AI systems for modern insurance carriers.

Operational AI infrastructure for FNOL, claims handling, underwriting, policy servicing, and distribution — built around how your carrier actually runs.

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Insurance Operations for the AI Era Scroll to Explore more

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You are losing time and revenue in predictable places

We have mapped operations at regional carriers, MGAs, and national specialty lines. The specifics change. The friction points do not.

01

FNOL is a phone tree and a spreadsheet

First Notice of Loss comes in after hours, on weekends, and across time zones. The intake agent captures a few fields, queues a callback, and the policyholder waits 18 hours for the first conversation. By the time the adjuster has the file, the photos are already on Facebook.

Operational signal Initial contact lag · 12–24 hrs after FNOL
02

Claims documents arrive in twelve different shapes

Police reports, repair estimates, medical bills, photos, contractor invoices — every one a different format, every one re-keyed into the claims system. The adjuster spends more time data-entering than adjusting.

Operational signal Doc handling · 35–55% of adjuster day
03

Underwriting decisions sit on supplemental requests

An underwriter asks for one more document and the application stops. The agent calls the insured, the insured emails a PDF, no one tracks the cycle. Three weeks later, a clean risk has shopped elsewhere.

Operational signal Avg. cycle drag · 3–8 days per supplemental
04

Policy administration eats the back office

Endorsements, renewals, cancellations, address changes — every one a form, every one a phone call, every one a manual update across the policy admin system, the agent portal, and the GL. Errors compound across the chain.

Operational signal Service ratio · 1 CSR per 800–1,200 policies
05

Fraud signals are noticed too late

Patterns that would flag a suspicious claim — repeat parties, repeat shops, repeat timing — show up in three different systems. SIU sees them after the payment goes out. Recovery is a fraction of prevention.

Operational signal Avg. fraud detection · post-payment, not pre
06

Agents are paid to sell and stuck doing service

Producers spend half their week on COIs, certs, renewals, and 'just one more form.' The carrier expects the agent to be the customer interface, but the work the customer needs is admin work — and it kills new business.

Operational signal Producer service work · 40–55% of week

The operational lifecycle of an insurance carrier

Before we talk about AI, we map the machine. Every carrier we work with starts here — the four operational surfaces every policy and claim touches, and the work that happens on each.

Stage 01

Quote & underwriting

From submission to bound policy. Where speed wins business — and bad data costs portfolios.

  • Submission intake Agent, broker, direct — multi-channel
  • Risk data pull Carrier APIs, MVR, prior loss runs
  • Rate & quote Run, compare, present
  • Supplemental chase Missing docs, follow-ups, escalation
  • Bind & issue Policy creation, doc package, agent comm
Stage 02

Claims operations

The middle of the funnel — FNOL through settlement. Where customer experience and loss ratios both get decided.

  • FNOL capture Phone, web, app, chat, after-hours
  • Triage & assign Severity, line, geography, adjuster
  • Document intake Photos, reports, estimates, bills
  • Estimating & reserves Damage, ALE, BI, reserves
  • Settlement & payout Approval, payment, close
Stage 03

Policy servicing

Everything that happens between bind and renewal — and decides whether the policy renews at all.

  • Endorsements Coverage changes, named insureds, vehicles
  • Renewals Re-rate, re-quote, re-issue, communicate
  • Billing & lapse Invoices, payment plans, reinstatement
  • COIs & docs Certificates, e-sign, policy delivery
  • Cancellations Mid-term cancels, refunds, agent notice
Stage 04

Distribution & service

Agents, brokers, and policyholders — the front line that defines the carrier's reputation.

  • Agent enablement Quote support, product training, comp
  • Broker submissions Multi-line brokerage workflow
  • Policyholder service Phone, chat, portal, app
  • Marketing & retention Renewal nudges, lifecycle comms
  • Knowledge retrieval Coverage forms, endorsements, rules

AI is infrastructure, not a replacement for your adjusters and underwriters

We do not believe in an "AI adjuster." We believe in an AI operations layer that takes the predictable, repetitive, system-to-system work off your team so your licensed staff can spend their time on the work the policy requires.

AI handles

The predictable, the repetitive, the system-to-system.

