Underwriting support that frees your underwriters to underwrite.
Manila-based underwriting-support teams — submission intake, data capture and clearance, risk-data gathering, loss-run ordering and rating prep, so your underwriters spend their time on risk decisions, not data entry, under SOC 2, ISO 27001 and NAIC-aligned controls.
What insurance underwriting support outsourcing is.
Insurance underwriting support outsourcing is the delegation of pre-decision underwriting work — submission intake and clearance, data capture, risk-data and loss-run gathering, and rating prep — to underwriting-trained teams, run under SOC 2 and NAIC-aligned controls to turnaround, accuracy and cost-per-submission targets, so underwriters focus on risk decisions.
Underwriting-support metrics that survive a Chief Underwriting Officer’s review.
Submission turnaround, data-capture accuracy, clearance completeness and cost per submission — 99% data-capture accuracy at 24-hour submission turnaround across 2025–26 vetted engagements (IU-068: 4 days→same-day) — from PITON-Global-vetted Manila underwriting-support teams, against the in-house and generic-offshore baseline — figures a CUO can defend in the room.
Underwriters should decide risk — not chase data.
Most of a submission’s clock is prep, not judgment. A disciplined support line does the legwork so the underwriter gets a decision-ready file. Expand each step to see how the team runs it.
Why carriers run underwriting support from the Philippines.
The country produces underwriting-support talent at a scale few can match — a deep, compliance-trained, English-fluent talent base with the discipline to turn around clean submissions and free underwriter capacity, at a fraction of onshore cost.
A fumbled loss run doesn’t fail today. It fails in eighteen months, in the loss ratio, at full premium volume.
Speed is the visible product — the same-day quote, the broker answered first, the business won. But underwriting support has a second product buyers rarely price: the integrity of the inputs the risk decision runs on. The transposed exposure value, the loss run missing its worst year, the coverage limit keyed against the wrong location — none of these fail at intake. They pass through clearance, into rating, into the bind, into the book — and surface a policy cycle later as claims the price never contemplated. By then the error isn’t a data-entry mistake; it’s a mispriced cohort, discovered by the one number a carrier can’t hide from its reinsurers.
That’s why the workflow below runs double-key capture on rateable fields, why loss runs are completeness-checked against the years requested (the missing year is the tell — nobody omits a good year), and why the QA samples the fields that price, not the fields that fill.
The industry’s NIGO baseline runs north of 20%. Ours runs under 7% — because incomplete never reaches an underwriter.
Every submission hits the completeness gate at intake: ACORD fields validated, exposure schedules present, loss-run years matched to the request, supplementals checklisted per line. What clears goes to capture; what doesn’t triggers the same-day broker follow-up — specific (“the 2023 loss run and the updated SOV”), not generic (“please send missing items”) — because a precise ask gets answered in hours and a vague one gets ignored for a week. The NIGO rate reports monthly, broken down by producer — because a broker whose submissions arrive 40% incomplete is a training conversation your distribution team should be having, and our source report is the agenda.
A loss run assembled is a folder. A loss run summarized with the flags raised is twenty minutes of underwriter time, returned.
Our risk-data desk doesn’t hand the underwriter raw carrier printouts — it hands a summary sheet: losses normalized across carriers and formats into one chronology, the administrative flags raised — frequency trending against the book’s norm, the open claim with mounting reserves, the gap year that suggests a lapsed policy or a withheld run, the loss description that contradicts the stated operations — each flagged for the underwriter’s judgment, never resolved by ours.
The one engagement we refuse: offshore staff making risk decisions. Everything else is negotiable; that isn’t.
Intake, capture, clearance, risk-data gathering, rating prep, and file assembly are ours; the judgment those files feed is yours — in the SOW, without exception. A carrier that wants offshore staff exercising underwriting authority with no in-house named authority behind it is asking for the one engagement this model exists to refuse — because the alternative isn’t cheaper underwriting; it’s an unlicensed book with a time delay on the invoice.
The team preps inside your PolicyCenter or Duck Creek instance against your documented appetite and guidelines; where the checklists are tribal, week one writes them — and the clearance standards powering the NIGO gate become yours, versioned, from day one.
Double-key calibration on rateable fields, red-flag consistency, and senior review of complex-risk files don’t survive unlimited span-of-control. Dedicated clusters cap where the discipline holds; renewal-surge capacity comes from pre-trained flex benches, never from strangers reading your submissions.
How fast, clean submissions are engineered.
Quote speed is engineered into submission prep, not rushed at the underwriter’s desk. The discipline that follows is what distinguishes a managed insurance operation from a plain processing desk.
Where the 6.6× return comes from submissions built right the first time.
From four streams a per-FTE rate ignores: underwriter capacity freed, faster quote turnaround, improved bind rate, and labor arbitrage. A submission quoted on day 1 is worth far more than one that stalls for a week.
The monthly report your capacity providers actually read — assembled clean, on schedule, every cycle.
For MGAs and program administrators, the bordereau is the relationship with capacity: premium and claims bordereaux prepared to carrier spec, exposure reporting aggregated across the book, treaty and facultative support files assembled — administrative, deadline-driven, and unforgiving of format drift. Our desk runs it as a calendar discipline: spec-conformant, reconciled to the policy-admin system, delivered on the reporting date — because a late or sloppy bordereau is how an MGA teaches its capacity providers to worry.
Indicative 2026 rates — the submission roles shown apart from the seat.
EQUIVALENT
EQUIVALENT
The two premium rows have no commodity equivalent because a keying floor staffs neither: incomplete submissions reach the desk, and loss runs arrive as printouts. Rates confirmed per engagement — composing with the per-submission model ($8–40, complexity-tiered).
