Is Your Insurance Operation Ready for AI?
Eighteen scored questions for carriers, brokers, and MGAs — underwriting, claims, actuarial, distribution, with reg realities baked in.
- A scored profile across 6 dimensions — see exactly where you're strong and where the gaps are.
- Your biggest opportunities, mapped to specific next moves.
- A personalized video walkthrough from Shawn (optional) — a real read on your results.
Most AI initiatives in insurance don't fail in the technology — they fail in the preparation. An honest AI readiness assessment looks past the hype at what actually determines whether AI will pay off for a carrier, broker, or MGA: the state of your policy and claims data, the clarity of your strategy, who owns the work, how fast you can decide, and whether your policy admin, claims, and distribution platforms can integrate AI at all. Insurance runs on long-lived data across heterogeneous core systems and a regulatory overlay that touches every model decision — which makes the foundation the deciding factor.
This free assessment scores your insurance operation across six dimensions and returns a clear readiness profile in about seven minutes. It's built from 27 years of technology leadership across Fortune 500 and growth-stage companies — the same lens a fractional Chief AI Officer would bring to your first conversation about underwriting throughput, claims efficiency, and distribution automation.
What the insurance AI readiness assessment measures
Readiness is a profile, not a single number. The assessment scores six dimensions independently so you can see where you're strong and where the gaps are: Data & Infrastructure (can your policy admin, claims, and submission data feed an AI system), Strategy & Alignment (has leadership defined what AI is for across underwriting and claims), Team & Talent (can someone own it across underwriting, claims, and actuarial), Process & Governance (can you deploy AI within NAIC, state DOI, and model-risk requirements), Technology & Architecture (can your core stack integrate AI), and Investment & Velocity (can you fund and decide fast enough). The final question maps the specific workflows — submission triage, FNOL severity, fraud scoring, reserving support — where automation pays off first.
Why AI readiness matters before you invest in insurance
Carriers and brokers that rush into AI without the foundations spend their first dollars proving the obvious: that a model fed inconsistent policy or claims data produces unreliable recommendations. The operations that capture real value treat readiness as the first deliverable — they reconcile policy and loss data, define a bounded workflow like submission clearance or FNOL severity, and put an accountable owner in place before they buy more tools. A readiness profile turns a vague ambition into a sequenced plan, and it tells you whether your constraint is data, frontline adoption, technology, regulatory governance, or simply decision speed.
What you get at the end
You'll see an overall AI readiness score, a band that describes where you stand (from Pre-Foundation through Execution-Ready), a per-dimension breakdown, and a map of your highest-value automation opportunities across underwriting, claims, distribution, actuarial, fraud, and compliance. From there you can request a personalized video walkthrough — a short, recorded read on your specific results and what a fractional Chief AI Officer engagement would do for your insurance operation. No generic sales deck.
Frequently asked questions
What is an insurance AI readiness assessment?
It's a structured evaluation of whether a carrier, broker, or MGA has the data, strategy, team, governance, technology, and investment capacity to successfully adopt AI. Rather than measuring AI knowledge, it measures the preconditions — like reconciled policy and claims data and a defined workflow — that determine whether an AI initiative will deliver value or stall.
How long does the assessment take?
About seven minutes. It's 18 scored questions across six dimensions plus a final workflow-mapping question covering underwriting, claims, distribution, actuarial, fraud, and compliance. Your progress auto-saves, so you can leave and resume without losing answers.
Is the assessment free?
Yes. The assessment and your scored results are completely free. You can optionally request a personalized video walkthrough of your results, which is also free.
Who is this assessment for?
It's built for carrier executives, broker and MGA principals, claims and underwriting leaders, and insurtech founders who are weighing an AI investment and want a clear-eyed read on whether they're ready — and what to fix first if they're not.
What insurance workflows can AI actually help with?
The most common starting points are submission intake and clearance, FNOL triage and severity prediction, adjuster note summarization, fraud scoring, broker service deflection, and reserving and loss-trend support. The assessment's final question maps these so you can see where automation would pay off first for your lines of business.