DigiTrans Launches DigiTrust Enterprise AI Evidence and Assurance Pilot Through AWS Marketplace

The 30- to 45-day engagement helps regulated organizations make important AI workflows easier to review, explain, approve and audit.

AI governance tells an organization what should happen. Evidence and assurance show what actually happened.”

— John Agbekponou, Founder & CEO DigiTrans LLC

ELKHORN, NE, UNITED STATES, August 9, 2026 /EINPresswire.com/ — DigiTrans LLC today announced the DigiTrust Enterprise AI Evidence and Assurance Pilot, a focused engagement for organizations that need a clearer way to review how important artificial intelligence workflows use evidence, apply checks, preserve human approval and remain within an approved purpose.

The pilot evaluates two to three production AI workflows over 30 to 45 days. DigiTrust is publicly listed through AWS Marketplace, where customers can review purchase options from DigiTrans. Specific pilot scope, commercial terms and any custom Marketplace offer are confirmed for each customer engagement through controlled AWS and direct sales channels.

“AI governance tells an organization what should happen. Evidence and assurance show what actually happened,” said John Agbekponou, founder of DigiTrans. “DigiTrust helps preserve the supporting evidence, repeatable checks, human approvals, approved purpose, known limits and complete history behind important AI outcomes. Making DigiTrust available through AWS Marketplace gives customers a practical purchasing path to evaluate that capability and expand it when the results support broader production use.”

DigiTrust addresses the operational gap between written AI policy and provable execution. It is designed to help organizations answer practical questions: What happened? What evidence supported the result? Which checks were performed? Who approved the use? What limitations remained? Can the full workflow be reviewed later?

The pilot produces a workflow and control assessment, an evidence and review map, a record of known limitations, executive findings and a production roadmap. Initial discovery uses high-level workflow information, synthetic examples, de-identified material. Secrets, credentials, protected health information, payment data, classified information and other regulated records are excluded from the public intake and initial discovery process unless a later agreement and approved data-handling plan are in place.

The first pilot motions focus on financial services, healthcare and defense-safe enterprise operations. Example workflows include fraud and risk analysis, customer-service AI, clinical documentation, healthcare operations, cybersecurity decision support, knowledge assistants and controlled AI-agent workflows. DigiTrust is designed to support existing governance, security, privacy, clinical, risk and audit programs rather than replace them.

Amazon Web Services (AWS) has notified DigiTrans that DigiTrust successfully passed an AWS Solution Review, validating the solution’s alignment with AWS best practices and standards. The public AWS Marketplace listing identifies DigiTrans as the seller and provides a customer purchasing path. These milestones support product credibility, customer purchasing and sales collaboration with AWS.

Organizations interested in the pilot can request a 30-minute Enterprise AI Evidence and Assurance briefing through the DigiTrans website or review DigiTrust purchase options through AWS Marketplace.

About DigiTrans

DigiTrans LLC develops DigiTrust, a patent-pending enterprise AI evidence and assurance platform designed to make important AI workflows easier to review, explain, approve and audit. DigiTrust creates a connected record of evidence, repeatable checks, accountable human approval, approved use, known limitations and complete review history. DigiTrans is based in Elkhorn, Nebraska, and works with regulated enterprises, AWS teams and business partners to advance responsible production use of artificial intelligence.

John Agbekponou
DigiTrans LLC
email us here
+1 4023593874

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