Carrier integration architecture, compliance posture, and hiring plan for insurtech founders. Advisory at $5,499/mo, full engagement at $9,499/mo.
- Audit
- Architect
- Scale
monthly retainer
Who this is for
You are an insurtech founder, broker-tech CEO, or corporate intrapreneur inside an insurance group. You need someone who has shipped multi-provider integration at unicorn scale, can map your compliance posture before your Series A, and will help you hire your first engineering team without betting the company on a bad call.
The pain today
- Every new carrier integration feels like starting from scratch
- Compliance posture is a question mark heading into investor due diligence
- No technical voice in the room when regulators or carriers push back
- Hiring the first two engineers without a technical co-founder is genuinely risky
- Full-time CTO hire is 6 to 9 months away and the architecture decisions can't wait
The outcome you get
- Carrier integration architecture that makes each new carrier faster than the last
- Compliance map scoped to your market — state DOIs, SOC 2, PCI, AML
- Investor-facing technical story grounded in $1B+ unicorn experience
- Hiring plan and interview process for your first engineering team
- Fractional CTO coverage at $5,499 to $9,499/mo — no $300k full-time hire
What a fractional insurtech CTO actually does
Four topics dominate pre-Series A insurtech CTO work. Carrier integration — designing the internal interface so that adding a new carrier is a configuration change, not a six-week sprint. Compliance — mapping state DOI requirements, SOC 2 readiness, PCI scope, and anti-money-laundering obligations before they catch you off-guard in due diligence. Data — policy lifecycle schema, claims event sourcing, retention strategy, audit trails that regulators can actually read. Team — scoping the first two or three engineering hires, writing job descriptions that filter correctly, and running technical interviews.
At bolttech I shipped a payment service that integrated 40+ providers across Asia and Europe at 99.9 percent uptime, entering 15+ new international markets with zero post-launch critical bugs. The mechanics of that work translate directly: abstraction layers, provider adapters, idempotency on writes, webhook reconciliation, comprehensive sandbox testing before anything touches production. Carrier integrations have the same shape, with insurance-specific data models layered on top.
Fractional CTO at $5,499 to $9,499 per month covers all four areas without the $300k-plus cost of a full-time insurtech CTO hire.
Carrier integration architecture that makes each new carrier faster than the last
Carrier integration architecture that compounds
The most expensive architectural mistake in insurtech is building each carrier integration as a one-off. Six months in, you have four carriers, four incompatible data models, and four separate test suites that nobody maintains. Adding a fifth takes as long as the first four combined.
The pattern that works: a unified internal interface for quote, bind, policy, and claims operations. Each carrier gets an isolated adapter that handles that carrier's quirks — field mapping, authentication, polling vs webhook, rate limits. The core application never talks to a carrier directly. Tests run against the adapter in isolation, then against a recorded fixture of the sandbox, then against the sandbox itself before production cutover.
I built this at bolttech across 40+ payment providers. The discipline is identical for insurance carriers. The internal interface stays stable as your product grows; adapters are cheap to write and easy to replace when a carrier upgrades their API.
40+: Payment providers integrated.
Data and AI architecture for underwriting and claims
Insurtech companies sit on data that can improve risk pricing, detect fraud, and automate claims triage — but only if the schema was designed to support it. Most early-stage insurtechs design their schema for the happy path and discover too late that the data they need for a loss model or a claims automation pipeline was never captured.
I scope data architecture decisions early: event-sourced claims so you have a complete audit history, policy lifecycle events that feed both your reporting and your ML training sets, structured capture of the fields your underwriting models will eventually need. This is not premature optimization. It is the difference between having a dataset worth analyzing at Series B and spending six months cleaning up data that was never structured.
On the AI side: I can integrate OpenAI and Claude AI tooling into claims intake and document extraction workflows. The integration is straightforward; the harder part is the data contract and the fallback logic when the model is uncertain. I design both.
Compliance posture before your fundraise
Insurtech compliance has several overlapping layers, and investors who have backed insurance companies before will probe each one.
State DOI filings are regulatory work for licensed consultants and counsel — but the technical evidence they need comes from my side: architecture diagrams, data flow maps, access control documentation, audit trail quality. SOC 2 Type II is increasingly required for carrier partnerships and enterprise distribution deals. I build the engineering controls auditors need — access management, change management, incident response, logging — and I work alongside a Vanta or Drata audit partner for the formal process. PCI scope applies if you touch payment card data on premium collection. AML and OFAC apply if you handle policyholder funds.
