governance × insurance

AI governance for Insurance.

AI that meets your regulators where they already are — NAIC Model Bulletin alignment, state DOI expectations, model risk management, and unfair-discrimination testing. Every rating-adjacent model is inventoried, tested for fair use, and fully auditable.

NAIC AIS framework-ready Unfair-discrimination testing On-prem & VPC inference

AI that holds up to a market-conduct exam

Insurance regulation reaches AI through the model, the rate, and the outcome. The NAIC Model Bulletin on the Use of Artificial Intelligence Systems expects carriers to run a documented AIS program — governance, a model inventory, lifecycle controls, and third-party oversight — and individual departments of insurance now ask to see it. We build AI that produces those artifacts as it operates, so a market-conduct examiner finds a program, not a scramble.

The sharper edge is fairness. Unfair-trade-practice statutes, rate-justification rules, and state-specific regimes like Colorado's SB21-169 all bear on models that touch underwriting, pricing, or claims. We embed disparate-outcome testing into those models, keep their inputs and decisions on an append-only record, and tie each version to its validation evidence — so fair-use and rate filings are defensible rather than aspirational.

Controls your chief risk officer can file.

Each capability maps to a named regulatory expectation — the Model Bulletin, state rating law, model risk — not a generic checkbox.

01 / controlsSECURE
Insurance regime-mapped controls
Controls map to the NAIC AIS framework, state DOI bulletins, and unfair-trade-practice standards, so your governance program and fair-use posture extend over every model.
  • NAIC AIS program artifacts
  • State DOI bulletin alignment
  • Unfair-discrimination testing
02 / inferenceCORE
On-prem / VPC inference
Inference runs inside your own VPC or data center, so policyholder PII, claims data, and rating inputs never transit a third-party model API. No egress, no surprise vendor in your AIS inventory.
  • No policyholder data egress
  • Third-party model oversight
  • Private endpoints + key control
03 / oversightSECURE
Audit trails & access governance
Every model input, decision, and fairness test is written to an append-only record, with access governed by role so adverse-action and rate-justification evidence is always reproducible.
  • Append-only decision trail
  • Adverse-action reproducibility
  • Role-based data access

Where governance is non-negotiable in Insurance

The AI worth deploying in a carrier all influences a regulated decision — which is why governance is the gating requirement:

  • Underwriting and eligibility — models that affect who gets covered must be tested for unfair discrimination and documented to the NAIC AIS standard.
  • Rating and pricing — AI inputs to rate that have to be explainable and defensible in a state filing, with every version tied to validation evidence.
  • Claims handling — automation across claims data where adverse decisions need a reproducible audit trail for market-conduct review.
  • Third-party model oversight — vendor and data-source models brought under your governance program rather than left as an unmanaged dependency.

Common questions.

How do you align AI with the NAIC Model Bulletin on AI use?

We build to the bulletin's expectation of a documented AI Systems program: governance roles, a model inventory, risk-based controls across the model lifecycle, and third-party oversight. Each deployed model carries its intended use, validation evidence, and monitoring plan, so when a department of insurance asks for your AIS framework, the artifacts already exist.

How do you test AI underwriting and pricing for unfair discrimination?

Models that affect rating or eligibility are tested for disparate outcomes against the unfair-trade-practice and rating standards in the states you operate in, including specific regimes like Colorado's SB21-169. Inputs, outputs, and test results are logged to an append-only trail so you can demonstrate fair-use and rate justification on demand.

Explore related capabilities.

Deploy AI your regulators will accept.

Bring your hardest model-risk or fair-use question. In thirty minutes we map how an AI system meets the NAIC Model Bulletin, your state DOI expectations, and unfair-discrimination standards — and leave you with a concrete path. Response inside 24 hours.

Markets served.

As an enterprise AI agency, eeko systems delivers production AI systems remote-first across the United States and internationally — including these markets:

New York City, New York (NY)

Los Angeles, California (CA)

Chicago, Illinois (IL)

Houston, Texas (TX)

Phoenix, Arizona (AZ)

Philadelphia, Pennsylvania (PA)

San Antonio, Texas (TX)

San Diego, California (CA)

Dallas, Texas (TX)

San Jose, California (CA)

Austin, Texas (TX)

Jacksonville, Florida (FL)

Fort Worth, Texas (TX)

Columbus, Ohio (OH)

Charlotte, North Carolina (NC)

Indianapolis, Indiana (IN)

San Francisco, California (CA)

Seattle, Washington (WA)

Denver, Colorado (CO)

Washington, District of Columbia (DC)

