Independence
Disclose relevant funding relationships. Keep assessment fees independent of favorable findings.
About ETE Oversight
AI needs ambition.
And accountable execution.
ETE Oversight brings together two practices: ETE AI Solutions for practical workflow adoption, and ETE Assurance for evidence-led evaluation. Our purpose is useful AI with clear human accountability.
Our Mission
Help organizations put AI to useful work and make informed decisions about the systems they rely on. Start with one workflow, an accountable owner, and a measurable outcome.
Our initial commercial focus is internal knowledge and employee-support workflows in professional-services organizations. We also welcome relevant vendor, adviser, and government partner engagements.
Our Approach
Agree acceptance criteria, examine representative work, and connect findings to the evidence. Distinguish what was observed, documented, asserted, or unavailable. Make limitations and next steps explicit.
Each engagement requires an agreed testing scope, authorized evidence access, and qualified technical review. Assessment design can draw on established references, including the NIST AI Risk Management Framework.
Founder
Reza Etemad
Founder & CEO · ETE Oversight
ETE began with a straightforward question: as more organizations build and deploy AI, who independently examines the systems they are relying on?
That question remains central to ETE Assurance. ETE AI Solutions extends the mission into practical adoption: knowledge preparation, scoped pilots, training, and measured operating results.
The goal is practical: help decision-makers understand what works, what it costs to operate, how people stay in control, and when the evidence needs to be revisited.
Clear roles. Credible findings.
ETE AI Solutions and ETE Assurance are practices within ETE Oversight, not separate legal entities. Implementation support and independent evaluation have different responsibilities. We disclose relevant delivery and funding relationships and do not market a review of our own work as independent assurance. Where independence is required for an ETE-delivered workflow, a separate qualified reviewer must be agreed. Scope, specialist capacity, and review responsibilities are confirmed before engagement.
The principles behind the work
Evidence
Distinguish observed results, documentation, assertions, and unavailable evidence.
Transparency
Make scope, methods, limitations, and relevant relationships visible.
Accountability
Identify the people responsible for decisions, controls, and next steps.
Practicality
Connect performance, operating value, and control findings to practical decisions.
Continuity
Revisit the evidence as systems, permissions, and intended uses change.
Clarity starts with a conversation
Put an independent perspective to work.
Tell us about your AI assessment, procurement, deployment, or partnership requirements.