ABOUT THIS EPISODE
How can enterprises drive AI transformation while fully accounting for the risks that increased agent access may create?
In this episode of Architect the Future, Kavitha Prasad, a senior leader in AI and Data strategy, discusses acceptable risk: the process of determining what an enterprise is comfortable with happening if something goes wrong.
Kavitha stresses that enterprises should build this risk-evaluation process into AI transformation from the outset. When assessing risk, they must consider every layer of the stack, from hardware to software.
Discussion Highlights:
- Agentic Risk Profiles: How agentic systems have changed the types of risks enterprises face.
- Acceptable Risk: How leaders can determine the level of risk they are willing to accept when pursuing AI transformation.
- Guardrails, Circuit Breakers, and Alarms: How to create bounded experiments and permissions, with an emphasis on being able to turn an agent off if needed.
- The Human in the Loop: How to manage agents effectively through human reasoning, oversight, and ownership.
- Looking Ahead: Kavitha’s parting advice for enterprise leaders: understand your business environment and carefully define and contain your intended outcomes.
Links:
Architect the Future Website
David Heurtaux on LinkedIn
Kavitha Prasad on LinkedIn
About Architect the Future:
How will AI reshape the enterprise of the future? From scanning items at the grocery store to routing airplanes across the globe, technology is the central nervous system of our world. Now, enterprise AI is rewriting how those systems think: finding patterns, making connections, and reshaping how enterprises operate at a scale we've never seen before.
Architect the Future brings the enterprise perspective to the AI conversation. Each episode features leaders at the forefront of AI adoption and explores how the technology is transforming business. Across industries, we examine the decisions, systems, and designs shaping the next era of enterprise AI.
Hosted by David Heurtaux, who brings a focus on cloud architecture and (Gen)AI platforms, combining deep expertise in software engineering, Site Reliability Engineering, and AI strategy. With experience in IT Architecture, David is part of BCG’s (Gen)AI Platforms Group and serves as a BCG Global GenAI Blackbelt. He specializes in cloud-based microservice architectures for AI, data, and digital platforms, and brings strong experience in design thinking, DevOps, and agile methodologies.
Get in Touch:
Want to learn more about how BCG Platinion is working with enterprises to embrace the future with AI? Have an idea for a guest you’d love to hear on our show? Want to learn what it is like to work at BCG Platinion? Or do you have feedback to share about a recent episode? Get in touch at podcasts@bcgplatinion.com. We’d love to hear from you.
