Get claims and policies moving without adding handlers.
Insurance operations run on documents, rules and deadlines, and much of a handler's day goes into reading, re-keying and chasing. We look for the workflows where agents can prepare the file, check it against the policy wording and route it, while people keep every decision that affects a policyholder's cover or claim.
Six insurance workflows where preparation eats the day.
These are the workflows we would examine first in an insurer, MGA or broker. They usually run through a policy administration system, a claims system, shared inboxes, portals and a document store that nobody fully trusts.
| Workflow | Manual today | AI-native version | Stays human | Verification check |
|---|---|---|---|---|
| First notice of loss and claims intake | Handlers read emails, forms and photos, find the policy, key the claim and ask for missing documents. | An agent registers the claim, links it to the policy, checks the documents against a checklist and requests what is missing. | Coverage decisions, every denial or partial denial, and any claim flagged as sensitive. | Policy must be in force on the loss date. Claim fields must match the source documents. No claim is closed by an agent. |
| Claims document handling | Invoices, repair estimates and medical or police reports are read and summarized by hand. | An agent classifies each document, extracts the key fields and attaches a summary that cites the page it came from. | Assessment of the loss and the settlement amount. | Every extracted figure links back to its source page. Totals are recomputed, not copied. |
| Underwriting submission intake | Underwriting assistants turn broker emails, schedules and spreadsheets into a clean submission. | An agent structures the submission, checks it against appetite rules and lists the gaps for the broker. | Risk acceptance, pricing and terms. | Required fields complete for the line of business. Out-of-appetite risks are flagged, never declined automatically. |
| Policy changes and endorsements | Mid-term changes arrive by email and are keyed into the policy system, often with errors. | An agent drafts the endorsement from the request and the current policy, and prepares the premium recalculation for review. | Changes that alter cover or price beyond set limits. | The proposed change must be a valid transaction in the policy system. Premium recalculated by the rating engine, not by the model. |
| Subrogation and recovery | Recovery potential is spotted late, if at all, and evidence is gathered by hand. | An agent flags claims with recovery potential from the facts on file and assembles the evidence pack. | The decision to pursue recovery and every letter to a third party. | Limitation dates tracked per claim. Evidence pack checked for completeness before review. |
| Complaints handling | Complaints are logged, acknowledged and investigated by hand against internal deadlines. | An agent logs and classifies each complaint, sends the acknowledgement and assembles the case history. | The investigation outcome and the final response. | Acknowledgement and response deadlines tracked. Final responses are never sent by an agent. |
Six numbers that show whether it worked.
The Audit measures these before anything is built. The Pilot is measured against the same numbers.
| Metric | Definition |
|---|---|
| Handler minutes per claim | Total people time on intake and documentation, divided by claims registered. |
| Time to first contact | Hours from first notice of loss to a complete, acknowledged claim with a named handler. |
| Claim cycle time | Days from first notice to settlement or closure, split by claim type. |
| Pending-for-documents rate | Share of open claims waiting on missing information, and how long they wait. |
| Data entry error rate | Fields corrected after registration, per 1,000 claims or policy transactions. |
| Deadlines missed | Complaint responses, recovery limitation dates and regulatory clocks missed per quarter. |
What can go wrong in insurance, and the control for each.
Claim denials, coverage decisions and pricing affect people's lives and money, so they stay with people. The EU AI Act treats risk assessment and pricing for life and health insurance as high-risk. Our agents prepare, check and route. They do not decide.
| Failure mode | Control | How we'd detect it |
|---|---|---|
| Claim denied or reduced by an agent | Agents have no permission to deny, reduce or close a claim. Those actions need a named handler. | Audit trail check that every adverse outcome has a human decision-maker. |
| Claim linked to the wrong policy | Match on policy number plus at least two independent identifiers. Ambiguous matches go to a person. | Weekly sample of new claims checked against the policy record. |
| Wrong figure extracted from a document | Every extracted value carries its source page. Totals are recomputed by code. Low-confidence fields are highlighted for review. | Field-level correction log by document type. |
| Fraud signal missed | Your existing fraud rules still run on every claim. Agents add flags, never remove them. | Count of claims referred to the special investigations team before and after. |
| Policyholder told something untrue | Messages drawn from templates and the claim record. No statement about cover is sent without a handler. | Weekly QA sample and complaint tagging for wrong information. |
| Health or personal data exposed | Agents see only the fields a task needs. Special-category data is masked unless the task requires it. Self-hosted, EU-hosted deployment is possible. | Access logs per agent and per task. |
Claims intake, from diagnostic to pilot.
