Automated Insurance Underwriting Intake Submissions to decision-ready files
A broker submission is read, checked for completeness, rated and summarised before an underwriter opens it.
- Installed for you · one-time$249
- Run for you$297/month
- Custom build · this process$8,000–15,000 one-time
- Starts whenSubmissions inbox (Outlook / Gmail) + broker portal event
The subscription covers a single line of business with standard ACORD forms and up to 300 submissions a month. Multi-line appetite logic, rater integration and policy-admin integration are a custom build; carriers and MGAs usually need the custom path. Custom builds start at $2,000 site-wide; this band is for this process and its integrations.
Automated Insurance Underwriting Intake is an automation Agentmelt installs in Third-party data providers. The free template is a file you import yourself; the kit ($49) adds the setup guide and prompts. Installed for you costs $249 one-time and is live within two working days of access, with a recorded walkthrough and 30 days of fixes. Run for you costs $297/month, with setup and maintenance included. A custom build of this process is $8,000–15,000 one-time; custom builds start at $2,000 site-wide. No call is needed for any option. Written by Max Zeshut; last revised 2026-09-17.
Reference stack: Claude + n8n. Node names are on each step; the file is under the template.
Founder at Agentmelt
Reviews every build before it goes live; the workflow escalates to a person, never past one.
What is automated insurance underwriting intake?
Automated underwriting intake takes the broker submission as it arrives — emails with ACORD forms, loss runs, schedules of values, spreadsheets — extracts the application data, checks it for completeness, pulls the third-party data the underwriter would look up anyway, applies the appetite and rating rules underwriting has written down, and gives the underwriter a decision-ready file with the questions still open. It automates the assembly and the triage, not the underwriting decision.
- Underwriters spend most of the day assembling files, not underwriting.
- Submissions sit in a shared inbox for days before anyone knows whether they are in appetite.
- Loss runs arrive in a different format from every carrier and get re-keyed by hand.
- The same declined class of business gets worked up three times a month.
- Brokers wait a week for a 'no' that the appetite guide could have given in an hour.
If two of these are yours, this is the process to look at first. Free audit — or read on.
What it looks like once it runs.
Underwriters spend most of their day assembling files, not underwriting. The workflow takes broker submissions as they arrive — emails with ACORD forms, loss runs, schedules of values, spreadsheets — extracts the data, checks completeness, pulls third-party data, runs appetite and rating rules, and delivers a decision-ready file with the open questions listed. Clear-cut declines are answered the same day; underwriters spend their time on the risks that need judgement.
- 10:15 A submission arrives with six attachments. Each is classified: application, loss runs, schedule, financials.
- 10:20 The application data is extracted; missing items produce a broker request with the exact list.
- 10:30 Property data, business verification and sanctions checks are pulled; the risk is tested against the appetite guide.
- 10:40 In-appetite risks get an indicative premium and a one-paragraph summary; the underwriter opens a file that is ready to decide on.
Submissions arrive as inconsistent attachments. Underwriting assistants re-key data into the policy system, chase brokers for missing information, and out-of-appetite risks sit in the queue for a week before being declined. Quote turnaround is the reason brokers send business elsewhere.
Every submission is triaged within an hour: out-of-appetite declined with a reason, incomplete ones bounced to the broker with a precise list, and the rest in the underwriter's queue with the data in the system, third-party checks done and the questions to ask. Quote turnaround and hit ratio both improve because the underwriter starts with a file, not a pile.
Trigger, then 8 steps.
All eight steps run without anyone; a person sees only what the guardrails escalate.
Submissions inbox (Outlook / Gmail) + broker portal event
Capture and classify attachments
Each attachment is classified — ACORD application, loss runs, schedule of values, financials, supplemental questionnaire, other — and stored against a new submission record.
Extract application data
Insured details, operations description, revenue, employees, locations with construction/occupancy/protection data, requested limits and coverages, prior carrier and premium, loss history by year — with confidence per field.
Check completeness
Required fields per line of business; missing items generate a broker request drafted by the agent with the exact list, sent after a human click or automatically below a size threshold.
Pull third-party data
Property data (construction, roof age, flood zone), business verification, sanctions and OFAC checks, and loss-control reports where available; results attached to the file.
Apply appetite rules
Class of business, geography, revenue band, loss ratio and limits against the appetite guide. Clear declines are drafted with the reason; borderline cases are flagged for the underwriter with the rule that triggered.
