Building Deterministic AI for Enterprise Governance at TASKD
From AI InterConnect Podcast by Laurent Cochet
June 3, 2026 · 34 min · Season 2 · Episode 225
About this episode
Ryan Hanley discusses the transformative potential of deterministic AI in regulated industries and its implications for governance and compliance.
In this episode, Ryan Hanley, CEO of Task TASKD, discusses how AI can transform regulated industries by creating deterministic, trustable decision systems. He shares insights from his background in blockchain, compliance, and enterprise AI, emphasizing the importance of structured data, decision layers, and practical applications in government and business. key topics Deterministic AI systems in regulated industries Data structuring and knowledge graphs AI adoption challenges and opportunities Regulatory compliance and auditability Practical AI applications in government and enterprise Titles Building Trustable AI Systems for Regulated Industries How Deterministic AI Transforms Compliance and Governance sound bites "This layer ensures decisions are rule-based and auditable." "Public data can uncover governance issues in record time." "Data scattering hampers enterprise AI effectiveness." Chapters 00:00 Introduction to AI Interconnect Podcast 01:02 Ryan Hanley's Journey to Task D 06:19 Understanding Task D's Unique Approach 12:43 The Alberta Government AI Hackathon Case Study 17:28 Challenges in AI Adoption and Accountability 26:33 Future Success and…
People in this episode
Host: Laurent Cochet
Guest: Ryan Hanley
Topics covered
- Deterministic AI systems
- Regulated industries
- Data structuring
- AI adoption challenges
- Regulatory compliance
- Practical AI applications
Keywords
- AI
- enterprise AI
- deterministic systems
- regulated industries
- blockchain
- compliance
- data structuring
- decision automation
- knowledge graphs
- AI governance
Mentioned in this episode
Organizations: TASKD, Alberta Government
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