial imagery to rate roof condition, wildfire exposure and other building features at quote, so underwriters inspect fewer homes. It turns an address into a score and a set of flags that feed the insurer's eligibility, inspection and pricing rules, and the underwriter or the rules engine keeps the decision.

Deployments
4 public, best grade C
Reported accuracy
at least 95%
Florida Peninsula Insurance Company, organization claim
Cross industryBanking

AI agent for complaints recognition, investigation and response

An AI agent that recognizes, investigates and drafts a response to a customer complaint for a human handler to approve. It logs the complaint against the regulatory definition, classifies its root cause and severity, gathers the evidence, drafts the acknowledgement and the response, and tracks every statutory deadline until the case is closed.

Deployments
8 public, best grade B
Reported time saved per task
about 7 minutes
Yorkshire Building Society, vendor claim
Insurance

AI agent for first notice of loss claims intake

A first notice of loss agent is an AI agent that takes the first notice of loss from a policyholder by phone, chat or app. It identifies the policy, collects the facts of the incident and the evidence the claim type needs, opens the claim in the claims system, tells the customer what happens next, and hands complex, injured or vulnerable claimants to a human handler.

Deployments
7 public, best grade B
Reported accuracy
90%
DOMCURA, vendor claim
Insurance

AI agent for insurance policy servicing

An insurance policy servicing agent is AI that answers policyholders' coverage questions from their own policy documents and completes routine policy changes and document requests across chat, messaging and phone. Examples include address and vehicle changes, adding a named driver or item, payment method updates, and certificates and proof of cover, and it hands anything complex or sensitive to a human with the context.

Deployments
6 public, best grade B
Reported containment rate
at least 50%
Lemonade, organization claim
InsuranceTravel and hospitality

AI agent for travel insurance claims and assistance

A travel insurance claims and assistance agent is an AI agent that helps insured travelers with claims and assistance around the clock, in their own language. It answers cover questions, takes claims for delays, cancellations, lost baggage and medical costs, reads the receipts and certificates travelers upload, settles simple claims within set limits, and connects medical emergencies and complex cases to the assistance team at once.

Deployments
2 public, best grade B
Reported automation rate
up to 70%
Allianz Partners, organization claim
Insurance

AI assistant for insurance brokers and agents

An insurance broker and agent assistant is AI that answers product, underwriting and process questions for tied agents, independent brokers, advisors and insurers' own distribution staff from approved sources. It also prepares personalized customer engagement and follow ups, validates and prioritizes leads, and drafts meeting notes and emails, so producers spend more time with customers.

Deployments
5 public, best grade B
Autonomy
Assist
BankingWealth and asset management

AI assistant for Shariah compliance screening and review

AI Shariah compliance screening is an AI assistant that checks Islamic financing contracts, deal structures and investments for Shariah compliance risks such as riba and gharar, for compliance teams. It also flags exposure to prohibited activities, retrieves the relevant standards and fatwas, and drafts the Shariah review documentation. The Shariah board keeps sole authority over any ruling.

Deployments
2 public, best grade B
Autonomy
Copilot
Cross industryInsurance

AI avatar and translated video for corporate communications and marketing

AI avatar video turns a script or an existing recording into a presenter video in many languages, for executive updates, product education and marketing. Communications and marketing teams review the script and the translation, then publish, instead of booking talent, a studio and a voice artist again each time a line or a language changes.

Deployments
9 public, best grade C
Median cycle time reduction, vendor reported
50%
3 deployments
Insurance

AI copilot for insurance pricing and actuarial analysis

An insurance pricing and actuarial copilot is AI that speeds up the work of pricing and actuarial teams, from risk and demand model building to natural language analysis of data. It builds automated, transparent risk and demand models and analyzes rate filings, experience data and reserving diagnostics, while actuaries select the models, sign off the rates and own the professional judgment.