Indicative rating
For in-appetite risks, an indicative premium from the rating algorithm or rater API, with the factors listed so the underwriter sees what drove it.
Assemble the file and questions
The agent writes the submission summary — the risk in one paragraph, key exposures, loss history narrative, third-party findings, indicative rating — and the specific questions an underwriter would ask this broker about this account.
Queue and track
Submission created in the policy admin or underwriting workbench with the data and documents; the underwriter is assigned by line and capacity; turnaround is tracked from receipt to quote.
No step waits for a person.
What the workflow hands to someone, by rule:
- No binding decisions are automated; the workflow triages and prepares. Declines outside appetite are drafted and sent after a human click unless the carrier chooses to automate below a threshold.
Every submission is triaged within an hour: out-of-appetite declined with a reason, incomplete ones bounced to the broker with a precise list, and the rest in the underwriter's queue with the data in the system, third-party checks done and the questions to ask
Every submission is triaged within an hour: out-of-appetite declined with a reason, incomplete ones bounced to the broker with a precise list, and the rest in the underwriter's queue with the data in the system, third-party checks done and the questions to ask.
No decisions needed. Anything the guardrails flag is handed to a person; the rest ran alone.
Each pattern page explains it in plain words and lists every automation that uses it.
The template is built on n8n (how the n8n AI Agent node works); the same steps run on Make, Zapier or plain code. The tool is chosen to fit your accounts, you own the result, and the template comes in all three formats.
A typical first month — a commercial-lines MGA with four underwriters, on Applied Epic and a shared Outlook inbox.
Not a client report
Around 220 submissions a month arrive at submissions@ as ACORD forms, loss runs and broker emails in every shape. Two underwriting assistants classify attachments, key the data into the workbench and chase brokers for what is missing — two to four hours per submission. Out-of-appetite risks sit for a week before a decline goes out. Brokers say the quote turnaround is why they send the good business elsewhere.
The first month- Day 1The submissions inbox is connected. Every new submission is classified and its data extracted; the assistants check the extracted fields side by side with the attachments. Nothing goes to a broker yet.
- Week 1Extraction verified on about fifty submissions. Low-confidence fields are highlighted as designed; most are loss-run totals in two carriers' formats, and those get their own templates.
- Week 2Completeness checks go live: the broker's acknowledgement carries a precise list of what is missing, and the assistants stop writing those emails. Appetite rules are loaded from underwriting's spreadsheet and versioned.
- Week 3Declines outside appetite are drafted with the reason and sent after a human click. Third-party data and sanctions screening run on everything; one hit blocks progress and goes to the compliance lead.
- Week 4The underwriter's queue shows each risk with the summary, the indicative premium and its drivers, and the questions already sent to the broker — so answers arrive before the file is opened.
| Metric | Before | After a month |
|---|---|---|
| Time from submission to triage | 2–5 days | under an hour |
| Assistant time per submission | 2–4 h of keying and chasing | ≈20 min of verification |
| Incomplete submissions bounced with a precise list | ad hoc, by email | all of them, the same day |
| Risks an underwriter can look at | the baseline | more — the hit ratio follows from this, and only a full quarter shows it |
Figures follow the blueprint's own range — two to four hours of file preparation per submission — at 220 submissions a month. Quote turnaround and hit ratio are yours to measure over a quarter, from the workbench.
This is a worked example, not a client's results: the company is a composite of a stated size, and the figures are the ranges this blueprint's own metrics make typical at that size. A real engagement replaces it, with permission, once an install has run a month.
Data it touches
- Submissions inbox and broker portal
- ACORD forms, loss runs, SOVs, financials (attachments)
- Third-party data (property, business verification, sanctions)
- Appetite guide and rating rules
- Policy admin / underwriting workbench
Guardrails
- No binding decisions are automated; the workflow triages and prepares. Declines outside appetite are drafted and sent after a human click unless the carrier chooses to automate below a threshold.
- Every extracted field carries confidence; low-confidence fields are highlighted for verification before rating.
- Appetite and rating rules are versioned and owned by underwriting management, not embedded in prompts.
- Sanctions screening is mandatory and blocks progress on a hit.
Automate intake and triage, not the underwriting decision
The underwriting judgement — is this risk priced right, what conditions, what capacity — stays with the underwriter. What the workflow removes is the two to four hours per submission spent turning attachments into a file: classifying documents, keying data, chasing missing pieces, running the same checks. That work is mechanical and it is exactly what delays quotes. Carriers that automate intake typically cut submission-to-quote time by days and free underwriters to look at more risks, which is where the hit-ratio improvement comes from.
