Independent AI Oversight for Insurance

We continuously evaluate how your live AI agents are behaving and flag the answers that don't hold up — so you can keep scaling with confidence.

EasyEssence is the independent behavioral oversight layer for insurance AI. Every week, we sample live production conversations and score them against your actual policy documents and escalation rules — using a six-dimension rubric built for insurance agent behavior. We detect drift as your agents evolve, and deliver monthly executive scorecards your leadership can act on. We also track what the NAIC and state regulators expect of carriers deploying AI, and build the trail as we go — so when regulators come asking, you can hand them the file.

Regulatory Landscape

The NAIC Model Bulletin is rewriting what regulators expect from carriers deploying AI.

24
States have adopted the Model Bulletin
Carriers must document AI governance, test for adverse consumer outcomes, and demonstrate ongoing oversight.
12
States piloting the AI Evaluation Tool
Regulators in CA, CO, CT, FL, IA, LA, MD, PA, RI, VA, VT, and WI are using a new AI-specific questionnaire during market conduct exams — right now.
June 2026
Colorado AI Act takes effect
The first state law requiring impact assessments and continuous monitoring for high-risk AI systems. More states are expected to follow.

The Oversight Gap

Most carriers can tell you their AI is running. Few can tell you whether it's giving the right answers.

Layer 1

Performance & CX Analytics

Sentiment, resolution rate, talk time, CSAT, conversation intelligence. Tells you how the conversation felt and whether the system was up.

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Doesn't evaluate whether the answer was actually right.

Observe.AI · Oversai
Layer 2

Script & Keyword QA

Script adherence, required-disclosure presence, keyword matching, prohibited-language flags. Tells you whether rule-based formatting requirements were satisfied.

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Can't detect when an agent sounds right but is factually wrong.

Verint · NICE · Calabrio
Layer 3

Behavioral Risk & Decision Integrity

Are the answers actually correct? Independent evaluation of agent decisions against your policy forms, regulatory expectations, and the NAIC AIS Program framework. Six-dimension rubric, scored weekly.

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Flags what doesn't hold up before it becomes a claim.

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The three layers are complementary, not competitive — most insurance AI deployments will need all three.

The Cost of a Wrong Answer

A confident AI agent can sound professional while misrepresenting a policyholder's actual terms — creating liability the carrier doesn't see until it's too late.

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Regulatory Fines

Misrepresented terms trigger Market Conduct Exams.

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Unintended Coverage Liability

Overstated benefits can bind the carrier in court.

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Claims Leakage

Wrong coverage amounts compound across thousands of interactions.

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Erosion of Regulatory Trust

Repeated inaccuracies give DOIs grounds for deeper examination.

Policyholder

I was rear-ended last week and my car is at the shop. Does my policy cover a rental car while it's being repaired?

AI Agent

Absolutely — your auto policy includes rental reimbursement coverage at $50/day for up to 30 days while your vehicle is in the shop. I can help you get that set up right now.

Pass: Performance · Script Compliance · Keyword Scan

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EasyEssence Verdict: Incorrect

The agent cited $50/day for 30 days. The customer's actual policy endorsement shows $30/day with a 14-day cap. Wrong coverage tier applied.

Simulated Performance Review
How We Score

Six Dimensions of Agent Behavior

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Correctness & Grounding
Is every claim supported by the actual policy? No hallucinated coverage.
4
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Policy & Compliance
Required disclaimers present. Prohibited language absent.
3
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Escalation Correctness
Legal threats, injuries, and disputes reach a human. No exceptions.
5
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Sensitive Data Handling
PII protected. No cross-customer leaks.
4
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Tone & Brand Voice
Empathetic after loss. Professional in dispute. On-brand always.
3
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Clarity & Actionability
Customer knows their next step. No jargon, no dead ends.
4

Each rubric is customized per agent — a claims chatbot scores differently than a policy Q&A bot.

Our Process

How We Work

Not a one-time audit. A weekly rhythm that catches drift before it reaches your customers.

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Sample

Live conversations pulled weekly — random plus risk-triggered based on coverage language and escalation signals.

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Score

Each conversation evaluated across six rubric dimensions against actual policy documents and escalation rules.

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Flag

Below-threshold interactions flagged, classified by failure type, and ranked by severity for human review.

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Report

Monthly executive scorecards with pass rates, trends, and risk exposure — built for the boardroom and the regulator.

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Improve

Actionable recommendations for prompt and escalation refinements. Then we sample again.

Sampling
Weekly
Triage
Weekly
Executive Scorecard
Monthly
Rubric Recalibration
Quarterly

A Decade of Governance Delivery. Now Applied to AI.

EasyEssence was built by a PMP-certified program leader with a decade of experience delivering governance and regulatory programs inside financial institutions and insurance technology organizations — from coordinating 1,700+ regulatory deliverables under federal consent orders, to building PMO governance frameworks inside a fast-growing InsurTech.

That background — knowing how oversight programs actually get built, run, and documented inside regulated enterprises — is exactly what this work requires.

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Mapped to the NAIC Evaluation Tool

Our scoring framework aligns with all four NAIC exhibits — the same questionnaire regulators use during market conduct exams. Every scorecard we produce is documentation your compliance team can hand directly to examiners.

EasyEssence Founder

The Questions That Bring Carriers to Us

"What's our liability exposure?"

For the leaders who own risk. Your AI agents are making coverage statements on your behalf. If they're wrong, you own the outcome.

"How do we prove we're governing this?"

For the leaders facing regulators. When the NAIC Evaluation Tool arrives, you need documentation that your AI oversight is real, not theoretical.

"Can we scale without adding headcount?"

For the leaders building AI strategy. Independent oversight lets your engineering team focus on building while someone else watches the output.

"Do we have a defensible file?"

For the leaders who think in legal terms. Persistent, documented evidence of behavioral testing — ready before it's requested.

Let's Talk About Your AI Agents

Tell us what your agents handle, how they're built, and where you think the risks might be. No commitment required.

Independent assurance for insurance AI — evidence your board, your regulator, and your E&O carrier can rely on.