How to launch an insurance product in under 2 months: a practical guide for MGAs

The real problem: insurance product launches still take too long

In insurance, launching a new product is almost always treated as an exceptional project. A dedicated project manager, rounds of scoping meetings, back-and-forth with IT, dependency on a systems integrator, and in the end: six months, a year, sometimes longer. All of this before the product has proven a single thing in the market.

That's the first problem. Not the timeline itself, but the fact that so many resources are committed before you know whether the product has any traction.

For an MGA, the stakes are even more direct: you operate under delegated authority, you're accountable for underwriting quality to your capacity providers, and you manage distribution and claims handling end to end. Every month of delay is revenue not written, a market window closing, or a broker partner signing with someone else.

This guide isn't a vision piece. It's an operational plan for launching in under 2 months with prerequisites, a week-by-week roadmap, expected deliverables, pitfalls to avoid, and the metrics to track.

Why "under 2 months" has become a competitive edge

The ROI case that changes the conversation

The conventional approach is to wait until the product is "right" before going to market. That's an expensive mistake, for two reasons.

First, the cost of waiting is consistently underestimated. Every additional week means revenue not earned, resources tied up on a product generating nothing, and an organisation stuck in project mode rather than production mode.

Second, the market teaches better than internal planning. An imperfect V1 deployed in 6 weeks gives you real data: conversion rates, broker objections, edge cases in underwriting. You can adjust before you scale. That is fundamentally less risky than spending 9 months designing in the abstract.

What actually causes the delays

Launch timelines don't come from any inherent complexity in insurance products. They come from legacy tooling and inherited processes:

• Siloed, unintegrated tools: a pricing spreadsheet, an ageing broker portal, a back-office with manual rekeying. Each tool requires its own setup, and every integration is a project in itself.
• IT dependency: even small changes to underwriting rules or the quote journey require a ticket, a scoping call, a development sprint. In practice, the business team doesn't truly own its own product.
• No versioning discipline: without a change history or rules governance, every product update feels risky. Teams hesitate to touch what works.
• Conflating launch with industrialisation: building the definitive system before validating the product. Scaling before there's any proof of traction.

The good news: these blockers are structural, not inherent to insurance. They can be solved, but there's one prerequisite.

The non-negotiable prerequisite: a platform your business team can configure themselves

Before discussing methodology or timelines, there's a tooling prerequisite that determines whether everything else is feasible. An 8-week launch simply isn't achievable if every product parameter goes through a developer.

This is where the concept of a no-code or low-code platform built for insurance becomes load-bearing: not as a buzzword, but as a direct answer to the problem described above. If your underwriting rules, pricing tables, quote journeys, and broker distribution portal can all be configured by your business team without writing a single line of code, the timeline becomes workable. If not, every step in the guide below will require an IT dependency, and the calendar will stretch accordingly.

What this looks like in practice:

A genuinely plug-and-play solution in this context is a platform that covers the full operating cycle: underwriting, distribution, policy administration, reporting, and exposes its configuration directly to business users, through an interface rather than a development ticket. Rules are set like filling out a form. Updates are deployed like publishing a document. A new broker is onboarded without a technical deployment.

This is what turns a "launch project" into a standard operational activity. And it's what makes fast iteration possible: if updating an underwriting rule takes 3 days (brief, estimate, development, testing), you won't iterate. If it takes 20 minutes, you'll iterate after every batch of broker feedback.

One important caveat: not everything that calls itself "no-code" covers the specifics of insurance operations. Being able to build a form is not enough: you need versioning of rules, granular broker permissions, premium billing, endorsements, policy lifecycle management, and a full regulatory audit trail. Any platform evaluation should cover this full scope, not just the ease of the initial demo.

Prerequisites: what needs to be clear before you configure anything

A failed launch in 8 weeks is still a failed launch. These prerequisites aren't formalities, they determine whether the timeline holds.

1. Segment and distribution channelWho's buying, who's selling. A product distributed direct has very different constraints from one going through 200 broker partners. Clarify the channel before anything else: broker network, affinity, B2B, digital...

2. Product scopeCovered perils, exclusions, eligibility criteria, limits. This isn't perfectionism, it's what allows you to configure underwriting rules without retracing your steps every week.

