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Maya Builds AI

Maya Builds AI

By: Maya Chen
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Enterprise AI infrastructure explained by someone who has seen what breaks in production. Every episode breaks down one concept that matters when you are running AI at scale in regulated industries. LLMOps. Orchestration. Governance. Compliance. Observability. The stuff between the models and the business logic that nobody talks about until something goes wrong. New episodes three times a week.Maya Chen
Episodes
  • Your AI Agent Just Waived Attorney-Client Privilege.
    Jun 19 2026

    This morning your AI agent worked one client's matter. This afternoon it is on another, and because it remembers, it carries the first client's context into the second. In law, that one disclosure can waive privilege.

    This episode breaks down why a single AI agent shared across client matters is a structural confidentiality risk. Why privilege is fragile and waiver can be permanent. Why cross-matter bleed is a conflict and an ethics problem, not just a technical bug. And what per-matter isolation looks like when the wall is built and logged.

    Privilege is binary. It holds, or it is waived.

    Keywords: attorney-client privilege, legal AI, AI agents law firms, client confidentiality, matter isolation, conflict of interest, AI governance, legal tech, agentic AI, CTO, general counsel

    This is Maya. New episodes three times a week.

    youtube.com/@mayabuildsai

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    4 mins
  • Your AI Agent Denied the Loan. Federal Law Says Explain Why.
    Jun 17 2026

    Your AI agent just denied someone credit. Fast, clean, automated. Then federal law shows up and asks for the specific reasons, in writing, mailed to the applicant within days.

    In consumer finance, the AI decided is not a valid adverse action notice. This episode breaks down why automating credit decisions without capturing the reasoning turns every denial into a compliance exposure. Why the decision lives in a layer nobody logs. Why you cannot reconstruct a reason you never recorded. And what a decision record looks like when it is built to satisfy the rule instead of fight it.

    An automated decision you cannot explain is a regulatory liability with a deadline attached.

    Keywords: adverse action notice, ECOA, Regulation B, AI lending, AI credit decisions, explainable AI, AI decisioning, fintech AI, AI governance, AI compliance, financial services AI, CTO

    This is Maya. New episodes three times a week.

    youtube.com/@mayabuildsai

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    3 mins
  • Your AI Agent Read the Whole Patient Record. Under HIPAA, That Is the Violation.
    Jun 17 2026

    A patient calls with a billing question. One lab result, one charge. Your AI agent answers it perfectly. To get there, it read the entire medical record. Oncology history, behavioral health notes, years of visits. It used one line. It saw all of it.

    Nothing leaked. And it is still a HIPAA violation.

    This episode breaks down the minimum necessary rule and why over-access alone is a breach, even with no leak and no hacker. Why agents pull every record they can reach by default. Why logging the answer is useless if you never logged what the agent read to produce it. And what scoped, logged access looks like when it is built before the auditor asks.

    A HIPAA breach does not require a leak. Over-access is enough.

    Keywords: HIPAA, minimum necessary, AI agents healthcare, PHI access, healthcare AI compliance, AI governance, AI observability, scoped access, agentic AI, CTO

    This is Maya. New episodes three times a week.

    youtube.com/@mayabuildsai

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    4 mins
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