InsurTech readiness checklist
Review the insurance-specific boundaries that a generic production checklist misses: brokers, carriers, policies, documents, money, and auditability.
Use this resourceDomain-led product engineering
Keep every insurance decision connected from submission to renewal
Build broker, carrier, policy, claims, document, and deadline workflows with traceable state, controlled handoffs, and evidence operators can trust.
Insurance work we have delivered: multi-carrier quoting with ACORD applications for an embedded-insurance platform, a commercial-insurance onboarding and underwriting platform, renewal automation that cut a brokerage's lapse rate from 11.4% to 4.1%, and SLA monitoring that cut an embedded-insurance team's breach rate from about 14% to under 5.5%. See the delivered work.
The engagement in one minute
Where generic delivery breaks down
In plain terms
Insurance operations break when a submission, quote, binder, endorsement, certificate, claim, or renewal changes in one system but not the others. The interface can look complete while the policy record, carrier status, documents, and follow-up disagree.
Why the distinction mattersRead the production context
01
Zenveus models the insurance objects, owners, state transitions, exceptions, integrations, permissions, communication, and audit trail before automating the workflow. That is how we built the multi-carrier quoting, brokerage platform, renewal automation and SLA monitoring described below: data validated before automation, every action logged, and failures surfaced to a person instead of disappearing.
Scope and scrutiny
The workflows we can build or improve
Before work starts, we agree on the roles, data boundaries, integrations, exceptions, acceptance criteria, QA evidence, monitoring, and handoff. Those details determine whether the workflow can actually run in production.
Broker, producer, insured, and carrier onboarding
Submission, appetite, quote, bind, and underwriting-support flows
ACORD forms, loss runs, binders, endorsements, and certificates of insurance
Policy administration, agency-management, rating, CRM, e-sign, and carrier integrations
Renewal, carrier appointment, premium-finance, lapse-prevention, and communication workflows
FNOL, claims intake, SLA deadlines, escalation, evidence, and operational reporting
Straight answers
Questions we usually hear before work starts
01What insurance software has Zenveus built?
For an award-winning embedded-insurance platform, multi-carrier quoting that maps one application into each market's question set and generates ACORD applications. For a commercial insurance brokerage, a platform covering online applications, document uploads, e-signing, AI-assisted prefilling and underwriting estimates, quotes, policies and broker workflows. For a multi-office brokerage, renewal and upsell automation across about 4,000 policies. For an embedded-insurance operations team, SLA monitoring with tiered alerts and an audit trail.
02Can you integrate with carrier and broker systems?
Yes, subject to available APIs and access. We plan synchronization, retries, rate limits, reconciliation, monitoring, and operator recovery. On the brokerage platform, carrier APIs were limited, so we built the underwriting support inside the broker's own workflow.
03Can AI process documents safely?
AI can assist extraction, classification, drafting, and review when sources, validation, confidence, permissions, and human approval are designed into the workflow.
04Can we modernize one workflow first?
Yes. A bounded onboarding, renewal, document, or SLA workflow can prove value without forcing a platform-wide replacement.
Delivery, made visible
How we work through the domain
01
Follow the work as it happens today
We sit with the operators and domain experts who know where the process bends. Together we trace the people, decisions, evidence, exceptions, and systems involved, then agree on the result worth measuring.
02
Decide what the system must control
We make the control points explicit before they disappear into code: who can act, who owns the data, how integrations fail, what needs review, what gets audited, and how a milestone will be accepted.
03
Prove one complete workflow first
The first milestone covers one complete outcome, including the operator tools and exception handling needed to run it. We expand only after that path works under real conditions.
04
Release without creating dependency
Before launch, both teams agree on deployment, monitoring, incident response, credentials, documentation, intellectual property, and who supports the system next.
Evidence from shipped systems
Use cases we have delivered
Four insurance systems Zenveus built and shipped. Client names are withheld; where a case study is published, it shows the problem, what we built and the measured result.
Multi-carrier quoting and ACORD applications for embedded insurance
For an award-winning embedded-insurance infrastructure startup, we connected one customer application to several carrier and wholesale-market APIs. Answers are mapped into each market's question set, ACORD application forms are generated, including the ACORD 130 workers' compensation application, and quotes and policies are created through the markets' APIs.
- Lines including business owner's, general liability, professional liability, cyber and workers' compensation
- Quote and policy-creation flows through carrier and wholesale-market APIs
Commercial-insurance onboarding and underwriting platform
A commercial insurance brokerage had onboarding and underwriting spread across forms, CRM, bookkeeping, manual handoffs and limited carrier APIs. We built one platform for online applications, magic-link sign-in, document uploads, e-signing, AI-assisted prefilling, underwriting estimates, quotes, policies and email workflows, with role-based access on AWS.
- Less repeated form entry and faster internal evaluation
- Broker work centralized in one system
- Read the case study
Renewal and upsell automation for a multi-office brokerage
Renewals were tracked across offices with incomplete policy data, no urgency signal and no record of outreach. We built policy validation, urgency tiering, AI-drafted outreach with retries and fallbacks, execution logging and failure alerts across about 4,000 policies.
- Lapse rate cut from 11.4% to 4.1%
- About $680K in annual premium protected and about $210K in new annual premium
- Compliance documentation produced in under 30 seconds
- Read the case study
SLA monitoring and escalation for embedded insurance
An embedded-insurance operations team tracked SLA commitments in a spreadsheet with no early warning. We built a monitor that runs every two hours with warning, escalation and breach tiers, deduplicated alerts, AI risk summaries, a daily digest and an execution log.
- SLA breach rate cut from about 14% to under 5.5%
- Alert response up from about 30% to 96%
- Manager planning time down from 25 minutes to 3
- Read the case study
Commercial clarity
Scope the decision before the commitment
Timing and price follow the product evidence, critical workflows, dependencies, and acceptance criteria—not an attractive guess.
01Engagement
What shapes the plan and price
The plan depends on the workflow, user roles, platforms, integrations, migration, review obligations, product maturity, and the cost of getting a critical path wrong. If those factors are still unclear, we start with a short audit or discovery phase. Defined work can move into fixed milestones; evolving products may need a named ongoing team.
The proposal names the people responsible for implementation, architecture review, QA, and delivery. Access starts at the minimum needed for the work. We agree on repositories, environments, credentials, documentation, and handoff before delivery begins.
Access, accountability, and handoff
A clear boundary on both sides
01Access model
Where engineering stops and client responsibility begins
Zenveus provides compliance-aware product engineering and works with client insurance and legal experts. It does not provide insurance licensing or legal certification.
Your next decision
Turn the way your team works into a buildable plan
Show us the current process, the people using it, the systems involved, and where work breaks down. We will recommend an audit, a defined build, an ongoing team, or a better alternative if software is not the first problem to solve.
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