3. The delegation modelWho does what? Underwriting authority, claims handling, premium collection: delegated in full, in part, or not at all. This point is consistently underestimated. It defines the exact operational perimeter, the audit trail requirements toward the capacity provider, and the user profiles to set up.

4. Rules governanceWho can change underwriting rules? Through what process? With what audit trail? Without clear answers here, product versioning breaks down at V2.

These four points can be formalised in a week of focused work. That investment prevents having to redefine them halfway through the project.

The 8-week roadmap: from concept to first bound policy

Step 1: scope the product (Week 1)

The goal this week isn't to finalise the product. It's to establish the foundations that let the rest of the project move forward without backtracking.

Expected deliverables:

• Product scope documented (perils, exclusions, eligibility criteria)
• Target journey mapped: from quote request to policy issuance
• Roles and responsibilities matrix: underwriting, policy admin, billing, who owns what
• First draft of underwriting rules (even if incomplete)

Pitfall to avoid: treating this week as a validation meeting rather than a production workshop. The output should be written deliverables, not slides.

Step 2: configure underwriting and pricing (Weeks 2–3)

This is the technical core of the launch. The goal is to translate business rules into operational configuration.

Expected deliverables:

• Pricing tables configured (rating factors, bands, coefficients)
• Underwriting rules implemented (eligibility, limits, special conditions)
• V1 versioning documented: this is the reference baseline for measuring all future changes
• Test sets: standard cases, edge cases, declination scenarios

Key point: versioning isn't optional. Formally naming the "V1" forces you to document what was decided and why. When V2 arrives (and it always does), you know exactly where you're starting from.

Weeks 2–3 checklist:

• [ ] Pricing tables signed off by the business
• [ ] Eligibility rules tested on 20+ real cases
• [ ] Edge cases documented and resolved
• [ ] V1 tagged and archived
• [ ] Formal go/no-go before moving to step 3

Step 3: deploy distribution (Weeks 4–6)

The product is configured. Now it needs to be usable by brokers.

What this step covers:

The full journey from quote to binding, as the broker will experience it: entering criteria, receiving a premium, submitting supporting documents, automatic checks, policy issuance.

The broker-facing underwriting portal needs to be live and personalised. This includes managing profiles and authority levels (not all brokers have the same delegation), automatic chasers on incomplete submissions, and a full audit trail of every action.

Broker network onboarding: how will brokers discover the product? Who trains them? What documentation do they rely on? A well-designed product that's poorly handed to the network won't get off the ground.

Expected deliverables:

• Underwriting portal live and documented
• Profiles and authority levels configured
• End-to-end tests validated (quote to bind on real cases)
• Broker training and onboarding process defined

Classic pitfall: treating the launch as a pure "tooling project" and treating distribution as an afterthought. A product with no activated broker network isn't a launched product. Go-to-market is part of the launch.

Step 4: operate, track, and iterate from the first policy (Weeks 6–8)

The first policy is bound. The goal of this phase isn't to celebrate, it's to confirm that the product works in live conditions and to set up the improvement loop.

What this step covers:

Policy lifecycle management: endorsements, renewals, premium billing, collections. These operational processes feel secondary to the launch, but they determine scalability. Administration that relies on manual rekeying or untracked processes becomes a bottleneck quickly.

Reporting: the first weeks of live operation generate valuable data. Conversion rates, volumes by broker, unusual underwriting cases, processing times. Without instrumentation from day one, you're flying blind.

The iteration loop: what adjustments is the field feeding back? Which rule is creating unnecessary friction? Which criterion is generating too many declinatures to be meaningful? V2 should be in progress by week three of live operation, not six months later.

Expected deliverables:

• Policy lifecycle processes documented and operational
• Live portfolio monitoring dashboard
• V2 backlog populated with field feedback
• Criteria for moving to full industrialisation defined

Classic pitfalls that blow up the timeline

Underestimating delegation model definition. The most commonly rushed point in week 1. Revisiting it in week 4 means reconfiguring rules, profiles, and often the entire journey.

Launching without versioning. Without a documented V1, the first product change becomes a source of confusion. Who changed what? When? The audit trail toward the capacity provider starts to break down.

Launching without instrumentation. A product with no data is a product that can't be improved. Defining what to measure is part of the launch, not the next phase.

