How Insurance Agencies Can Use AI to Prepare Certificate Requests

A certificate request can take a few lines to write and several systems to answer. Your service employee reads the email, identifies the insured, finds the policy, checks the request, prepares the document, and records the activity. When many requests arrive together, that preparation creates a queue.

AI can help with this work because much of it involves locating information and turning an unstructured request into a consistent draft. The useful result is a package your employee can check quickly, with the relevant records already attached.

The first project should have a clear boundary. Pick one request type from one inbox and one agency management system, and measure the full task, including review, before deciding whether to expand.

What a certificate assistant should prepare

Start with account identification. An assistant can extract the insured name, certificate holder, requested dates, and wording from an email. It should then match that information to the agency's authoritative records.

A confident-looking answer is not enough. When two accounts have similar names, the assistant should show the ambiguity rather than choose one. An expired policy should raise an exception, and a request for additional insured status should come with the supporting endorsement evidence for a qualified employee to review.

The output should contain the draft, source references, and unresolved questions. That gives the reviewer something concrete to approve or correct. The request itself should never be treated as proof that coverage exists.

Connect it to the work your team already does

A standalone chat window adds another place for staff to copy information. The more useful design connects the intake channel to the agency's records and returns the draft to the employee's normal queue.

Before committing to a connection, check the agency software's available interfaces, permissions, and licensing. Some systems require vendor approval or a particular product tier. A prototype can use redacted documents while those requirements are resolved.

Keep the first connection read-only where possible, and add narrowly scoped record updates only after the review process is reliable. Any send or issuance action should be tied to the exact version the employee approved, so that a second click or a retry cannot create a duplicate transaction.

What published examples tell us

Microsoft's published customer story on Nsure reports that the digital insurance agency used generative AI and workflow automation to reduce manual processing time by 60%. That is a published result from a particular agency's broader automation program. It supports investigating service workflows, but it does not establish what your own certificate process will save.

Your result depends on request volume, the quality of policy data, the percentage of exceptions, and how much checking remains. An agency with fewer requests may be better served by a feature already available in its management system.

Put the review step into the design

A human approval button is useful only when the person can see what they are approving. Put the requested wording beside the supporting policy information and highlight changed limits, missing documents, and conflicts. The original request should stay one click away.

Measure how often a reviewer changes the draft and why. If staff repeatedly correct the same field, repair the extraction or source mapping. If they keep overriding a rule, decide whether the rule is wrong or the process needs clarification.

The agent also needs a route for requests it cannot resolve. A queue marked for review is preferable to a polished response built from incomplete information. Assign a person to that queue so exceptions do not become a new backlog.

Build the business case from your own volume

Consider a hypothetical agency with 1,200 eligible requests per month. If active handling time falls from 12 minutes to 5 minutes, the recovered capacity is 140 hours monthly.

At an assumed $40 loaded hourly cost, that is $5,600 of gross time value. If only 70% becomes usable capacity, the value falls to $3,920. After $1,500 of assumed monthly operating costs, the hypothetical net capacity value is $2,420.

These figures are assumptions and should not be read as a forecast. At half the volume, the same costs leave only $460 of monthly net value, which is why observing the workload matters more than borrowing another company's headline percentage.

Decide what your team will do with the capacity. It might reduce overtime, absorb growth, or create more time for renewal conversations, and each of those outcomes needs its own evidence.

Run a pilot that includes difficult requests

Use historical examples with missing details, duplicate messages, expired policies, and unusual wording. Reserve some examples for a final test after configuration, so the project is not judged only on documents used to tune it.

Then run the assistant alongside the current process, with external outputs kept under staff review for the length of the pilot. Compare active time, corrections, queue age, and cost per approved item.

Ask your operations owner to define critical errors before testing. A wrong coverage statement cannot be averaged away by many correct addresses, so critical errors and access failures should block expansion until they are resolved.

Where to go next

Once certificate preparation works, examine renewal comparisons or submission completeness. Each should have its own acceptance criteria and reviewer, and the case for expanding should rest on that evidence rather than on the fact that the same model can produce an answer.

Our guide to automating certificate of insurance requests goes further into how the work splits between an agent and your service staff. It also covers the controls your E&O carrier is likely to ask about before an agent prepares certificates.

QueryNow's insurance agency service starts with a defined workflow and the agency's own examples. Bring a small redacted sample of the work that consumes your service team's week. The first decision is whether the volume, records, and review effort justify a build.

Questions agency owners ask

Can the assistant issue certificates without checking?

The recommended first scope requires qualified staff approval. Any later authority must be assessed against agency procedures, carrier arrangements, and applicable requirements.

Will this replace the management system?

Usually the system remains the authoritative record. The assistant helps prepare work around it.

How do we know whether it is working?

Measure total active minutes and corrections per approved request, together with critical errors and operating cost.