About This Disclosure

Reserves Now is committed to the responsible, transparent, and accountable use of artificial intelligence. This disclosure explains how AI is used within our platform, what data is processed, how outputs should be interpreted, and what governance measures are in place.

This disclosure is provided in accordance with emerging AI transparency standards and best practices in responsible AI deployment, including the NIST AI Risk Management Framework (AI RMF 1.0).

How AI Is Used

Reserves Now uses a large language model (LLM) API provided by Anthropic, Inc. to generate property damage cost reserve reports. The AI system receives a structured prompt containing:

The AI system returns a structured HTML report containing an executive summary, itemized cost breakdown by repair category, a reserve range (low, mid, high), and a disclaimer. No AI-generated output is presented as a final determination of value.

What AI Does Not Do

Personally Identifying Information: Our Policy

Reserves Now does not request, require, or store personally identifying information about claimants. Our platform is designed from the ground up to operate without PII. The Reference Number field accepts only internal claim or file identifiers. Adjusters are explicitly instructed not to enter claimant names, addresses, Social Security numbers, policy numbers, or any other personally identifying information.

Specifically, our platform does not collect or transmit to the AI system:

The property address submitted is used solely for the purpose of estimating property characteristics (type, approximate size, regional construction costs) relevant to the reserve report. It is not used for any other purpose and is not combined with other data to identify individuals.

Data Handling and Retention

Limitations and Appropriate Use

Reserves Now reports are preliminary cost reserve reports only. They are generated from information provided at first contact with the insured, without physical inspection of the property. Actual repair costs may vary significantly based on contractor pricing, material availability, local labor markets, code compliance requirements, and site conditions not visible without physical inspection.

Every report generated by Reserves Now includes a disclaimer that it is the adjuster's professional and fiduciary duty to verify, investigate, and establish accurate reserves based on actual site conditions. Reserves Now reports are intended as a starting point, not a final reserve figure.

Human Oversight

Reserves Now is designed to support human professional judgment, not replace it. The platform requires:

AI System Transparency

Governance and Credentials

Reserves Now was designed and built by Timothy Wieneke under Wieneke Group. AI governance is not an afterthought. It is embedded in the product design. Timothy holds the following credentials relevant to responsible AI deployment:

AIGP — AI Governance Professional (IAPP Certified)
JD — Juris Doctorate, Stetson University College of Law
CPCU — Chartered Property Casualty Underwriter

The design of this platform reflects the NIST AI Risk Management Framework principles of Govern, Map, Measure, and Manage, applied to a real-world insurance claims tool. Governance decisions embedded in the platform include explicit output restrictions, mandatory human review requirements, PII exclusion by design, and transparent disclosure of AI involvement on every report.

Regulatory Compliance Posture

Reserves Now is designed with awareness of the following regulatory and guidance frameworks:

Carriers using Reserves Now are responsible for ensuring that their use of AI-generated reserve reports complies with applicable state insurance regulations, internal claims handling guidelines, and any applicable data governance policies.

Contact and Feedback

Questions about this disclosure, our AI governance practices, or the use of AI in Reserves Now should be directed to:

Reserves Now: AI Governance
Timothy Wieneke, Esq., CPCU, AIGP
A Wieneke Group Company
Email: [email protected]
Phone: (727) 481-2228

Review Schedule

This disclosure is reviewed at least annually and updated whenever material changes are made to the AI systems, data handling practices, or applicable regulatory guidance. The current version was last reviewed in March 2026.