Sector Profile · / 02

Insurance & MGAs

Streamline underwriting, claims, and broker channels with modern data and AI.

Operations playbook →Legacy playbook →AI playbook →Regulatory playbook →

Operational Pain Points

Underwriting bottlenecks, slow claims cycles, and broker portals that hurt distribution.

In insurance, distribution punishes friction instantly: a broker who waits two days for a quote submits the next risk somewhere else. Underwriting desks drown in unstructured submissions, claims cycles stretch because information arrives by email, and the broker portal — the storefront — is the least-loved system in the estate. Speed to quote and speed to settle are the whole game.

Instrument the submission-to-quote funnel and publish the cycle time weekly — visibility changes behavior fast.
Rebuild broker-facing flows around the broker's workflow, not the policy admin system's data model.
Attack claims cycle time with straight-through processing for the clean majority of claims.
Create a data spine so underwriting, claims, and finance stop arguing about whose numbers are right.

Legacy System Issues

Policy administration systems built decades ago, fed by spreadsheets and email.

The policy admin system is the core of the estate and often older than the underwriters using it. Around it: rating spreadsheets that are the real product engine, document folders that are the real claims file, and email that is the real integration bus. Replacing the PAS is a famous graveyard of insurance IT projects — the craft is in sequencing what moves off it, and when.

Extract rating logic out of spreadsheets into a governed rating service brokers can hit via API.
Wrap the PAS with an integration layer so new products stop requiring PAS surgery.
Migrate one line of business end-to-end as the pattern-proof before any broader replatform.
Kill the email-as-integration habit with structured intake before it kills a renewal season.

AI Opportunities

Submission triage, risk scoring, claims summarization, and loss-run intelligence.

Insurance is document-native, which makes it AI-native. Submission triage that reads broker emails and ACORD forms, loss-run extraction that turns PDFs into underwriting signals, claims summarization that gives adjusters the file in minutes — these are production-ready plays with measurable loss-ratio and expense-ratio impact. The constraint is explainability, not capability.

Deploy submission triage first — it compounds, because better intake improves every downstream model.
Build loss-run and schedule extraction to give underwriters structured history in seconds.
Give adjusters claim-file summarization with citations back to source documents.
Keep pricing models explainable and file-ready — regulators will ask, and "the model said so" fails.

Regulatory Complexity

State-by-state compliance, data residency, and explainability of pricing models.

Fifty states means fifty rulebooks — rate filings, market-conduct exams, data residency, and a rising bar on algorithmic pricing. NAIC model bulletins on AI governance are becoming exam questions. For MGAs, carrier partners add another compliance perimeter on top. Architecture that treats jurisdiction as a first-class concept is the difference between scale and settlement.

Model jurisdiction as data, not as code branches — new-state expansion becomes configuration.
Maintain a filed-rate-to-deployed-rate reconciliation so what you charge is provably what you filed.
Adopt an AI-governance framework mapped to NAIC guidance before a carrier partner demands it.

Signals

You know it's time when…

Brokers quote your quote-turnaround time as the reason they place business elsewhere.
The rating engine is a spreadsheet, and one person understands it.
Claims leakage reviews keep finding the same information-latency root cause.
A PAS replacement has been "next year" for four consecutive years.
A carrier partner or state exam just asked how your pricing models are governed.
New-state expansion takes quarters because compliance logic is welded into code.

Engagement

How the climb typically unfolds

Weeks 1–3

Diagnose

Walk the submission-to-quote and FNOL-to-settle funnels end to end, inventory the spreadsheet-and-email shadow systems, and size the cycle-time cost in loss-ratio and expense-ratio terms.

Weeks 4–10

Stabilize

Ship structured intake and submission triage, extract the rating spreadsheet into a governed service, and give the broker channel one visible win to rebuild distribution confidence.

Months 3–9

Modernize

Sequence the PAS strategy — wrap, migrate a line, or replace — with a jurisdiction-as-data architecture and AI governance accumulating evidence as the program runs.

Months 9–12

Hand off

Install the permanent technology leader, hand over carrier and vendor relationships, and leave a roadmap the board has already seen working.

Field Notes

Carriers and MGAs in the mid-market share a predicament: the product is a promise wrapped in documents, and the documents run on systems built when fax was modern. Meanwhile distribution — brokers, wholesalers, program partners — measures you in hours. The gap between document-speed and broker-speed is where growth dies, and closing it is the whole point of transformation in this sector.

The estate, honestly described

Every insurance technology estate we walk into has the same three layers. There’s the policy admin system of record — old, load-bearing, feared. There’s the official modern layer — a portal, maybe a data warehouse, a BI tool. And there’s the real operating layer: rating spreadsheets, shared mailboxes, and PDF folders where underwriting and claims actually happen. Transformation that only touches the first two layers changes nothing; the third layer is the business.

So we start there. Structured intake replaces the shared mailbox. The rating spreadsheet becomes a governed service with version history and an API. The claims file becomes queryable. None of this requires touching the PAS — which is exactly why it works fast.

AI, with a filing cabinet’s worth of caveats

Insurance is the most document-dense industry in the mid-market, which makes it the most AI-leveraged one. Submission triage, loss-run extraction, and claim summarization are shipping today with measurable expense-ratio impact. But the sector’s AI ceiling is set by explainability: anything that touches rate must be defensible to a regulator, a carrier partner, and a plaintiff’s attorney. We build to that bar from the first model — because retrofitting governance onto a pricing model is how programs get shut down.

Why fractional works here

Insurance transformation needs an executive who speaks underwriting and engineering, has survived a PAS decision, and knows what a market-conduct exam feels like. Those people are rare and expensive full-time. As a Sherpa, one embeds with your team a few days a week, runs the climb, and hands off to a permanent leader with the hard decisions already de-risked.

FAQ

Questions insurance & mgas leaders ask us

We're an MGA, not a carrier — does this still apply?

Even more so. MGAs live and die on speed to quote and carrier confidence. The same plays — structured intake, a governed rating service, jurisdiction-as-data — are what let an MGA add programs and states without adding proportional headcount, and what make carrier due diligence a formality instead of a fire drill.

Should we replace our policy administration system?

Usually not first. PAS replacements fail when they're asked to fix operational problems that live outside the PAS. Wrap it, move rating and intake off it, migrate one line of business as proof, and then decide — with real evidence — whether full replacement clears the bar.

Can AI actually price risk for us?

AI's near-term wins are around the pricing decision, not inside it: triage, extraction, summarization, and signal preparation. Models that touch rate need to be explainable and consistent with filings. We deploy those only with governance that survives a market-conduct exam.

How fast can we see results?

Structured intake and submission triage typically land inside the first quarter and are felt by brokers immediately. The deeper modernization runs on a nine-to-twelve-month arc, with each slice shipping visible value on the way.

Adjacent Sectors

Related expertise

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