Treating distribution as an afterthought. Broker network activation takes time. If onboarding starts in week 7, the first bound policy won't happen in week 8.

Confusing "works in testing" with "works in production." Test on real cases, with real documents, with real broker pilots. The edge cases that surface in production don't appear in theoretical test sets.

KPIs: measuring launch success

These metrics serve two purposes: confirming the launch went as planned, and identifying what needs to improve in V2.

Product performance metrics

• Time-to-quote: time between entering criteria and receiving a premium. A long time-to-quote signals an overcomplicated journey or poorly optimised rules.
• Time-to-bind: time between application and policy issuance. The single most revealing KPI of operational efficiency.
• Quote-to-bind conversion rate: a low rate can indicate a pricing problem, a positioning issue, or journey friction.

Operational metrics

• Error and rework rate: number of submissions requiring manual intervention after submission. The target is zero.
• Average document processing time: a productivity metric directly linked to scalability.
• Administration throughput: policies handled per operations team member per day. This metric enables resource planning as volume grows.

Product agility metric

• V1-to-V2 iteration time: how long does it actually take to implement and deploy a change to underwriting rules? This is the most direct measure of how much control your business team has over the product.

What Korint changes in this equation

Korint is an operating platform built for MGAs and delegating entities. The reason it's relevant here isn't purely functional, it's structural.

The core problem Korint addresses: conventional systems place IT at the centre of product control. Every rule change, every journey update, every pricing adjustment requires a development ticket. Business teams end up reacting to their product rather than driving it.

What changes in practice:

Time-to-market measured in weeks, not months. Launches on Korint typically complete in 4 to 8 weeks, compared to several months with a traditional project approach. That includes full product configuration, broker portal deployment, and policy administration setup.

No integrator dependency for product changes. Underwriting rules, pricing tables, distribution journeys, all configurable by the business team, without development. When a V2 adjustment comes in from the field, it's deployed in days, not weeks.

Reliable, traceable data from the first policy. No rekeying, no reconciliation between systems. All data is centralised and available from day one. That's what makes real-time management reporting possible, rather than reconstructing history after the fact.

The pilot-before-scale model. Korint makes it practical to launch V1 on a limited scope, a few pilot brokers, a specific segment, measure, adjust, then scale. It's a direct competitive advantage: you test with limited investment and only industrialise what has proven traction.

On volume management, AI as an operational accelerator. Once the product is live, the challenge becomes absorbing portfolio growth without proportional headcount increases. Korint integrates AI agents capable of handling standardised administration tasks, endorsements, renewals, document processing. Not as a feature, but as a concrete response to the throughput constraint.

Full checklist: your 8-week launch

Week 1: scoping

• [ ] Product scope documented (perils, exclusions, eligibility)
• [ ] Target journey mapped (quote to bind)
• [ ] Delegation model defined (underwriting / admin / billing)
• [ ] Roles and responsibilities matrix signed off
• [ ] Rules governance defined (who can change what, through what process)

Weeks 2–3: configuration

• [ ] Pricing tables configured
• [ ] Underwriting rules implemented
• [ ] Test sets built (standard + edge cases)
• [ ] Tests validated on 20+ real cases
• [ ] V1 tagged and documented
• [ ] Go/no-go formalised

Weeks 4–6: distribution

• [ ] Underwriting portal live
• [ ] Profiles and authority levels configured
• [ ] End-to-end journey tested
• [ ] Broker onboarding process defined
• [ ] Broker documentation finalised
• [ ] Pilot brokers identified and briefed

Weeks 6–8: operations and reporting

• [ ] Policy lifecycle processes operational
• [ ] Live portfolio dashboard active
• [ ] KPIs defined and instrumented
• [ ] First policies bound
• [ ] V2 backlog initialised with field feedback

In summary

Launching an insurance product in under 2 months isn't a feat. It's the result of a structured approach: prerequisites clarified before any configuration begins, a timeline broken into steps with clear deliverables, and an organisation where the business team owns the product rather than waiting on an IT decision.

The real question isn't "can this be done in 8 weeks?" It's "do you have the right tools for your business team to actually drive the product?" That's where the difference lies between a single launch and a repeatable launch capability.

For MGAs who want to see how Korint fits this kind of approach in practice, a demo walks through a complete launch scenario, from rules configuration to first bound policy.

‍