For founders raising, having a clear compliance map and a credible CTO voice in technical due diligence calls materially affects outcomes. Investors who have been through insurance DD before know exactly what to ask.
Investor interactions and technical due diligence
Technical due diligence for insurtech investors covers more ground than a standard SaaS DD. Architecture decisions, compliance posture, scalability plan, data strategy, team plan, security controls, cost model — all of it is fair game, and the questions come from people who have seen the space before.
Preparation I build with you: architecture decision records that explain the trade-offs you made, a compliance map showing current posture and gaps, a scalability narrative grounded in real capacity numbers, a cost model that does not fall apart under load, and a hiring plan for the engineering team you need at Series A.
bolttech's $1B+ unicorn credential — backed by Tokio Marine and MetLife — and GigEasy's Barclays and Bain-backed MVP delivered in 3 weeks both open doors with fintech-adjacent insurtech investors who want to see a track record, not a resume.
When a full-time insurtech CTO is the right call
Fractional coverage works well from pre-seed through Series A — typically six to eighteen months across fundraising and first engineering hires. At Series A and beyond, a few signals suggest it is time to hire full-time: you are entering a state licensing pipeline that requires a dedicated regulatory roadmap owner, you are establishing a carrier partnership that demands a named technical executive, or your engineering team has grown past eight people and coordination cost exceeds the part-time model.
When that point arrives, I help with the search — interview loops, levelling the candidate against your actual needs, structuring the onboarding. For insurtechs with deep domain requirements, an insurance-industry-native CTO candidate is often the right call; fractional covers until you find that person.
Recent proof
A comparable engagement, delivered and documented.
Unified payment orchestration across Asia and Europe
Delivered the payment orchestration platform at bolttech, a $1B+ unicorn, with 40+ integrations across multiple regions.
Read the case studyFrequently asked questions
The questions prospects ask before they book.
Carrier integration architecture, compliance posture, data strategy, and hiring are the four main areas I cover. Pre-Series A, the role is more technical than managerial — I am making architecture decisions, running technical interviews, preparing compliance documentation, and attending investor calls. At $5,499/mo Advisory, that is one to two days per week. At $9,499/mo Fractional CTO, it is three days per week with deeper ownership.
DOI filings are regulatory work for licensed consultants and counsel. My role is the technical side: architecture diagrams, data flow maps, audit trail quality, access control documentation — the engineering evidence that supports the filing. I work alongside regulatory specialists on the technical components. If you need state-by-state licensing help, budget a specialist RA contractor alongside the CTO engagement.
My direct carrier work is limited — my equivalent experience is at bolttech, where I built the Payment Service integrating 40+ providers across Asia and Europe with 99.9 percent uptime and zero post-launch critical bugs. The integration pattern is identical: unified internal interface, per-provider adapters, idempotency, webhook reconciliation, aggressive sandbox testing. The learning curve on a specific carrier's API is weeks, not months, given that foundation.
SOC 2 Type II is increasingly required for carrier partnerships and enterprise distribution. I build the engineering controls auditors need — access management, change management, incident response, logging, vendor risk management. The formal audit runs through Vanta, Drata, or a specialist compliance partner. Budget six to twelve months for Type II. I handle the technical evidence and work alongside the audit partner on the process.
AML and OFAC apply when you handle premium payments and policyholder funds. I integrate with AML and sanctions-screening providers — Sardine, Sumsub, and similar — and design the audit trail and reporting flows the compliance team needs. Compliance oversight stays with a qualified AML officer. My contribution is the technical infrastructure: clean data pipelines, reliable screening integration, audit logs that hold up to scrutiny.
Yes, and the concerns differ slightly by model. An MGA needs clean data architecture for underwriting data sharing with capacity providers and a compliance posture across the states where it is admitted. An embedded insurance startup typically has carrier integration and API design as the primary technical challenge, plus data contracts with distribution partners. Both benefit from the integration and compliance patterns I have built at scale.
Six to eighteen months is typical — from the point where architecture decisions can not wait through closing a Series A and placing the first two or three engineering hires. Some engagements run longer when a full-time CTO search takes time or when a regulatory milestone stretches the timeline. Cancel-anytime terms and a 14-day money-back guarantee mean there is no lock-in on my side.