94 capabilities mapped

Insurance AI Feasibility

94 AI capabilities across 9 business functions. See where your organization stands.

Last updated: February 2026Data current as of: February 2026

Analysis based on CMC Framework: 730 capabilities, 560+ vendors, 7 industries.

Key Finding

Insurance organizations average CMC L2.5 across 6 infrastructure dimensions. Weakest dimension: Structure at L2.0. 94 AI capabilities mapped across 9 business functions.

Industry Baseline Profile

Average CMC levels across 9 business functions in Insurance.

Baselines represent estimated typical levels for mid-market organizations. See Data Quality for methodology.

Formality
L3
Capture
L3
Structure
L2
Accessibility
L2
Maintenance
L3
Integration
L2

Average Level

L2.5

Strongest

Formality

Weakest

Structure

Functions

9

Deployability Index

0.0%Insurance baseline
0 Ready27 Stretch67 Blocked

Primary bottleneck: Structure

Business Functions

9 functions with mapped CMC baselines and AI capabilities.

Underwriting & Risk Assessment

12 capabilities

F3C3S2A2M3I2

Claims Management & Adjustment

12 capabilities

F3C3S2A2M2I2

Policy Administration & Servicing

10 capabilities

F2C3S2A2M2I2

Actuarial & Pricing

10 capabilities

F3C3S3A2M3I2

Distribution & Agency Management

10 capabilities

F2C2S2A2M2I2

Customer Service & Policyholder Support

10 capabilities

F2C3S2A2M2I2

Compliance & Regulatory Affairs

10 capabilities

F3C3S3A2M3I2

Finance & Accounting

10 capabilities

F3C3S3A2M3I3

Information Technology & Data Management

10 capabilities

F3C3S3A3M3I2

Top AI Capabilities in Insurance

Business Objects

61 business objects across 9 functions. These are the entities, processes, and rules that AI capabilities depend on.

Underwriting & Risk Assessment10 objects

Insurance Application

Entity

The structured submission from an applicant or broker containing risk details, coverage requirements, and exposures for underwriting evaluation.

Risk Score

Entity

The calculated assessment of risk based on application data, third-party enrichment, and predictive models that drives underwriting decisions and pricing.

Property Imagery Assessment

Entity

The computer vision analysis of aerial and street-level imagery showing property characteristics, condition, and risk factors identified through image analysis.

Loss History Report

Entity

The aggregated claims history from CLUE, A-PLUS, or internal databases showing prior losses by type, amount, and date for a risk or insured.

Underwriting Guideline

Rule

The documented rules defining acceptable risk characteristics, required data elements, coverage restrictions, and declination criteria by line of business.

Catastrophe Model Output

Entity

The modeled loss estimates from RMS, AIR, or CoreLogic showing probable maximum loss, loss exceedance curves, and peril-specific exposures.

Telematics Driving Profile

Entity

The behavioral risk profile derived from smartphone or OBD telematics showing driving patterns, trip data, and risk indicators for individual drivers.

Third-Party Data Enrichment

Entity

The external data appended to applications from LexisNexis, Verisk, D&B, or credit bureaus including property characteristics, credit scores, and business data.

Cyber Risk Assessment

Entity

The external security rating and vulnerability assessment from BitSight, SecurityScorecard, or similar showing an organization's cybersecurity posture.

Fraud Alert

Entity

The flagged indicator from fraud detection systems identifying anomalies, inconsistencies, or patterns associated with application fraud before policy issuance.

Claims Management & Adjustment10 objects

Claim Record

Entity

The documented loss event including first notice of loss details, claimant information, coverage, reserves, payments, and disposition status.

Damage Assessment

Entity

The photo or video-based analysis of property or vehicle damage including identified damage, repair estimates, and total loss determination.

Claims Fraud Investigation

Entity

The SIU case record documenting suspected fraud, investigation activities, evidence gathered, and determination for claims with fraud indicators.

Medical Bill

Entity

The provider billing for medical treatment related to an injury claim including procedure codes, charges, provider information, and treatment dates.

Subrogation Opportunity

Entity

The identified recovery potential from third parties at fault in a loss, including liable party, recovery amount, and pursuit status.

Claim Reserve

Entity

The estimated ultimate cost to settle a claim including indemnity and expense components, updated as claim facts develop.

Litigation Case

Entity

The legal proceeding record for claims in litigation including plaintiff attorney, venue, filings, discovery status, and settlement negotiations.

Claims Document

Entity

The unstructured document received during claims handling including police reports, medical records, witness statements, and recorded statements.

Catastrophe Event

Entity

The declared catastrophe with geographic scope, peril type, estimated losses, and claims handling protocols activated for surge response.

Total Loss Valuation

Entity

The calculated actual cash value or replacement cost for total loss vehicles or property including comparable sales, condition adjustments, and salvage value.

Policy Administration & Servicing7 objects

Actuarial & Pricing7 objects

Distribution & Agency Management5 objects

Customer Service & Policyholder Support5 objects

Compliance & Regulatory Affairs5 objects

Finance & Accounting6 objects

Information Technology & Data Management6 objects

Frequently Asked Questions

What is the AI infrastructure feasibility level for Insurance?

Insurance organizations average CMC L2.5 across 6 infrastructure dimensions. The strongest dimension is Formality at L3.0, while the weakest is Structure at L2.0. 94 AI capabilities have been mapped across 9 business functions.

What is the biggest infrastructure gap in Insurance?

The weakest dimension for Insurance is Structure at L2.0. This means AI capabilities with high Structure requirements are most likely to be blocked for typical organizations in this industry.

How many AI capabilities are mapped for Insurance?

The CMC Framework has mapped 94 AI capabilities across 9 business functions in Insurance. 94 of these have full 6-dimension infrastructure requirement profiles.

Where Does Your Insurance Organization Stand?

Enter your context profile or request an assessment to get a personalized feasibility determination.