Red Oak Insights | AI That Answers to Compliance Webinar
Автор: Red Oak
Загружено: 2026-02-11
Просмотров: 4
Описание:
As AI accelerates across industries, compliance teams are under pressure to adopt it — but not all AI applications are built equally. In this session, Rick Grashel, CTO at Red Oak, will lead a conversation about the pitfalls of “AI-native compliance” and what's required for AI to be truly compliance-grade.
00:00 – Welcome & Opening Poll
01:40 – Introductions (Fletcher Stubblefield & Rick Gratschel)
01:55 – Why We’re Talking About Compliance Grade AI
03:00 – What Is Compliance Grade AI? (Core Principles Overview)
04:24 – Precision vs. Prediction: How AI Actually Works
08:04 – The Risk of Model Training & Regulatory Change
09:29 – Rules vs. Guessing: Deterministic Compliance
10:02 – Audience Poll: AI Focus Areas
11:20 – Auditability & Explainability Explained
17:00 – Reconstructing AI Decisions (SEC 17A-4 & Books & Records)
22:13 – Agentic Architecture vs. Model Training
27:47 – Continuous Improvement & Operational Realities
29:56 – Reducing Operational Burden with AI
32:04 – Why Model Training Becomes an IT Project
37:31 – AI Pre-Review for Marketing (Poll Winner Topic)
41:12 – Real Impact: Fewer Review Cycles & Faster Turnaround
44:30 – White Paper Announcement
45:32 – Live Q&A Begins
50:04 – Timeline for Marketing Pre-Review Implementation
52:53 – Preventing “Ghost AI” & Vendor Risk
55:06 – Closing Remarks & Accelerate Conference
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