Deployments
9 public, best grade B
Reported productivity gain
5x
Generali France, organization claim
Cross industryBanking

AI copilot for marketing content with compliance pre review

AI marketing content and compliance copilot drafts campaign copy and checks it against advertising rules before a human approves it for publication. It writes campaign copy, product explainers and social posts on brand and in the customer's language from approved product facts, then runs a first pass compliance check against advertising rules and required disclosures, flagging unsupported claims and missing warnings before a human in marketing compliance approves publication.

Deployments
6 public, best grade B
Reported productivity gain
34%
Ally Financial, organization claim
BankingInsurance

AI copilot for model risk validation and monitoring

AI model risk validation is a copilot that supports independent review of a bank's models, used by a validation function, an external tester or a supervisor. It checks model documentation against the model risk standard, generates and scores challenger tests (for generative AI, often with an LLM as a judge calibrated against human experts), watches production models for drift, and drafts and consistency checks the validation report. An accountable validator owns every conclusion.

Deployments
3 public, best grade B
Autonomy
Copilot
Insurance

AI copilot for underwriting risk assessment

An underwriting risk assessment copilot is an AI tool that assembles everything relevant to a risk, such as the submission, loss history and underwriting guidelines, for an insurance underwriter. It also gathers third party data and public information, highlights exposures and gaps against the insurer's underwriting guidelines, and drafts the underwriting narrative or referral note, while the underwriter makes and signs every decision.

Deployments
8 public, best grade B
Reported cycle time reduction
50%
Generali Global Corporate & Commercial, vendor claim
BankingInsurance

AI digital human guide for banks and insurers

A digital human guide is an AI agent with a lifelike face and voice that answers a bank's or insurer's product and service questions and passes complex cases to staff. It appears on a website, in an app, on a kiosk or on a screen in an advisor meeting, speaks with the customer in real time and answers from the institution's approved content.

Deployments
10 public, best grade B
Reported accuracy
94.5%
Ajman Bank, vendor claim
Cross industryBanking

AI enterprise knowledge search for employees

Enterprise knowledge search is an AI assistant that lets any employee ask a question in plain language and get a synthesized answer from the organization's own documents. It draws the answer from policies, procedures, product manuals and research, with citations to the source documents, and only from documents the employee is allowed to see.

Deployments
20 public, best grade B
Median employee adoption
90%
5 deployments
BankingInsurance

AI for back office account servicing execution

AI account servicing execution is AI that reads and acts on servicing requests landing in operations queues, such as address or beneficiary changes, for back office staff. It checks each request against policy and entitlements, then prepares or makes the change, such as mandate changes, standing instructions, reissues, payoff and reference letters and loan maintenance, in core systems under dual control.

Deployments
3 public, best grade B
Reported cycle time reduction
95%
SS&C Technologies, vendor claim
Cross industryInsurance

AI for board and committee paper summarization

An AI assistant that reads board and committee papers before a meeting and gives each director a short, cited briefing. The briefing covers what changed since last time, the decisions being asked of the board, the risks flagged and the open questions worth raising, with page references back to the source pack.

Deployments
3 public, best grade C
Autonomy
Assist
Insurance

AI for catastrophe and exposure assessment in insurance

AI catastrophe exposure assessment is AI that turns satellite and geospatial data into a fast, portfolio wide view of which policies and properties are exposed to a catastrophe. It covers before and immediately after the event, so exposure managers and claims teams can quantify the loss, prioritize response and reach affected customers first, without waiting for ground surveys.

Deployments
4 public, best grade B
Autonomy
Assist
Insurance

AI for claims triage and straight through processing

Claims triage and straight through processing is AI that reads each new insurance claim and its documents and scores its complexity, cover questions, fraud and recovery signals. It sends each claim to the right handling path and handler, and settles simple, low risk claims end to end within set limits without a person touching them.

Deployments
12 public, best grade B
Reported automation rate
about 55%
Lemonade, organization claim
Insurance

AI for commercial underwriting submission intake and triage

AI that reads incoming broker submissions for commercial insurance so underwriters open a complete, prioritized file instead of an inbox. It reads emails, applications, schedules of values, loss runs and supplements, extracts the risk data into a structured record, checks clearance and appetite, and enriches and ranks the risk with internal and third party data.

