Independent. Not affiliated with TypeSafe AI, the maker of Jev. Disclosures

Decision LayerUnofficial

Try “routing”, “confidence”, “leads” or “noul”.

    For insurance agencies and contact centers

    Where Jev fits in an agency, and where a person must stay

    TypeSafe’s own use-case list names insurance claims, underwriting risk, lead generation and customer support. We have found no published worked examples for agencies yet. These guides are meant to be the first.

    Strong fitGuide in progress

    Support ticket routing

    Which team gets the ticket, how urgent it is, how upset the customer sounds.

    ChoiceNoulScore
    Watch for
    Send low-confidence tickets to a person. TypeSafe’s routing pattern escalates below 0.5 confidence; set your own line from your data.
    Test firstGuide in progress

    Insurance lead scoring

    How well an inbound lead fits, what they are shopping for, and whether they are ready to talk now.

    ScoreChoiceNoul
    Watch for
    Never score on protected traits. Jev handles raw numbers and dates poorly, so do age, ZIP and renewal-date math in code and give Jev words.
    Person in the loopGuide in progress

    Claims intake triage

    Claim type, how complex it looks, and whether it should go to a senior adjuster for review.

    ChoiceScoreNoul
    Watch for
    Use it to sort the queue, never to deny or pay a claim. Many states have adopted the NAIC’s model bulletin on insurers’ use of AI; a person makes every decision about a claim.
    Test firstGuide in progress

    Call QA scorecards

    Did the rep cover each required point: greeting, disclosures, needs questions, next step.

    NoulScore
    Watch for
    Long calls hit the 32k-token state limit and Jev gets less accurate on long, noisy input. Score the transcript in sections.
    Person in the loopGuide in progress

    Marketing compliance checks

    Does this ad, email or script make a claim on your prohibited list, or leave out a required line?

    NoulChoice
    Watch for
    Jev answers the question you wrote, not the one you meant. Write one question per rule, and keep a compliance person as the final sign-off.
    Strong fitGuide in progress

    Business email triage

    What kind of email this is and who should handle it.

    ChoiceNoul
    Watch for
    Long threads: pass only the newest message plus a short summary field.

    Ground rules we follow in every agency guide

    • Jev sorts, people decide. Anything that changes a person’s coverage, price, claim or eligibility goes to a licensed or authorized person.
    • No protected traits. Lead and claims questions never ask about, or infer, race, religion, disability or other protected characteristics.
    • Synthetic data in examples. Our worked examples use made-up leads, calls and claims, never real policyholder data.
    • Check the rules in your state. Many states have adopted the NAIC’s model bulletin on insurers’ use of AI. We will cite the specific rules in each guide; this site is not legal advice.
    • Numbers and dates in code. Jev is weaker with raw numbers and dates, so ages, premiums and renewal dates are worked out in code first.

    Commercial · clearly labeled

    About Conversely

    Conversely provides performance services to insurance agencies. It publishes this site. Nothing here is sponsored. [CONFIRM: no relationship with TypeSafe AI.]

    [SERVICES: Peter to describe what Conversely offers agencies, and whether it builds with Jev for clients. If it does, that will be disclosed on every related page.]

    Contact Conversely