Boston, Massachusetts (MA)

El Paso, Texas (TX)

Nashville, Tennessee (TN)

Detroit, Michigan (MI)

Oklahoma City, Oklahoma (OK)

Portland, Oregon (OR)

Las Vegas, Nevada (NV)

Memphis, Tennessee (TN)

Louisville, Kentucky (KY)

Baltimore, Maryland (MD)

Milwaukee, Wisconsin (WI)

Albuquerque, New Mexico (NM)

Tucson, Arizona (AZ)

Fresno, California (CA)

Sacramento, California (CA)

Kansas City, Missouri (MO)

Atlanta, Georgia (GA)

Miami, Florida (FL)

Colorado Springs, Colorado (CO)

Raleigh, North Carolina (NC)

Omaha, Nebraska (NE)

Long Beach, California (CA)

Virginia Beach, Virginia (VA)

Oakland, California (CA)

Minneapolis, Minnesota (MN)

Tulsa, Oklahoma (OK)

Arlington, Texas (TX)

New Orleans, Louisiana (LA)

Wichita, Kansas (KS)

Cleveland, Ohio (OH)

Tampa, Florida (FL)

Bakersfield, California (CA)

Aurora, Colorado (CO)

Honolulu, Hawaii (HI)

Anaheim, California (CA)

Santa Ana, California (CA)

Corpus Christi, Texas (TX)

Riverside, California (CA)

Lexington, Kentucky (KY)

St. Louis, Missouri (MO)

Stockton, California (CA)

Pittsburgh, Pennsylvania (PA)

Saint Paul, Minnesota (MN)

Cincinnati, Ohio (OH)

Greensboro, North Carolina (NC)

Anchorage, Alaska (AK)

Plano, Texas (TX)

Lincoln, Nebraska (NE)

Orlando, Florida (FL)

Irvine, California (CA)

Newark, New Jersey (NJ)

Toledo, Ohio (OH)

Durham, North Carolina (NC)

Chula Vista, California (CA)

Fort Wayne, Indiana (IN)

Jersey City, New Jersey (NJ)

St. Petersburg, Florida (FL)

Laredo, Texas (TX)

Madison, Wisconsin (WI)

Chandler, Arizona (AZ)

Buffalo, New York (NY)

Lubbock, Texas (TX)

Scottsdale, Arizona (AZ)

Reno, Nevada (NV)

Glendale, Arizona (AZ)

Gilbert, Arizona (AZ)

Winston-Salem, North Carolina (NC)

North Las Vegas, Nevada (NV)

Norfolk, Virginia (VA)

Chesapeake, Virginia (VA)

Fremont, California (CA)

Garland, Texas (TX)

Richmond, Virginia (VA)

Baton Rouge, Louisiana (LA)

Boise, Idaho (ID)

San Bernardino, California (CA)

Spokane, Washington (WA)

Des Moines, Iowa (IA)

Modesto, California (CA)

Birmingham, Alabama (AL)

Tacoma, Washington (WA)

Fontana, California (CA)

Oxnard, California (CA)

Fayetteville, North Carolina (NC)

Huntsville, Alabama (AL)

Moreno Valley, California (CA)

Rochester, New York (NY)

Glendale, California (CA)

Yonkers, New York (NY)

Augusta, Georgia (GA)

Amarillo, Texas (TX)

Little Rock, Arkansas (AR)

Akron, Ohio (OH)

Shreveport, Louisiana (LA)

Grand Rapids, Michigan (MI)

Mobile, Alabama (AL)

Salt Lake City, Utah (UT)

Huntsville, Texas (TX)

Tallahassee, Florida (FL)

Overland Park, Kansas (KS)

Knoxville, Tennessee (TN)

Worcester, Massachusetts (MA)

Brownsville, Texas (TX)

New Port Richey, Florida (FL)

Jackson, Mississippi (MS)

Providence, Rhode Island (RI)

Fort Lauderdale, Florida (FL)

Sioux Falls, South Dakota (SD)

Tempe, Arizona (AZ)

Cape Coral, Florida (FL)

Springfield, Missouri (MO)

Pembroke Pines, Florida (FL)

Eugene, Oregon (OR)

Peoria, Arizona (AZ)

Corona, California (CA)

Lancaster, California (CA)

Rockford, Illinois (IL)

Salinas, California (CA)

Palmdale, California (CA)

Springfield, Massachusetts (MA)

Charleston, South Carolina (SC)

Duluth, Minnesota (MN)

London, England (ENG)

Dublin, Ireland (IRE)