Deployments
9 public, best grade B
Reported accuracy
about 98%
Paragon Insurance Group, organization claim
Cross industryTechnology and software

AI for compensation governance and pay equity analysis

AI that checks an organization's pay decisions for unexplained gaps by gender, race or other protected characteristics. It statistically analyzes pay data, and at the point a recruiter or manager sets a starting salary, a raise or a promotion increase, it checks the proposed number against pay bands and equity rules and flags a decision before it creates a new gap, instead of finding it in next year's audit.

Deployments
9 public, best grade C
Reported cost reduction
25%
Elevance Health, vendor claim
Cross industryBanking

AI for complaints root cause and systemic issue analysis

AI complaints root cause analysis reads the free text of complaints across all channels and clusters it into themes to find the systemic causes behind them. It separates systemic causes from one off events, links each theme to the product, process or control behind it, and routes the insight to the owner who can fix it. A human validates every root cause and every remediation.

Deployments
3 public, best grade B
Autonomy
Copilot
Cross industryBanking

AI for continuous controls testing and control self assessment

AI continuous controls testing checks every transaction or record against a control's rule instead of a periodic sample, giving continuous, full population assurance. It collects evidence from source systems, maps each artifact to the control it supports, flags exceptions for a human to judge, and prepares the risk and control self assessment from incident and loss data for the business to review.

Deployments
3 public, best grade B
Autonomy
Supervised agent
Cross industryBanking

AI for drafting customer letters and outbound notices

AI for outbound notice drafting writes the letters and notices operations must send at scale, such as arrears notices or decline letters. It also covers complaint responses, servicing confirmations and product change notices, from case data and approved templates and clauses, in the customer's language, for a person to approve where the notice is regulated.

Deployments
6 public, best grade B
Reported cycle time reduction
25%
SS&C GIDS and RS, vendor claim
InsuranceHealthcare

AI for health insurance prior authorization and claims adjudication support

AI for health insurance prior authorization and claims adjudication reads prior authorization requests, medical claims and appeals, and prepares a summary and recommendation for a clinician or adjudicator. It works from the clinical and billing documents attached to each case, extracts diagnoses, treatments and costs, and checks them against the policy and published clinical criteria, while the clinician or adjudicator makes every adverse decision.

Deployments
6 public, best grade B
Median handling time reduction, vendor reported
50%
3 deployments

Free PDF playbook

AI use cases in insurance: the playbook

50 use cases with deployments, value, playbooks and governance, in one document for your team.

What the evidence says

Computed from the 123 public deployments behind these use cases at insurance organizations. Numbers update with every checked record.

Benchmarks with at least 3 pooled values

Benchmarks across Insurance use cases
KPIMedianReported rangeData pointsClaimed by
Accuracy95%
80% to 98%
84 organization, 4 vendor
Automation rate79.5%
45% to 100%
Not pooled: up to 70%
6plus 1 up to3 organization, 3 vendor
Cycle time reduction50%
50% to 80%
43 organization, 1 vendor
Handling time reduction50% vendor reported
20% to 54%
44 vendor
Containment rate65%
30% to 96%
32 organization, 1 vendor
Deployments by stage
  • Announced
    10
  • Pilot
    4
  • Production
    87
  • Scaled
    22
Public deployments by region
  • North America
    46
  • Europe
    42
  • Asia Pacific
    20
  • Global
    7
  • Latin America
    4
  • Africa
    2
  • Middle East
    2

