AI, APIs, and the path to AI-readiness: Structuring the AI supply chain for enterprise adoption

About the webinar

AI is changing the game, but without a solid foundation, it can quickly become a house of cards. Effective AI governance isn’t just about ticking boxes; it’s about building a structured AI supply chain that ensures everything stays reliable, accountable, and efficient. In this session, we’ll break down the four key components – vendors, interfaces, data, and tooling – and explain how they are pivotal in making your AI systems work smoothly.

We’ll also take a deep dive into the trade-offs between structured AI toolchains and AI operators and introduce Tyk AI Studio, the governance-first platform that keeps your AI interactions in check, no matter how complex they get. 

We’ll break down what it really takes to make AI work at scale without sacrificing security or control. Whether you’re an engineer, product leader, or policymaker, you’ll walk away with a practical blueprint for integrating AI in a way that’s governed, efficient, and future-ready!

What to expect

• Learn how to structure an AI supply chain for flexibility, security, and scale
• Get to grips with LLM APIs and Model Context Protocol (MCP), key players in AI interoperability
• Weigh the benefits of structured toolchains vs. AI operators – because one approach won’t work for everyone
• Understand how APIs serve as the transport layer for knowledge and decision-making in AI systems
• Take a guided tour of Tyk AI Studio, a governance-first AI management platform built for real-world challenges

Speakers

Budha Bhattacharya
Director of Product Ecosystem

Budha is the lead Developer Advocate at Tyk and the co-creator of the API platform maturity model. He is the course instructor for the API platform engineering fundamentals programme and hosts LEAP 2024, the API observability conference, and the GraphQL Hangout. Additionally, he has been elected Chair of the OpenAPI Initiative’s Governance Board, where he drives initiatives for the education and adoption of the OpenAPI Specification.

Leonid Bugaev
Head of Engineering at Tyk

Leonid is Head of Engineering at Tyk, bringing over 20 years of experience in software engineering and leadership. He oversees engineering strategies, processes, and teams, and has been deeply involved in developing Tyk’s AI Studio. Passionate about open source, he actively maintains and contributes to popular projects. Currently, he’s focused on AI research, governance, and adoption, helping organizations navigate the evolving AI landscape.