ON DEMAND • Podcast Episode

Agentic AI Governance: Data Strategy, Culture, And Board Readiness

Joann Stonier, executive and board advisor at The Cantilus Group, joins Better Tech to discuss Agentic AI, board readiness, data governance, responsible innovation, and why AI governance needs to be designed before agents operate at scale.

FEATURED GUEST

Joann Stonier

Our featured guest

Joann Stonier

Executive and board advisor, The Cantilus Group

Joann Stonier brings a board-level view on Agentic AI, data governance, privacy, and responsible technology adoption. Drawing from her background across law, data, privacy, design, and executive advisory, she explains why teams need to move beyond checklist governance and design AI systems with risk, brand, data, and innovation in mind.

She also covers:

  • Why Agentic AI requires earlier design and governance decisions
  • How boards and executives can close the AI knowledge gap
  • Why data, legal, privacy, security, and brand teams need to work together
  • What organizations need to understand about their information profile
  • How to balance innovation, risk, and responsible AI deployment

Why this conversation matters now

Growing businesses are under pressure to adopt AI, but Agentic AI introduces new questions around authority, oversight, accountability, and how autonomous systems interact with people and data.

This episode explores the questions leaders are asking now:

01.

How do we govern AI agents that can act without constant human supervision?

02.

What should boards understand about Agentic AI before approving strategy?

03.

How do legal, privacy, security, data, product, and brand teams work together?

04.

What happens when agents interact with customers, employees, or other agents?

05.

How do we understand the risk and value of the data we already hold?

06.

How do we design AI systems that can innovate responsibly?

What you'll learn in this episode

01.

Why Agentic AI changes the timing and depth of governance decisions

02.

How board members and senior executives can build practical AI fluency

03.

Why responsible AI should support innovation instead of blocking it

04.

How data governance, privacy, security, legal, product, and brand now intersect

05.

Why companies need to understand their information profile before deploying AI

06.

How governance councils need to evolve for autonomous systems

07.

Why design thinking matters when AI decisions are hard to reverse

Who this episode is for

CEOs and business leaders Board members and advisors CTOs and CIOs Legal, privacy, and compliance leaders Data and AI leaders Product and brand leaders

Our host

JocelynHoule

Jocelyn Byrne Houle

AI and data product leader

Jocelyn Byrne Houle is an AI and data product leader, entrepreneur, and investor who has built and scaled transformative technology initiatives across finance, cloud governance, and AI security. She founded Deploy Forward AI to help enterprises adopt AI with strong governance, operational discipline, and long-term organizational ownership.

A preview of the key takeaways

01.

Governance has to move earlier in the design process

Joann explains that Agentic AI is different because agents can operate, optimize, and interact beyond the original design moment. That means governance cannot wait until after deployment.

02.

Boards need practical AI fluency

Board leaders do not need to become engineers, but they do need enough hands-on understanding to ask better questions about Agentic AI, risk, business value, and oversight.

03.

Responsible AI should help teams get to yes

Privacy, legal, and risk teams should not only say no. Their role is to help design products that meet business goals while protecting customers, employees, regulators, and the brand.

04.

Information profile is now an AI readiness issue

Companies need to understand what data they collect, how sensitive it is, where it comes from, what rights apply, how it is governed, and whether it is accurate enough for AI use.

05.

Agentic AI needs cross-functional design governance

AI agents may interact with customers, employees, and other agents. That makes brand, legal, privacy, security, product, and data decisions part of the same design and governance conversation.

Why tkxel is sharing this conversation 

 tkxel helps growing businesses adopt AI responsibly through Agentic AI strategy, data readiness, cybersecurity, software modernization, and workflow transformation.

This episode reflects a challenge many leadership teams face today: Agentic AI can create new value, but it also changes how decisions, permissions, data, and accountability need to be managed. Joann’s perspective adds context for leaders thinking about board readiness, cross-functional governance, and how to design AI systems that can scale without creating unmanaged risk.

WHERE TKXEL BRINGS CONTEXT

1 Agentic AI strategy 2 AI governance 3 Data readiness 4 Cybersecurity 5 Workflow modernization

RECOGNIZED BY

Key concepts covered in this podcast

1

Agentic AI governance

How teams design oversight for agents that can act across workflows.

2

Board readiness

Why executives and board members need practical AI fluency.

3

Information profile

How companies assess the data they hold, use, and expose to AI.

4

Responsible innovation

How governance can support progress without becoming a blocker.

5

Cross-functional oversight

Why legal, privacy, security, data, product, and brand teams need shared ownership.

6

Data governance

How data quality, sensitivity, rights, and controls shape AI readiness

7

Design governance

Why AI governance should be built into product and system design early.

Frequently Asked Questions (FAQs)

Is this episode only for board members? Expand FAQ Collapse FAQ
No. It is also relevant for CEOs, CTOs, CIOs, data leaders, privacy teams, legal teams, product leaders, and AI transformation teams.
What is the core focus of the episode? Expand FAQ Collapse FAQ
The episode focuses on Agentic AI governance, board education, information profiles, responsible AI design, data strategy, and cross-functional AI oversight.
Can this help teams planning healthcare AI initiatives? Expand FAQ Collapse FAQ
Yes. It is useful for teams thinking about how to govern agents, prepare data, align stakeholders, manage risk, and move toward responsible AI deployment.
Why is this podcast gated? Expand FAQ Collapse FAQ
It is offered as an on-demand resource for leaders researching Agentic AI, AI governance, board readiness, and responsible AI adoption.

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