The engine room, run to 99.7% accuracy — and audit-ready.
Manila-based data, document, order and finance processing under maker-checker controls — every transaction independently verified, reconciled and logged, under SOC 2, ISO 27001 and GDPR, at a fraction of the cost per transaction.
What back-office outsourcing services actually are.
Back-office outsourcing is the delegation of transactional and administrative processing — data entry, document processing, order management and finance operations — to a specialized provider, run under maker-checker controls to accuracy and turnaround targets.
The processing numbers that decide whether your back office can scale.
Throughput, accuracy and turnaround from PITON-Global-vetted Philippine back-office teams, set against the in-house and commodity-offshore baseline — the figures an operations leader should be underwriting, not hoping for — 99.7% transaction accuracy under 100% maker-checker across 2025–26 vetted engagements (BO-057); the 78% STP and 1.8% exception rate carry the same provenance.
Four kinds of engine room, controlled four different ways.
Where the error would land — the policy, the close, the order, the audit — is different in each, which is why the same page reads differently depending on what you process.
Document-heavy processing where every delayed item is a delayed policy and a broker on the phone. BO-058 is this engine room, measured.
F-class territory: AP/AR, payroll, settlements under SOX-grade dual control — the close that reconciles first pass.
High-volume R-class flows — order keying, catalog, returns processing — where the absorption number runs deepest and the exceptions still get a human.
Claims-adjacent processing, records handling, PHI-scoped controls — where the audit trail is the deliverable.
A back-office mistake never stays in the back office. It travels.
The mis-keyed invoice doesn’t fail in the processing queue — it fails three weeks later as a supplier on the phone, a duplicate payment, or a month-end close that won’t reconcile. The mis-classified document fails as a policy that can’t issue, a claim that pays wrong, an audit finding with your CFO’s name on the response. This is why per-task pricing is the wrong lens: the task’s price is visible on the invoice; the error’s price is distributed across every function downstream of it — where nobody books it against the vendor who caused it.
on 100K transactions/year
Each failure carries rework hours, customer contacts, and a slice of audit risk. The gap between those two numbers is the real product of this page — and it never appears on a per-FTE quote.
The calls that were never made, the close that reconciled first pass, the audit that found nothing. The loop below is how; this is why the how is worth paying for.
How a transaction reaches 99.7% accuracy.
Accuracy is a control, not a hope. Every transaction is made by one specialist, independently verified by a second, reconciled against the source system and logged — the loop below is the difference between a processor and a data-integrity operation.
Why the Philippines runs the world’s back office.
Accuracy at scale is a talent-and-discipline problem, and the Philippines solves both — a deep, process-literate, English-fluent workforce with the operational maturity to hold controls while cost per transaction drops.
Where a controlled processing operation doesn’t fit — and the prerequisite that outlives your staff.
How controlled accuracy is run.
Accuracy at scale is engineered through controls and continuous improvement. The discipline below is what separates a data-integrity operation from a keying farm.
Where the 6.7× return comes from when the record is right.
From four streams a per-FTE rate ignores: rework eliminated, penalties and leakage avoided, working-capital acceleration, and labor arbitrage. The cheapest transaction is the one processed right the first time.
Indicative 2026 rates — the control roles shown apart from the seat.
A processing seat has a market rate; the analyst who owns the 1.8% exception rate, and the engineer whose runbooks make the operation survive turnover, do not.
EQUIVALENT
EQUIVALENT
The two premium rows have no commodity equivalent because a keying farm staffs neither: exceptions are re-keyed instead of resolved, and process knowledge lives in whoever hasn’t quit yet. Rates confirmed per engagement against process mix and volume.
Price my process against the 99.7% standard →How an insurer cleared a 40-day document backlog and kept it at zero.
Policy paperwork piled up faster than a stretched admin team could process it — and every delayed document was a delayed policy and a broker on the phone.
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accuracy
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A mid-market insurer ran policy admin and document processing on a thin in-house team that had fallen 40 days behind. Each backlogged document delayed a policy, brokers chased daily, and errors crept in as the team rushed to catch up.
We sourced a back-office processing team across Manila and Davao trained on the insurer’s systems and rules, with maker-checker review on every item, daily throughput targets tied to the inbound curve, and an accuracy QA sample on each batch.
The 40-day backlog cleared in seven weeks and has stayed at zero, accuracy held at 99.6% under maker-checker, and cost per processed item fell 52%. Brokers stopped chasing and policies issued same-day.
“The backlog just disappeared and never came back. Brokers get same-day turnaround now, and the error rate is lower than when we did it ourselves.”
One process, full loop — AP invoice processing only, everything else untouched.
Mid-market manufacturer, 18K invoices/month, all other back-office functions retained in-house. Identity withheld under NDA.
AP was the squeaky wheel: 11-day processing cycles, an error rate around 2.8% surfacing as duplicate payments and supplier calls, early-payment discounts expiring un-captured, and the finance team’s month-end close waiting on invoice backlog every single month. No systemic crisis; one process class, measurably underwater.
A single-process deployment — AP only, the full loop applied: OCR capture, maker processing, 100% checker verification (F-class dual control), reconciliation to the SAP source, exception analysis feeding a versioned runbook built in week one. Every other function stayed in-house; the engagement’s entire footprint was one flow the client could audit against its own history.
The flagship (BO-058) proves the rescued function; BO-064 proves the entry point — one process class with the client’s own books as the baseline, which makes the attribution self-auditing: finance can verify every claimed delta against its own ledgers. And the sequencing is the sale: a CFO who watched AP go audit-clean in a quarter knows exactly which process goes next — with the taxonomy already mapping the order. The engine room doesn’t have to be outsourced at once; it has to be controlled one process at a time.
What back-office processing bundles with — and how.
A structured map of how transaction processing 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 classify a process for controls?
Process type drives the control level, automation potential and SLA. These are the working categories — with examples — that govern how work is run and verified.
Of every hundred transactions, automation clears seventy-eight. Here’s what that means in FTEs.
Straight-through processing isn’t a technology boast; it’s a staffing equation. On a typical 80-FTE-equivalent processing scope, document AI and RPA absorb the rules-based volume — the R-class work in the taxonomy above — which converts to capacity the client never staffs, while the specialists who remain concentrate entirely on J-, F-, and C-class work: the exceptions, the judgment calls, the regulated dual-control items.
The honest mechanics: absorption is a property of your process mix — a rules-heavy AP queue automates deeper than judgment-heavy casework — so we model the number against your taxonomy on the scoping call, not from a brochure.
The processing discipline we insist on, from the principals.
“In back-office work the error you do not catch becomes the audit finding you cannot explain. Maker-checker is not overhead — it is the whole product.”
“Anyone can quote a low price per FTE. I ask for the accuracy rate and the exception rate — the two numbers that tell me whether you are buying processing or buying rework.”
The Invisible Engine — Back-Office Outsourcing to the Philippines
An analysis of cost-per-transaction economics, accuracy and turnaround benchmarks, function-by-function offshore suitability, and vendor-selection discipline across finance, order, and document operations. Volume 5 of PITON-Global’s 20-part Executive White Paper Series, by John Maczynski and Ralf Ellspermann.
Where the back-office conversation is happening.
Tell us your volume and accuracy target. We’ll name the teams that hold it.
Share your process mix, transaction volume and accuracy SLA. We return a vendor-neutral shortlist of Philippine back-office teams that have proven the numbers on this page — at no cost to you.
Get the shortlist →What operations leaders ask before outsourcing back-office.
In-depth answers to the questions that decide a back-office engagement — from the principals who run them.