  • FNOL intake & triage
    Conversational capture, severity scoring, adjuster routing
  • Document classification
    Police reports, estimates, bills, photos — sorted and indexed
  • Supplemental chase
    Identify missing docs, send requests, track receipt
  • Policy admin orchestration
    Endorsements, renewals, cancels — across systems
  • Knowledge retrieval
    Coverage forms, endorsements, carrier rules
  • Communications
    Claimant updates, policyholder service, agent comms
  • Fraud signal aggregation
    Cross-system pattern detection for SIU
Humans handle

The coverage decisions, the reserves, the sign-off.

  • Coverage determination
    What is — and is not — covered
  • Reserve setting
    Adjuster judgment on exposure
  • Settlement decisions
    Negotiation, approval authority
  • Underwriting risk calls
    Bind, decline, refer to senior
  • SIU investigation
    Fraud confirmation, EUO, referrals
  • Complex customer conversations
    Denials, large losses, escalations
  • Anything irreversible
    Issued policies, paid claims, cancellations
Anything regulated passes through a human.

Coverage determinations, reserves, settlements, declinations, cancellations. The AI drafts, organizes, and surfaces — your licensed adjusters and underwriters decide and sign.

What we actually build

Six systems that map to the operational realities of running a carrier. None of them are chatbots. All of them are operational infrastructure that connects the tools you already use.

FNOL Intake & Triage

01 · Claims

Loss notices captured 24/7 across phone, web, and chat — qualified, classified, and routed to the right adjuster before staff arrives.

Capture Extract Severity score Coverage match Route Acknowledge
Avg. routing time < 60 sec
Coverage 24 / 7 / 365 multi-channel
Human checkpoint Adjuster accepts triage
Touches: Phone · Web · Chat · Claims system

Documents-to-File Pipeline

02 · Claims

Photos, reports, estimates, and bills get parsed, classified, and filed to the claim file with structured data extracted into the system of record.

Receive Classify Extract fields File to claim Notify adjuster
Doc types Police, medical, repair, photo
Re-keying time 70–90% reduction
Human checkpoint Adjuster confirms classification
Touches: Email · Fax · Portal · Claims system

Submission & Supplemental Engine

03 · Underwriting

Broker submissions are parsed, risk data is pulled, missing items are chased on a cadence — underwriters see complete submissions instead of half-files.

Submission Risk pull Gap detect Chase Complete file
Submission-to-quote 3–7 days → < 24h
Supplemental cycle Auto · day 1 / 3 / 7
Human checkpoint Underwriter decides bind
Touches: Email · Carrier APIs · Loss runs · PAS

Endorsement & Renewal Engine

04 · Servicing

Policy changes, renewals, cancellations, and COIs run as orchestrated workflows — agents and policyholders get same-day turnaround, errors stop compounding.

Request Validate Update PAS Issue docs Notify
Service ratio 1 CSR → 2,500+ policies (typical)
Error rate Drop > 60% over 90 days
Human checkpoint CSR on exceptions only
Touches: PAS · Agent portal · Email · E-sign

Carrier Knowledge Assistant

05 · Knowledge

Coverage forms, endorsements, underwriting rules, and product manuals retrievable by agents and reps in seconds — always citing the source document.

Index Retrieve Cite Compose
Index scope Forms · manuals · bulletins · FAQs
Citation policy Always cite source doc
Access control Per-product, per-state ACLs
Touches: Drive · Document mgmt · Vector DB · Auth

Fraud Signal Aggregator

06 · Operations

Patterns across parties, providers, shops, and timing are surfaced to SIU before payment — not after. Suspicious files flagged with reasoning, not opaque scores.

Ingest claim Cross-reference Pattern detect Score + explain Route to SIU
Pre-payment detection Lift across known patterns
Reasoning Cited signals, not black box
Human checkpoint SIU adjudicates, not the AI
Touches: Claims system · External data · Vector DB · BI

One claim, end to end

This is what the first twelve minutes of a new claim look like once the operational layer is in place. No after-hours backlog, no morning catch-up, no first-touch lag.

