One ticket, start to finish.
One ticket, start to finish.
Tickets from the helpdesk all start down the same line of checks. Here is one a person needed to see.
-
A customer writes to support, and Forecede pulls in the whole thread.
-
Names, emails and phone numbers are masked by pattern in the copy the AI reads.
-
Words like “hospital” or “attorney” anywhere in the thread keep it from being dropped.
-
The masked text is turned into numbers so it can be compared with past cases.
-
Checked against cases reviewers already judged. Tickets unlike past alerts stop here.
-
An AI model picks out the injury, danger and legal phrases in the masked text.
-
Up to three similar past cases, and how reviewers judged them, go into the rating.
-
Rated from low to critical, up to five times. If the ratings differ, a person decides.
-
It notes repeat contacts, a spike on one product line or a thread heating up.
-
It goes to the review queue. If the ratings agree on high or critical, it is emailed.
The ticket is made up and the product did not run on it, so we wrote the results you see. The number of tickets shown is not to scale.
Your back-office tools sit in the same login.
Early warning on claims is one part of Forecede. Here is the rest, all in the product today.
The book
Accounts and insureds, organized the way your agency is. It shows who services each account and who can see it.
Renewals
A staged pipeline with prep built in, so the work in front of a renewal is visible before the date is.
Certificates
ACORD certificates and their holders, kept in the same system as the policy behind them.
Contract check
Reads a contract against the policy and marks each insurance requirement as met, gap or unverifiable. When it can’t tell, it says so.
Commissions & proposals
Reconcile commission statements, and turn a quote comparison into the proposal your client sees.
Triage inbox
The email that runs a brokerage, filed against the account it belongs to. Nobody has to remember which folder it went in.
A claim builds up before anyone files it.
The expensive part starts once someone decides it is a claim. The cheap moment comes earlier, in what the customer writes, before any paperwork exists.
It often shows up in a support thread first.
A rider says they were hurt, or a customer mentions a lawyer. That message is already in the helpdesk, sitting in the same queue as a refund request.
By the time it is a file, the options have narrowed.
Once someone gives notice, deadlines start and lawyers get involved. The cheap options close, and nobody notices when.
A person makes the call.
Forecede makes no decision about a claim. It picks the conversations a person should read and shows why, so they can act while the options are still open.
The same claim, drawn twice.
The first sheet shows how a claim grows when nobody is watching it. The second shows what changes when someone steps in early. Forecede is built for the second one.
Illustrative. The curves show the idea and measure nothing. We left the time spans unlabelled because we do not yet have a number we would stand behind.
Four things happen, and a person is in three of them.
Read
Tickets come in from the helpdesk on a schedule, or when the helpdesk sends them. Names, emails, phone numbers and other personal details are masked by pattern in the copy the AI reads.
Weigh
A person, if the ratings differ
Each ticket is compared with past cases reviewers judged. Tickets with a warning sign are rated up to five times, with backup AI models from more than one vendor. If the ratings differ, a person decides.
Resolve
A person
An early-settlement option for the matters worth resolving now. No model settles anything. A person signs off on each figure.
Record
A person acts; the log keeps the record
Each alert and each reviewer action goes into an audit log: who acted, on what evidence, when, and what the system believed at the time. When the file reaches the TPA, someone can check how it got there.