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InsightThe Truth About AI-Powered Policy Checks: Benefits & Accuracy

Why insurance agencies are moving policy checking to AI — and what accuracy really looks like.

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Solution · Logistics & Transportation

Clean Vehicle Data. Accurate Policies.

Validate and normalize VINs, compare vehicle schedules across policies, applications and endorsements, and catch every added, removed or changed vehicle. Tech Tammina Vehicle Intelligence makes commercial auto data reliable.

Every VINvalidated, normalized and comparedCommercial auto • Renewals • Endorsements
Quick answer

What Is Vehicle Intelligence?

Vehicle intelligence is the process of standardizing and comparing vehicle data — such as VINs, year, make, model, garaging location, coverages and values — across insurance documents and systems. Tech Tammina’s solution normalizes VINs, compares vehicle schedules between policies, applications, endorsements and renewals, and flags discrepancies for review. It is used mainly in commercial auto insurance.

Why Commercial Auto Vehicle Schedules Rarely Match

A fleet schedule can list hundreds of vehicles, and every document formats them differently. VINs are mistyped. Vehicles are added mid-term but never endorsed. At renewal, nobody is sure which list is correct — and premium and coverage errors follow.

01

Large schedules

A fleet schedule can list hundreds of vehicles.

02

Different formats

Every document lists vehicles its own way.

03

Mistyped VINs

Small errors break matching.

04

Unendorsed changes

Vehicles are added mid-term but never endorsed.

How it works

How VIN Normalization and Schedule Comparison Work

Extract→Validate→Normalize→Match→Compare→Flag→Update
01

Extract

Capture vehicle lists from policies, ACORD forms, spreadsheets and endorsements.

02

Validate

Check VINs and derive year, make and model where supported.

03

Normalize

Standardize formats, abbreviations and identifiers.

04

Match

Link the same vehicle across documents, even with typos.

05

Compare

Check coverages, limits, deductibles, garaging and values for each vehicle.

06

Flag

Highlight added, removed, changed and invalid vehicles.

07

Update

Send approved changes to your AMS or endorsement workflow.

Use cases

Vehicle Intelligence Use Cases

  • Commercial auto policy checking
  • Renewal schedule comparison
  • Endorsement checks for vehicle adds and deletes
  • Data-quality clean-up before audits and renewals
Outcomes

What You Can Measure

Measure

Vehicle schedule accuracy

Measure

Time to compare schedules

Measure

Missed endorsements found

Measure

Premium discrepancies corrected

FAQ

Vehicle Intelligence FAQs

Straight answers to the questions buyers ask most.

What Is Vehicle Intelligence?

Vehicle intelligence is the process of standardizing and comparing vehicle data — such as VINs, year, make, model, garaging location, coverages and values — across insurance documents and systems. Tech Tammina’s solution normalizes VINs, compares vehicle schedules between policies, applications, endorsements and renewals, and flags discrepancies for review. It is used mainly in commercial auto insurance.

What does VIN normalization mean?

It checks a VIN for errors, standardizes its format and links it to consistent vehicle details.

Can it find vehicles that were added but never endorsed?

Yes. It flags added, removed and changed vehicles across documents.

Does it work for large fleets?

Yes. It is built for commercial auto schedules with many vehicles.

Is it part of policy checking?

It can run on its own or inside Policy Checking Automation.

Let's talk

See Vehicle Intelligence working on your documents.

Book a working session with our team. Bring real samples — we will show you the flow, the controls and the outcomes you can measure.