Illustrative example — not a client result. The numbers below are assumptions chosen to show the method and the arithmetic. Your Audit replaces them with measured values.
| 01 | Diagnostic | Suppose a property and motor insurer picks "claims intake" on the General track. The Snapshot might show a High leverage signal with Medium confidence, friction at the Demand/Input and Processing stages, and Level 2 (workflow augmentation) as the indicated AI depth, because the decisions stay with handlers. |
| 02 | Audit | Suppose the Audit measures 2,500 new claims a month at 12 minutes of intake work each. That is 2,500 × 12 = 30,000 minutes, or 500 hours a month, about 3.1 FTE at 160 hours. It also finds that about 35% of claims arrive incomplete, involve injury or are otherwise complex. |
| 03 | Pilot | Suppose the 65% straightforward claims are registered by the agent, and a handler confirms every one of them in 4 minutes. The 35% complex claims still take 14 minutes each, because they are the harder cases. The Pilot measures whether that holds. |
| Line | Assumption | Hours per month |
|---|---|---|
| Baseline | 2,500 claims × 12 min | 500.0 |
| Straightforward, after | 1,625 claims, all confirmed × 4 min | 108.3 |
| Complex, after | 875 claims × 14 min | 204.2 |
| After, total | 108.3 + 204.2 | 312.5 |
| Difference | 500.0 − 312.5 (about 1.2 FTE) | 187.5 |
At an assumed loaded cost of €50 an hour, 187.5 hours is about €9,375 a month. A handler still looks at every claim. The Audit would also measure time to first contact, because a faster, complete file shortens the whole claim. It would count the new costs too: compute, claims system integration and handler review time. If the numbers don't hold, the recommendation is "don't proceed".
Where our proof comes from.
We'll be plain about this. Our production proof is in AdTech, not insurance. We have not yet run these insurance workflows for a client.
The architecture is the same one that runs in AdTech production: typed intake, deterministic checks before any action commits, bounded retries, then a person. Real-time invalid-traffic scoring is a close cousin of claims fraud flagging: score every event, never act on a score alone, and log why. The case studies show that work, and four of our AI plugins run live on reviveadservermod.com.
That is why insurance engagements start with the free diagnostic and the Audit. The Audit measures your own baseline and records your controls, including "what must never be automated", before anything is designed.
Questions insurance operations leaders ask first.
Will an agent ever deny a claim?
No. Denials, partial denials and coverage decisions stay with named handlers. Agents prepare the file, check it against the policy wording and route it. The permission to deny simply isn't given to them.
Do we need to replace our claims or policy system?
No. We work with the systems you have, through their APIs or existing integration points. The Audit records which systems hold the data and where it is re-keyed.
Can this work for a broker or MGA, not just a carrier?
Yes. Submission intake, endorsements and claims notification to carriers involve the same reading, re-keying and chasing.
Find out which insurance workflow is worth redesigning.
Start with the free diagnostic on the Other / General Business track. Move to the Audit only if the Snapshot points to something worth measuring.
| 01 | Free AI Operational Diagnostic | 10 steps, 8–12 minutes, General track. Snapshot on screen and as a PDF. |
| 02 | Operational Leverage Audit, from $1,500 | Fixed fee, one workflow, 10–15 working days after data access. Measured baseline, verification architecture, benefit model with stated assumptions, go / no-go. |
| 03 | Pilot implementation, from $6,000 | Fixed scope. The workflow built and run in your environment, with an audit trail, measured against the Audit baseline. Typically 4–8 weeks. |