A 20+ year insurance technology practice built around one mission: helping insurance organizations of every type get AI to actually work in the environment where insurance runs.
Every data pipeline, cloud deployment, document processing system, and insurance workflow integration we’ve built is part of one mission — getting AI to actually work where insurance runs.
The JBK difference
It needs clean data to run on. It needs cloud infrastructure to run in. It needs to connect to the claims system, the policy platform, the underwriting workflow. It needs a user interface that humans can actually use alongside it. JBK brings all of that.
That is the difference between a firm that deploys AI and one that makes AI work in the real environment where insurance actually runs.
The Two Modes
Two fundamental modes of how AI creates value in insurance. Understanding which one applies — and where — is how the work gets designed.
The person stays in the loop, makes the final call, and uses AI to get there faster — with every recommendation explainable and every decision auditable. Human stays in control, and because of that, they actually use it.
When your client says
What it looks like in insurance
AI executes a process step that a human was doing manually. The human approves at the end — or is removed entirely. The efficiency play with the clearest ROI: the CFO can calculate the cost of the manual process today versus the subscription tomorrow.
When your client says
What it looks like in insurance
Most engagements use both. Decision Support for the calls adjusters need to own — Workflow Automation for the work no human should be re-typing. Our Assessment phase identifies which mode fits which use case.
The Engagement Journey
Each phase maps directly to JBK’s Hours-to-Outcomes delivery models — Fixed-Cost Projects for the build, a Subscription for the operating layer.
A structured review of your operations, data, infrastructure, and team readiness. We identify the 3–5 AI use cases with the highest return and lowest implementation risk — classified as Decision Support or Workflow Automation.
What you walk away with
Who this is for: Carriers, TPAs, and brokers who know AI is coming but haven’t committed to a use case yet.
We build and deploy your AI solution inside your environment, integrated with your existing systems. Fixed scope, fixed price, JBK owns the execution risk. AI productivity goes into the work — not into your invoice.
What you walk away with
Who this is for: Organizations that completed Phase 1 — or arrive with a defined use case and a mandate to build it right.
A named JBK team that runs your AI in production month after month. Models drift, data shifts, regulations evolve — Phase 3 keeps AI investment compounding instead of plateauing.
What you get each month
Who this is for: Organizations with AI in production who need a team to own the operational layer.
AI productivity means our team works faster. Billing by the hour for that speed punishes efficiency. The client pays for the deployed system — not for the time it took to build it.
The Stack Behind the Practice
JBK’s AI implementations draw from all eight capability areas — the full delivery engine behind every AI engagement.
The practice itself — GPT agents, Large Language Models, Robotic Process Automation, predictive models, intelligent document processing.
Connecting AI to claims, policy, and underwriting systems; building the data pipelines AI runs on.
Azure, AWS, or GCP infrastructure; model hosting; continuous integration and deployment for AI systems.
Domain knowledge of claims, policy admin, billing, and regulatory workflows baked into every build.
Cleaning and exposing legacy data so AI has something reliable to work with.
User interfaces that let humans work alongside AI — adjuster dashboards, exception queues, review workflows.
OCR, form extraction, intelligent document routing — often the first automated layer in a Decision Support build.
Validating AI outputs for accuracy, edge cases, and compliance before anything goes to production.
A client hiring JBK for an AI engagement is hiring the whole stack — assembled around their specific use case.
Why JBK
JBK can walk into a mid-market TPA or regional carrier, understand how their claims system works, know what state Workers Compensation regulations govern their data, and build an AI system that integrates with the environment that already exists.
We’ve been building insurance software since 2004. The engineers on AI engagements are the same engineers who built the claims platforms, the policy systems, the compliance tools. They are productive from day one.
The clients asking JBK about AI today are existing relationships — carriers, TPAs, and brokers who already trust JBK with their systems. The Phase 1 Assessment is a fast path to production because JBK is already in the room.
No ramp-up on insurance domain — our engineers already built the systems your AI needs to integrate with.
Azure, AWS, GCP — we build AI in your environment, not lock you into ours.
Audit trails, overrides, bias controls, and regulatory documentation are part of the architecture, not bolt-ons.
Fixed-Cost or Subscription. You pay for the deployed system and ongoing capability, not the hours.
Ready to start
The AI Readiness Assessment is the entry point. Two to four weeks, fixed fee, prioritized use cases, and a clear path to production. Most engagements start here.
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