Insurtech operations break in a different place than a traditional carrier’s: the software scales overnight, but the people who handle exceptions, claims and angry customers do not. That is why many digital-first carriers, MGAs and embedded-insurance platforms now pair their product teams with claims and servicing desks for digital insurers in Manila, staffed to grow with each launch. This guide covers what those teams do, how they fit around automation, and what an insurtech should expect on cost, speed and control.
What insurtechs need that legacy carriers don’t
An insurtech needs a team that can scale in steps with product launches, work inside modern cloud tools and review machine decisions rather than make every decision by hand. A legacy carrier usually needs the opposite: a team that fits into established systems and stable volumes.
Insurtech, in short, applies technology across the insurance value chain: AI to automate policy administration and claims, data analytics for pricing and product design, and connected devices for risk assessment. The operating model that results is lean. A startup MGA might run with a small in-house operations group until a new distribution partner doubles policy count in a quarter. At that point, the gap is not code; it is trained people who can handle the service requests, claims and edge cases the automation cannot.
Three requirements follow. The team must learn new products quickly, because insurtechs change coverage and flows often. It must be comfortable in tools such as ticketing platforms, API-driven policy systems and shared dashboards. And it must report defects back to the product team, since a spike in one question usually signals a broken screen or an unclear email.
The work a Manila team takes on
For most digital insurers, the team in the Philippines covers the full servicing and claims support chain, with licensed decisions kept onshore.
- Policy administration: handling the issuance, renewal and cancellation cases that automated flows reject, and cleaning the data behind them.
- Claims support: triaging claims routed by AI models, gathering documents, checking for fraud indicators and preparing files for adjusters.
- Customer support: round-the-clock chat, email and phone coverage, with chatbots answering routine questions and agents taking the rest.
- Data processing and analytics: labeling, validating and reporting on policy and claims data so product and pricing teams can trust it.
- Specialized support: underwriting file preparation, actuarial data work and reinsurance administration such as bordereaux preparation.
Embedded products add another layer. When insurance is sold at checkout by a travel site, a car marketplace or a retailer, the customer often contacts the seller first. Our piece on travel insurance claims support for online travel agencies shows how a team can serve both the platform and the insurer without confusing the customer.
Keeping humans in the loop on automated decisions
The offshore team’s most valuable role in an insurtech is often reviewing what the models decide. Automation handles volume; people handle uncertainty, fairness and the cases that fall outside the training data.
In practice, that means a clear routing design. Claims under a threshold with clean data may pay straight through. Claims with low model confidence, missing documents or fraud signals route to the Filipino reviewers, who check the file against policy terms and either approve under their authority or escalate. The same pattern applies to underwriting: models pre-fill risk data from third-party sources and connected devices, and reviewers verify anything that looks inconsistent.
Reviewers also produce the feedback that improves the models. Each override, with a short reason code, becomes training data. Insurtechs that capture those reasons in a structured way get better automation over time; those that do not keep paying people to fix the same errors. Our article on modernizing core insurance systems without stalling service covers the same discipline from an established carrier’s side.
Why the model suits digital-first insurers
The Philippines combines an English-speaking, service-oriented workforce with mature digital infrastructure and supportive government policy, which is the mix a fast-growing insurer needs.
Talent is the main draw. Philippine universities produce graduates in finance, management and information technology every year, and many enter the services industry, where they learn to work in cloud tools and written channels. Filipino agents are familiar with American culture and communication styles, which helps on sensitive claims conversations. Infrastructure in the Philippines has improved as well, with widespread internet coverage in the main business districts, a growing base of data centers and a startup scene that is comfortable with modern software. On policy, the Philippine government offers incentives to registered enterprises and has invested in digital skills, and a national data privacy law governs how personal information is handled.
Time zones work in an insurtech’s favor as well. A team in the Philippines working the US overnight shift can clear the claims and service queue that built up during the day, so the onshore team starts each morning with a clean backlog. Once volumes justify it, a second site in Cebu or another Philippine city adds resilience during typhoon season without a change in tools or process.
Cost and speed to launch
For a startup, speed usually matters as much as price. With a vetted provider and documented flows, operations can launch in under eight to ten weeks, following our seven-step vendor vetting framework, which also keeps the shortlist to providers that passed a forensic security audit.
On cost, the calculator on our pricing page in 2026 starts from a $12/hour fully-loaded base rate that already includes team-lead and QA supervision, against a US in-house benchmark of $33/hour, with typical savings of 50–70% versus US in-house staffing. For an insurtech, the saving matters most because it lets the company add trained capacity ahead of a launch instead of after the backlog appears.
Contract structure deserves attention too. Insurtechs should ask for ramp-up and ramp-down terms that match their launch calendar, clear ownership of any knowledge bases or scripts the team writes, and access controls that let the company revoke system access instantly.
Trends to plan for over the next few years
New product designs change what the operations team does, so plan the staffing model around where your products are heading rather than where they are today.
Parametric insurance pays automatically when a trigger, such as a wind speed or flight delay, is met. The operations work shifts from assessing losses to verifying trigger data, handling payment exceptions and explaining payouts. Peer-to-peer and community models need clear, frequent member communication. Blockchain-based records, still early in insurance, may simplify policy issuance and reinsurance reconciliation, but they will not remove the need for people who can resolve disputes. For a wider view of how the offshore insurance sector has developed, see our 2026 outlook for the insurance back office.
Frequently asked questions
How small can an insurtech’s first offshore team be?
Many Philippine providers will start with a small pod, often a handful of agents plus a team lead, provided the processes are documented. Ask whether the lead and quality analyst are shared or dedicated at that size.
Can the team work in our own tools?
Yes. Most insurtech engagements run inside the client’s ticketing, CRM and policy platforms through secure access, which keeps data in one place and makes offboarding simple.
Who is accountable when an AI decision is wrong?
The insurer remains accountable to the policyholder and the regulator. Define in the contract which decisions the offshore reviewers may make, which they must escalate, and how overrides are logged.
Does the team need insurance experience before hiring?
Team leads and quality analysts should have it. Front-line agents can be trained if the provider runs a structured insurance curriculum and certifies them on your products before go-live.
