Ark33 deploys enterprise AI inside your own infrastructure — fully within your perimeter, compliant with NAIC guidance, and documented for state market conduct exams. Your underwriters and claims teams get the productivity your competitors are building. Your compliance team gets something defensible.
The Regulatory Pressure
State insurance regulators are actively developing guidance on AI use in underwriting, claims, and customer-facing workflows. NAIC model bulletins on AI are already adopted in multiple states. Market conduct exams are beginning to ask about AI governance programs.
Your board is pushing for AI adoption. Your compliance team is blocking every cloud tool that processes policyholder data, loss runs, or actuarial models — because they're right that those tools create exposure. A vendor BAA doesn't resolve the underlying regulatory question of whether that data should leave your perimeter at all.
And underneath all of that: your underwriters are already using AI. Loss run summaries in ChatGPT. Policy language research in Copilot. Nobody approved it. The informal usage gap is exactly where a state examiner finds the finding.
Ark33 deploys a fine-tuned enterprise AI model on your own AWS or Azure infrastructure. Policyholder data, actuarial models, and claims information never leave your perimeter — not during deployment, not during inference, not ever. We build the governance framework at the same time: audit logs, access controls, model documentation, and the compliance paper trail that answers a state examiner's questions before they're asked.
Every category below is either explicitly covered by state AI guidance, implicated by NAIC model bulletin language, or subject to actuarial standards of practice that govern model governance. A cloud AI vendor's BAA doesn't address any of them.
The Ark33 deployment keeps every one of these inside your own infrastructure. Your compliance team documents it. Your examiner sees a defensible program.
Infrastructure audit, NAIC and state-specific regulatory gap analysis, model recommendation for your priority use cases, use case prioritization map for underwriting, claims, and document review, and a fixed-price implementation proposal.
Enterprise AI model deployed on your VPC, fine-tuned for insurance — policy language, loss run analysis, claims documentation, actuarial research. Governance dashboard, audit logs, and compliance documentation included. Zero external API dependencies after deployment.
Model updates, security patches, compliance documentation refresh as NAIC guidance evolves, quarterly audit package. We run it. Your compliance posture stays current as the regulatory landscape changes.
Loss run summarization, risk factor analysis, policy comparison, appetite matching. Underwriters move faster without sending policyholder data to a cloud API.
First notice of loss triage, coverage analysis, documentation review, reserve reasoning. Claims staff work more consistently without the regulatory exposure.
Literature review, regulatory change monitoring, assumption documentation. Your actuaries spend less time on research and more time on judgment.
Policy language review, regulatory change tracking, exam preparation documentation. Your compliance team uses AI to manage the compliance program itself.
Regulatory knowledge from inside the industry
Brian is a attorney and operator who understands what a state market conduct exam looks like from the inside, how NAIC guidance translates into state-level requirements, and what a defensible AI governance program needs to contain. He's not explaining compliance theory — he's built the frameworks. The 20-minute compliance risk assessment call isn't a sales call. It's Brian giving you his honest read on your specific exposure.
Schedule a Risk Assessment
Your state's regulatory environment, your specific data obligations, your current shadow AI exposure. No pitch. No commitment.
Schedule Your Compliance Risk Assessment →brian@ark33.solutions