Quote & bind
In a digital application, the applicant answers the questions an underwriter used to ask, and your systems decide on whatever they submit. ForMotiv’s continuous behavioral analysis reads the intent behind every answer, whether a person or an AI agent is giving it, so you can build experiences that adapt in real time to risk, fraud, purchase intent and more.
Every answerwith the behavior behind it
Human or AI agentidentified in every session
In real timewhile the applicant is still there
Experience for this applicantGenuine intent, nothing unusual in the session
Channels
Applicants reach you four different ways. ForMotiv analyzes behavior continuously in each one, tuned to how that channel works.
Read intent and risk on every self-service quote while the shopper is still on the page, and act before they bind or leave.
Explore direct digital →See how each agent and agency completes applications, benchmark them against peers, and catch gaming before the policy issues.
Explore agents & brokers →Read the intent behind every turn of the conversation, in live chat and with AI assistants.
Explore chat →Know which AI agent is in the session and what it’s trying to do, then serve it or stop it.
Explore AI agents →The blind spot in application data
Carriers see the final, polished submission, not how the applicant got there. Here is one auto quote session, as your systems see it and as ForMotiv sees it.
Applicant begins an auto quote online.
17 minutes of answers and changes happen here. Only the final values reach your systems.
$895.79 for six months.
Continues to payment and e-signature.
Session analyzed from the first screen.
Suspicious behavior on household drivers.
ManipulationHigh-risk behavior on driving history.
Integrity risk$1,287 for six months.
High-risk behavior on mileage once the price appeared.
Rate evasionSuspicious behavior on the garaging location.
Location gamingFinal quote of $895.79 requested.
Behavioral patterns indicate rating-answer manipulation and rate-evasion intent.
An agent opens the customer’s auto quote in the agency portal.
17 minutes of agent edits happen here. Only the final values reach your systems.
$895.79 for six months.
The agent binds on the customer’s behalf.
The agent opens the customer’s earlier online quote, already in the behavioral record.
Changed a household answer the customer gave online.
ManipulationHigh-risk behavior on discount eligibility.
Discount abuseChanged the driving history the customer gave online.
Integrity risk$1,287 for six months.
High-risk behavior on mileage once the price appeared.
Rate evasionSuspicious behavior on the garaging location.
Location gamingSubmitted for bind at $895.79.
High-risk agent behavior on underwriting answers the customer gave online.
Sent messages only. The behavior behind each message never reaches your systems.
Suspicious disclosures, rate-evasion intent and a prompt-injection attempt in one conversation. The assistant can adapt while the customer is still in the chat.
Third-party data orchestration
Every carrier calls reports at its own points in the underwriting flow. Some pull prefill after the first screen, some call everything at the first rate call to return a bindable rate, some stagger them, and some don’t reach a bindable rate until the second rate call.
However your flow is set up, ForMotiv scores each applicant’s risk and intent in real time, so every paid call is spent where it changes the outcome. Skip checks on bots and very low-intent shoppers, pull the full set early for high-intent applicants, and put your spend on the checks that verify high-risk answers before bind.
Misrepresentation
Answers that change once the price is visibleHigh-risk behavior on rated answers after the quote appears.
Prefill that gets overriddenBehavior that contradicts what third-party data found.
Quotes rerun until they clearRepeat sessions with high-risk intent, connected in one behavioral record. Try the premium leakage demo →
FAQ
How does ForMotiv help at quote and bind?
ForMotiv continuously analyzes behavior as applicants quote and bind across web forms, chat, agent portals and raters, and reads the intent behind every answer, so carriers can catch misrepresentation, bots and fraud and fast-track genuine buyers before the policy is bound.
What is kickout and rewalk?
Kickout and rewalk is when an applicant is declined or referred, then restarts the application to get a different result. ForMotiv connects those sessions in one behavioral record and flags the high-risk intent behind them.
What is quote manipulation?
Quote manipulation is changing rating answers to test and lower the price, in one session or across several. It rarely shows in the final answers, which is why ForMotiv reads the behavior behind them.
Can ForMotiv tell AI agents and bots from people at quote?
Yes. ForMotiv identifies whether a session is a person, an AI agent or a bot and reads its intent, so carriers can serve legitimate AI shopping agents and block, challenge or limit the rest before they reach the rating engine or trigger data calls.
Why isn’t the final answer enough?
In a digital application, the applicant effectively underwrites themselves, and carriers decide on the final answers they submit. ForMotiv reads the intent behind each answer, so carriers can adapt the experience to risk, fraud and purchase intent while the applicant is still in the session.
Bring one journey and one goal. We’ll show you the behavioral signals behind it, the decisions they can drive, and how ForMotiv fits into your stack.
Leakage, fraud, conversion or agent oversight, on the line and channel you care about most.
A walkthrough of the signals, features and scores for journeys like yours.
Where the tag goes, what the API returns and which systems act on it.
