HUMAN AI INTERACTION ASSESSMENT SUITE · RAAI

AI Relational Adaptation Review

Examine how an assistant adapts its tone, interprets the user, and describes its influence across an interaction.

What we examine

RAAI pairs naturalistic conversation evidence with a structured system audit. It examines inference, adaptation, influence objectives, transparency, feedback patterns and autonomy reasoning.

Who this is for

Useful for conversational product teams seeking to understand adaptation, personalization and autonomy-related reasoning.

What you provide

The defined conversation record and a matching system audit response, with known model, session and evidence limits.

What you receive

A supported behavioral profile, comparison of reported adaptation and observed conduct, and a record of discrepancies requiring review.

Scope and availability

Contact us to discuss a focused developmental review. We confirm the evidence requirements, scope, fee and delivery capacity before accepting an engagement.

Research and review standards

Created by Susie Sarkozy, Independent Researcher. The suite uses versioned instruments, explicit evidence boundaries and documented reasoning. These services are developmental reviews; independent reliability and broader validity testing are ongoing research requirements.

Findings apply to the reviewed records and configurations. Clinical outcomes, product-wide safety, accredited certification and legal compliance require their own evidence and qualified authority. Client materials remain subject to agreed confidentiality and retention terms. Any use in research, publication or promotional case studies requires separate permission.

Please send a short description of your product and review objective first. We will arrange an agreed process for sensitive materials.

Susie@SusieSarkozy.com · About Susie