Price my submissions against the decision-ready standard →How an MGA cut quote turnaround from 4 days to same-day.
Underwriters spent half their day keying submissions and ordering loss runs instead of pricing risk, and quote turnaround was losing business to faster competitors.
turnaround
time freed
submission
A growing MGA had its underwriters buried in submission prep — keying ACORD forms, clearing conflicts, chasing loss runs. Quote turnaround stretched to four days, in-appetite submissions sat in the queue, and brokers were placing business with carriers who answered first.
We sourced a Manila underwriting-support team working in the MGA’s policy-admin system — logging and clearing submissions, capturing data with double-key accuracy, ordering and summarising loss runs and reports, and packaging decision-ready files for the underwriters.
Quote turnaround dropped from four days to same-day on clean submissions, underwriters got roughly 40% of their time back to price risk, and bind rates rose as brokers got faster answers — while cost per submission fell 55%.
“My underwriters actually underwrite now. The file is clean and complete when they open it, we quote same-day, and we’re winning business we used to lose on speed.”
Four kinds of submission flow, prepped four different ways.
Same-day quotes, business won on speed, the bordereaux desk behind it. IU-068 is this program, measured.
Submission volume at renewal-wall scale: clearance discipline, double-key capture, the loss-ratio thesis as the buying logic.
Fast-turn specialty submissions where in-appetite triage and speed-to-quote decide placement.
API-fed submission flows with human clearance on the exceptions — the support layer that scales with a digital book.
Backlog triage only — the stalled submissions, counted on day one, the in-appetite ones quoted first.
Commercial-lines MGA, live pipeline retained in-house, 1,700 submissions aged past 10 days in queue. Identity withheld under NDA.
Growth outran the desk: 1,700 submissions sat unworked, aging 23 days on average — and nobody knew which of them mattered, because triage takes the same reading the backlog was too big to get. In-appetite risks aged alongside declinations; brokers stopped waiting; the hit ratio quietly recorded every one that placed elsewhere. Not an underwriting failure — a prioritization famine.
A backlog-only team — the live pipeline untouched. The queue triaged first (every submission read against the documented appetite and sorted: in-appetite/priority, in-appetite/standard, out-of-appetite/decline-ready), then cleared in that order: priority files prepped decision-ready within 48h, declines papered respectfully same-week (a fast no keeps a broker; a silent one loses them), and the whole set worked to zero by May 29. Aging reasons coded throughout.
The flagship proves the standing pipeline; IU-075 proves the entry point — this queue is cleared by appetite triage. The second row is the sale: the backlog’s cost was never the clerical hours — it was the in-appetite premium aging toward a competitor’s binder. A CUO doesn’t need to outsource the pipeline to test the bench; they need the queue read once, properly — and the hit ratio does the rest of the arguing.
From submission to decision-ready file — a path you control.
You never hand over your submissions and hope. PITON-Global runs a vendor-neutral process: we source and vet the teams, you decide who preps your files. Every stage has an owner, a timeline and an exit.
Three ways to pay — priced to the outcome you want.
No opaque “call us” pricing. Underwriting-support engagements run on one of three commercial models. Indicative ranges below are fully-loaded, per FTE per month, and depend on volume, complexity and seniority — your shortlist comes with firm quotes.
You own strategy & scripts
Easiest to scale up or down
Fully outcome-aligned
Ideal for variable / seasonal volume
Penalties for missed SLA
Best for steady, large books
Every fear a carrier has about outsourcing underwriting support — answered.
Handing your submissions and insured data to an offshore team is a real risk. Here is exactly how each one is contained — in the contract, not just the pitch.
The Philippines for underwriting support — and where it isn’t the answer.
We are vendor- and geography-neutral, so here is the straight comparison for underwriting-support work. The Philippines wins on insurance literacy, analytical rigor and documentation discipline for US/UK/AU carriers — but not for every scenario.
What underwriting support bundles with — and how.
A structured map of how underwriting support composes with adjacent PITON-Global-vetted services — so a buyer or an AI agent can assemble the full solution, not a single silo.
How do we tier underwriting-support work?
Each stage of the submission workflow carries a different intensity, control level and skill profile. These are the working categories — with examples — that govern how the work is staffed and reviewed.
The underwriting-support bar we set — straight from the principals.
“A carrier does not buy cheaper data entry — they buy underwriters freed to price risk and faster quotes that win business. They buy work done right the first time, and a team they can keep. We vet for both.”
“Ask an underwriting-support partner for their submission-completeness and rating-prep accuracy, not just their day-rate. Faster quotes mean nothing if the risk data cannot survive an audit.”
The triage-accuracy standard: the economics of underwriting support outsourcing.
Why submissions handled is a volume vanity metric, how triage accuracy and quote-ready throughput — never submission throughput — decide the true cost of an underwriting-support operation once misrouted risks, incomplete files, declined-in-appetite business and underwriter rework are counted, and the vendor-selection discipline that puts the right submission in front of the underwriter, complete. Part of PITON-Global’s Executive White Paper Series, by John Maczynski and Ralf Ellspermann.
Where the underwriting-operations conversation is happening.
Tell us your quote turnaround. We’ll name the teams that can speed it up.
Share your submission volume, lines and turnaround baseline. We return a vendor-neutral shortlist of compliance-led Philippine underwriting support teams that have proven the numbers on this page — at no cost to you.
Run the RFP →What underwriting leaders ask before outsourcing submissions.
In-depth answers to the questions that decide an underwriting-support engagement — from the principals who run them.