Saturday 11:08 PM +12 min · claim open
Lane 01 Main flow
I.01 · +0s
FNOL submitted
After-hours web form · auto collision
System
I.02 · +3s
Extract facts
DOL, location, vehicles, parties
AI
I.03 · +5s
Coverage check
Policy in force, applicable line
AI
I.04 · +7s
Severity score
Estimated exposure, complexity
AI
I.05 · +9s
Route to adjuster
Skill match · workload balanced
AI
I.06 · +11m
Adjuster accepts
Mobile · one-tap acknowledge
Human
I.07 · +12m
Acknowledgment sent
SMS + email to claimant, claim number
AI
I.08 · +12m
Claims system sync
File created · reserves placeholder set
System
Lane 02 Parallel
+12m AI Document upload link sent: "Send us your photos" fire-and-track
+12m AI Follow-up cadence: 24h · 72h · 7d fire-and-track
+12m System Fraud signal scan queued for SIU review fire-and-track
< 1m
FNOL to acknowledgment
0
Staff hours required
12×
Faster than business-hours SLA
1
Place the claim lives (PAS)

Diagram is illustrative. Production traces include retries, fallbacks, and human-checkpoint pauses not shown here.

Fits into the stack you already run

We do not ask carriers to migrate. We build the operational layer on top of the systems you have already invested in — your PAS stays the system of record, your claims system stays the rail, and the AI lives in the seams between them.

Policy admin
  • Guidewire
  • Duck Creek
  • Majesco
  • Insurity
  • Applied Epic
  • EZLynx
Claims systems
  • Guidewire ClaimCenter
  • Snapsheet
  • ImageRight
  • DocuPhase
  • Origami
  • Custom CMS
Communications
  • Twilio
  • RingCentral
  • Outlook
  • Email
  • Chat
  • Agent portals
Workflow & data
  • ACORD forms
  • ISO ClaimSearch
  • LexisNexis
  • n8n
  • Slack
  • Vector DB
Read where the data lives

We do not replace your PAS or claims system. They stay the system of record. The operational layer is additive.

Write back with audit trails

Every AI write is timestamped, attributable, and reversible. Regulators and auditors see a clean trail.

Custom systems welcome

Legacy mainframe, AS/400, in-house policy admin — we integrate where your work already lives.

How we think about AI inside a carrier

01

AI is operational infrastructure.

Not a feature, not a chatbot, not a magic button on a marketing page. The work it does is the same work your staff has always done — moved into a system where it runs reliably.

02

Accuracy is the floor.

Insurance is a regulated business. If a system is not measurably more accurate than your current process, we do not ship it. We measure, calibrate, and disclose drift to compliance.

03

Operational fit beats novelty.

The best AI system is the one that disappears into the carrier's actual workflow. If staff have to change how they work to use it, it is the wrong system.

04

Humans stay in the loop on coverage.

Coverage calls, reserve setting, settlements, declinations, fraud confirmations — all go through a licensed adjuster or underwriter. The AI prepares, drafts, and surfaces.

Insurance & Legal · Featured Deployment

A Multi-Agent AI Intake System for Defense-Side Claims

How a Florida personal injury defense firm built a six-agent AI intake system — greeting, qualifying, classifying case type, and pushing structured lead data straight into the firm's case management. The operational pattern carriers use for FNOL.

Read the case study

Ready to get started?

Book a consultation to discuss your AI strategy and see how we can help.

Get Started Now
How long does an engagement actually take?
A first system — typically FNOL triage or supplemental chase — is in production inside 4 to 8 weeks. We start with a workflow audit, ship a single high-leverage system end-to-end, and only then expand.
What does this look like for the carrier during build?
A weekly working session with a claims, underwriting, or operations lead, async access to an adjuster or CSR for workflow questions, and read-only credentials into the systems we are integrating with. No new platform to learn until the system is live.
How is PII and policy data protected?
Data stays inside your existing systems. We do not store carrier data in our infrastructure. Models we use are configured to not retain prompts, access is scoped per role and per state, and audit trails are written to your PAS or claims system.
What happens when the AI is wrong?
Every system has a human checkpoint at the regulated decision — coverage, reserve, payment, decline, cancel. The AI surfaces and drafts; a licensed person accepts. Errors are logged, reviewed weekly, and fed back into the system.
Do we need to switch off our current PAS?
No. Your PAS — Guidewire, Duck Creek, Majesco, in-house — stays the system of record. We build on top of it. The operational layer is additive.
How is this priced?
Fixed-fee for the initial audit and the first system. Retainer for ongoing operations, optimization, and additional systems. We do not bill hourly for AI work — outcomes, not seat time.

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