How AI Reads a Certificate of Insurance
A plain-English look at how automated COI parsing extracts limits, dates, and endorsements — and why a human still confirms.
The form is predictable
Because almost every COI uses the ACORD 25 form, the important fields sit in predictable places: the coverage grid, the limits column, the policy dates, and the endorsement indicators. That structure is what makes automated reading reliable.
Extraction, then checking
Automated parsing pulls out the insurer, policy numbers, coverage types, limits, and effective/expiration dates, then compares them to your requirement template — flagging low limits, missing coverages, and absent endorsements.
Human-in-the-loop by design
Good software treats AI as an assistant, not an authority: it surfaces the gaps and lets you confirm. That keeps the speed of automation without handing final compliance judgment to a machine — which matters when real liability is on the line.
About the author
Rehan Shah — Founder, CoverSynx
I build CoverSynx, software that helps property managers and contractors keep track of their vendors' certificates of insurance. I'm not an insurance broker or a lawyer. These guides summarise published industry guidance and cite their sources — for advice on your own situation, speak to your broker.
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