Trustwall began with a practical question: as AI systems move from generating information to taking consequential actions, how can organizations maintain control over what those systems are actually permitted to do?
Traditional AI governance can establish policies, permissions, oversight, and accountability. But consequential AI introduces another challenge: determining whether a specific AI-initiated operation should be allowed to proceed at the moment of execution.
ABA Pro Software LLC developed Trustwall to address that boundary. Trustwall is designed as runtime control infrastructure positioned between AI authorization and consequential execution. It provides an independent control point for evaluating whether an AI-initiated operation may proceed and for preserving evidence of the resulting decision and execution path.
The approach is intended to complement—not replace—identity systems, AI platforms, cybersecurity tools, enterprise software, cloud infrastructure, and existing governance programs.
Trustwall is being developed for organizations exploring AI in consequential workflows where authorization, execution control, and evidence matter. The technology is the subject of pending U.S. patent applications.
Trustwall was born from a simple but urgent question: Why is it so difficult for organizations to prove they’re doing the right thing? As AI systems, data-driven platforms, and automated decision-making became woven into the fabric of business operations, the gap between regulatory intent and real-world compliance grew wider. ABA Pro Software LLC was founded to close that gap — building infrastructure that doesn’t just help organizations comply, but empowers them to demonstrate integrity with evidence, transparency, and trust at every layer.
Our journey began at the intersection of emerging technology and the growing demand for accountability. Across industries — from healthcare and finance to education and government — organizations were struggling with the same core challenge: how do you manage consent, govern AI responsibly, and maintain a verifiable record of compliance in an environment where regulations are constantly evolving? That shared challenge became the foundation of Trustwall’s architecture — a patent-pending platform engineered to bring structure, clarity, and confidence to the most complex compliance environments in the world.
Jennifer Sabatini is the founder and CEO of ABA Pro Software LLC DBA Trustwall. Her work focuses on a practical challenge emerging as artificial intelligence moves beyond generating information and begins initiating consequential actions in real-world systems.
Drawing on her background in behavioral science and technology development, Jennifer founded Trustwall around the principle that organizations need more than policies and oversight when AI is capable of acting. They need a way to govern whether specific consequential operations are permitted to proceed and to preserve evidence of what occurred.
That work led to the development of Trustwall’s runtime control architecture and a portfolio of U.S. patent applications addressing AI control, authorization, evidence, and related technologies. Jennifer is also the author of The AI Governance Playbook.
Her focus for Trustwall is straightforward: help organizations retain meaningful control as AI moves from recommendation to action.
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