Organizations with a public deployment

  • AIA Group
  • AOK PLUS
  • AXA Spain
  • AXA Switzerland
  • AXIS Capital
  • Accelerant Holdings
  • Admiral Seguros
  • AdvanceCare
  • Ageas UK
  • Aksigorta
  • Allianz
  • Allianz Partners
  • American International Group
  • American National Insurance
  • Arch Capital Group
  • Assurant
  • At-Bay
  • Aviva
  • Aésio Mutuelle
  • Bowhead Specialty
  • Brit
  • CNA Financial
  • CSAA Insurance Group
  • CURE Auto Insurance
  • CZ
  • California FAIR Plan Association
  • Canal Insurance Company
  • Canopius Group
  • Central Insurance
  • Coalition
  • Covéa
  • Cowbell
  • DOMCURA
  • Definity
  • Descartes Underwriting
  • ERGO Group
  • Ecclesia Group
  • Elephant Insurance
  • Elevance Health
  • Encova Insurance
  • Europ Assistance
  • Florida Peninsula Insurance Company
  • Foyer
  • GNP Seguros
  • Gallagher Bassett
  • General Insurance Association of Singapore
  • Generali France
  • Generali Global Corporate & Commercial
  • Generali Italia
  • Gjensidige
  • GoHealth
  • Heritage Insurance Holdings
  • Hippo
  • Hiscox
  • Humana
  • ICICI Lombard
  • Insurance Australia Group
  • Irish Life
  • JAGADIRI
  • Jubilee Holdings
  • Kin Insurance
  • Kinsale Capital Group
  • LAQO
  • Lemonade
  • Liberty Mutual
  • Loadsure
  • MAG Seguros
  • MAIF
  • MAPFRE
  • Manulife
  • Markel
  • Merkur Versicherung AG
  • NN Group
  • Nsure.com
  • Ohio Mutual Insurance Group
  • Old Mutual General Insurance
  • PZU
  • Paragon Insurance Group
  • Ping An Insurance (Group) Company of China
  • Plymouth Rock Assurance
  • Porto Seguro
  • Progressive
  • Prudential plc
  • QBE Insurance Group
  • SBLI
  • SIGNAL IDUNA
  • Security First Insurance
  • Sedgwick
  • Shelter Insurance
  • Skyward Specialty Insurance Group
  • Sompo Japan
  • Sompo Japan Insurance
  • Sukoon Insurance
  • Sun Life
  • Suncorp Group
  • Tawuniya (Company for Cooperative Insurance)
  • The Salvation Army General Insurance Corporation Limited (Sagic)
  • Tokio Marine & Nichido Fire Insurance
  • Travelers
  • Tuio
  • VitalityHealth
  • Wakam
  • Warta
  • Waterdrop
  • ZhongAn Online P&C Insurance
  • Zurich Australia
  • Zurich Insurance (Hong Kong)
  • Zurich Insurance Group
  • Zurich North America
  • nib Group

The same use cases in other industries

181 public deployments at 152 organizations outside insurance run these use cases too. They are not counted in the numbers above; each use case page shows them.

Other industries

Frequently asked questions

What are the most common AI use cases in insurance?
Counted by insurance organizations with a public deployment, the most common are AI for claims triage and straight through processing (12 organizations), AI for insurance claims fraud detection (12 organizations), AI for photo based damage assessment in insurance claims (12 organizations), AI copilot for insurance pricing and actuarial analysis (9 organizations) and AI for commercial underwriting submission intake and triage (9 organizations). The library documents 50 AI use cases in insurance, 34 of them with a public deployment: 123 deployments by 110 organizations in 31 countries.
How many of these AI deployments are live in production?
109 of the 123 public deployments are live: 87 in production and 22 scaled across the organization. 4 are pilots and 10 are announced.
Which AI use cases in insurance are high risk under the EU AI Act?
2 use cases fall in the high risk tier: AI quality and compliance monitoring of every customer interaction and AI summarization of medical evidence for life and health underwriting. For 22 other use cases the tier depends on design, for example whether the system decides on access to an essential service. Each use case page explains its tier and what it requires. This is not legal advice.
Where do these numbers come from?
From the Blits.ai AI Use Case Library. Every deployment is a public record of a named organization with a cited source, and every number is computed from those records. Data as of 11 November 2026.