- AI Dream Session, Vol. 3 · Live Fireside Chat
Trustworthy AI in Practice: Governance, Guardrails, and Compliance
What does AI governance look like when it has to keep up with delivery, not just look good on paper?
Governance is often seen as the thing that slows AI down. Done badly, it does.
Pilots wait in review. Controls arrive after the model is already live. Teams end up choosing between moving fast and staying compliant.
In this fireside chat, Sarath Kuravi and Dr. Shonraj Ballae, an AI Practitioner who has contributed to a regulatory-approved AI Software as a Medical Device, work through how to govern AI that’s already in use. Expect industry examples and candid answers about what works and what doesn’t.
Date
Tuesday, November 10, 2026
Time
11:00 AM EST
Format
60 minutes: 45-minute fireside chat followed by 15 minutes of audience Q&A · Microsoft Teams
Reserve Your Seat by Filling the Form
Tuesday, November 10, 2026 | 11:00 AM EST | 60 minutes on Microsoft Teams
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Why Attend
What's in It for Me?
4 items, in Dr. Shonraj’s wording
01
What trustworthy AI means in real-world regulated and enterprise environments
02
Practical guardrails for privacy, security, reliability, human oversight, and compliance
03
Industry use cases, including regulated and high-impact AI applications
04
How leaders can scale responsible AI without slowing innovation
You will leave with a clearer view of which guardrails your AI needs, where governance tends to stall delivery, and how other organizations are handling it.
The Cost of Sitting This Out
What Will I Miss If I Don't Attend?
The biggest risk is governance that shows up after the AI is already live.
When controls arrive after launch, a model in production can drift, expose sensitive data, or make decisions nobody reviewed.
Not every AI system needs the same level of review. Matching effort to risk is what keeps delivery moving.
Generative AI and agents raise the stakes, because they take actions, not just give answers.
This conversation will help you see how leaders build trust into AI systems and scale responsible AI without slowing innovation.
The Session
What We'll Cover
A live fireside chat, not a slide deck. Sarath guides Dr. Shonraj through four to five practical questions.
Fireside chat (about 45 minutes)
01
Identifying AI Risk
How to find and assess the risks in AI systems that are already in use.
02
Building Trust Into the System
Practical guardrails for privacy, security, reliability, human oversight and compliance.
03
Compliance Without Stalling Delivery
How to meet emerging compliance needs while keeping AI delivery on track.
04
Your Questions, Answered (15 minutes)
15 minutes of open audience Q&A.
The Audience
Who Should Attend?
This session is designed for:
CXOs, CDOs, CIOs, and senior executives
Chief Risk, Compliance, Privacy, and Information Security leaders
AI and data governance leads; legal and regulatory affairs
Quality and compliance leaders across industries
Data Science, ML, and AI engineering leaders
AI and Digital Transformation program leads
If you are responsible for approving, building or auditing AI, this session is for you.
From AI Strategy to AI in Practice
How Vol. 3 Connects to the DARWIN™ Framework
In AI Dream Session, Vol. 1, we introduced the DARWIN™ Framework to help enterprises evaluate AI initiatives across Data, Architecture, Responsibility, Workflow, Infrastructure and Security. Vol. 2 applied that thinking to a real use case in computer vision.
This session continues the AI Dream Session series, drawing on the Data and Responsibility pillars of the DARWIN™ Framework. Once an AI system is live, how do you keep its data and its decisions trustworthy?
D
Data
A
Architecture
R
Responsibility
W
Workflow
IN
Infrastructure and Security
Vol. 3 focus: Data and Responsibility
Missed Vol. 1?
Watch AI Dream Session, Vol. 1: Blueprint Your Enterprise Strategy with the DARWIN™ Framework on demand.
Meet Your Hosts
Who You Will Be Hearing From
Co-Founder and EVP, Intuceo
Sarath Kuravi is Co-Founder and EVP of Intuceo, with over 20 years delivering 50+ Data and AI solutions for Fortune 500 clients across Life Sciences, Healthcare, and Manufacturing. He leads Intuceo’s Global Delivery organization, turning ambitious AI and data initiatives into practical, measurable outcomes built for adoption.
Principal AI Scientist
Dr. Shonraj Ballae is a Principal AI Scientist with over 15 years of experience in AI, healthcare innovation, and applied research. He holds a Ph.D. in Computational Vision Science. His work focuses on trustworthy AI, AI governance, and turning emerging AI into practical business outcomes.
About Intuceo AI Labs
Research That Has to Survive Production
Intuceo AI Labs focuses on one question: how do advances in AI translate into systems that actually work inside an enterprise?
The Labs brings together AI research and real-world implementation experience across computer vision, machine intelligence and enterprise AI.
The focus is not just on what a model can do in a demo, but what it takes to make AI practical, reliable and usable in real operating environments.
Can You Scale AI Without Governance Becoming the Bottleneck?
You can.
It starts with building trust into the system, not around it.
Join AI Dream Session, Vol. 3 to hear how.