Appetite rules as code, owned by underwriting
The appetite guide lives in a versioned rules table — class codes, states, revenue bands, loss-ratio thresholds, limit caps — that underwriting management edits. The workflow applies it and reports which rule fired. That is more transparent than the current state at most carriers, where appetite is partly in a PDF and partly in senior underwriters' heads, and it makes the fast decline honest: the broker gets the reason.
The summary and the questions
The agent's summary is the page an underwriter would write for themselves before starting: what the business does, the exposures that matter for this line, the loss history as a story rather than a table, what third-party data confirmed or contradicted, and the indicative premium with its drivers. The questions list — 'confirm sprinkler status at location 2', 'explain the 2024 liability claim' — goes to the broker in the same message as the acknowledgement, so answers arrive before the underwriter opens the file.
What it connects to.
| Tool | Role in this workflow |
|---|---|
| n8n | Intake, extraction pipeline, rules, routing |
| Claude | Attachment classification, data extraction, summaries, broker requests |
| Policy admin / workbench (Duck Creek, Guidewire, Applied, or in-house) | System of record |
| Third-party data providers | Property, verification, sanctions |
| Outlook / Gmail | Submissions and broker correspondence |
Want this running without building it?
$297/month
We set it up in your tools, run it on our servershost it on our n8n cloud (or deploy it to your own n8n, Make or Zapier), watch it, and fix it when something changes. Setup included, cancel monthly; the automation stays yours if you leave.
$8,000–15,000 one-time
Your systems, your rules, your edge cases. A one-off build delivered into your accounts to keepon Claude and n8n, delivered into your accounts to keep, with documentation and a recorded walkthrough.
The subscription covers a single line of business with standard ACORD forms and up to 300 submissions a month. Multi-line appetite logic, rater integration and policy-admin integration are a custom build; carriers and MGAs usually need the custom path.
Also sold one-time, installed in your own accounts, as part of the insurance agents & brokers package — do it yourself $49 · installed for you $249 · done for you $490.
When this becomes a custom build.
The subscription covers the standard version — $297/month, setup and maintenance included. Three things move it to a custom build ($8,000–15,000 one-time), delivered into your accounts to keep. If one of them is you, say so on the audit and the plan prices both.
More than one line of business with appetite rules that interact.
Integration with your rater or policy-admin system so the file is quoted, not just assembled.
Submissions above 300 a month, or non-standard forms that need their own extraction templates.
Running the standard version first is the usual path: the exceptions it logs in the first month are the scope of the custom build, with your own numbers. How custom builds work.
Frequently asked questions.
Does it make underwriting decisions?
No. It triages against your appetite rules, prepares the file and drafts declines and requests. Binding, pricing and conditions remain with the underwriter. Automated declines below a threshold are optional and configured by you.
Which policy systems does it integrate with?
Any with an API — Duck Creek, Guidewire, Applied Epic, Majesco and in-house systems — as part of the custom build. The subscription version delivers the file to a queue (email, Slack or a sheet) without a system integration.
How does it handle loss runs from different carriers?
Loss-run extraction normalises different carrier formats into a standard claims table (date, cause, paid, reserved, status) with confidence scores; unusual formats are flagged for review.
What can AI do for insurance agents and underwriters today?
Reliably: read submissions and documents, extract and validate data, check completeness, apply written appetite rules, summarise a file and list the open questions. Not reliably, and not in this workflow: make the underwriting decision, set the price outside the rating rules, or bind. The line is drawn so a person decides and the automation prepares.
Is automated underwriting compliant with insurance regulation?
Intake and triage automation stays inside the rules because it does not decide: every rule is one underwriting wrote and can change, every extracted field keeps its source document, and every file records what the automation did. Where a regulator requires an explanation for a decline, the appetite rule that triggered it is the explanation.
What this blueprint is built on.
Vendor documentation the steps rely on, and the rules the guardrails are written against.
- ACORD — Standards and architecture www.acord.org/standards-architecture
- NAIC — model laws and regulations content.naic.org/model-laws
- n8n docs — AI Agent node docs.n8n.io/integrations/builtin/cluster-nodes/root-nodes/n8n-nodes-langchain.agent/