Account servicing
Policies change all year, mostly online and mostly unreviewed. ForMotiv’s continuous behavioral analysis reads every servicing session in the context of the policyholder’s behavioral record, and reads the intent behind each change, whether a person or an AI agent is making it. Routine changes go straight through. Takeover, leakage and fraud are stopped before they cost you.
Every sessionanalyzed continuously, from quote to renewal
Human or AI agentidentified on every change
Intentread before the change saves
Incoming changes · sampleIntent · outcome
What’s at stake
Most servicing is routine. These are the changes where intent tells you whether to approve in a click or look twice, grouped by what’s at stake.
Rating changes soon after bind, with high-risk intent behind them.
Coverage added with suspicious behavior, flagged so claims sees it if a loss follows.
A policy cancelled and requoted for a lower rate, connected in one behavioral record.
High-risk intent on a change to where the money goes.
Suspicious behavior on contact details right before a payout or a claim.
High-risk behavior on a beneficiary or ownership change.
Behavior that signals a customer struggling to pay.
Behavior that signals a customer getting ready to leave.
Stuck on a self-service step and heading for Contact Us. Offer a guided fix or chat first.
Continuous behavioral analysis
A single change rarely looks risky on its own. ForMotiv analyzes every session on the policy, from the first quote through each login and change, and reads the intent behind each one.
Every quote, login and servicing session tied to the policy, analyzed as it happens.
Who or what is making each change, and what it intends to do. ForMotiv is identifying 93 AI agents, and counting.
ForMotiv analyzes behavioral metadata, never what was typed.
Signals and reasons reach your servicing rules, review queues and SIU through the real-time API.
Wherever changes happen
A change looks the same in your policy system no matter who made it or where. The intent behind it doesn’t, and ForMotiv reads it in every channel.
Changes policyholders make themselves, usually with no one watching.
Direct digital → Agent-keyed changesChanges your agents make for customers in your agent portal.
Agents & brokers → Chat servicingRequests made in conversation with a rep or an AI assistant.
Chat Solution → AI agentsPersonal AI agents handling servicing tasks for policyholders.
Agentic AI detection →FAQ
How does ForMotiv help with insurance account servicing?
ForMotiv continuously analyzes every servicing session in the context of the policyholder’s behavioral record and reads the intent behind each change, whether a person or an AI agent is making it, so routine changes go straight through and takeover, leakage and fraud are stopped before they cost the carrier.
What is mid-term change leakage?
Mid-term change leakage is when rating details are changed shortly after bind to lower the premium or misstate risk, often without anyone reviewing the change.
Why are payout and contact changes risky?
Changes to where money and messages go, made just before a claim or refund pays out, are a common step in account takeover and claims fraud. ForMotiv flags the high-risk intent behind them before the change saves.
Can ForMotiv tell when an AI agent is making a change?
Yes. ForMotiv identifies whether a person, an AI agent or a bot is in the session and reads its intent, so carriers can let AI agents handle routine tasks for policyholders and keep sensitive changes behind the person.
Can ForMotiv flag beneficiary changes?
Yes. ForMotiv flags high-risk behavior on beneficiary and ownership changes so carriers can verify them before they take effect.
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.
