Why Not Just Build It All in Claude? (Asking for a CTO)

Why Not Just Build It All in Claude?
From foundation models to production-ready supply chain decisions

Today's foundation models (Claude, ChatGPT, Gemini, and others) can help teams build impressive applications in weeks. But once the demo is over, a more important question emerges: What should you build yourself, and what should a platform do for you?

At Lyric, we've spent a lot of time with that question. Foundation models are powerful, but they're a foundation, not the whole house. As agentic AI reshapes enterprise software, the real challenge is knowing where AI ends and where proven systems, algorithms, and decision infrastructure begin.

Watch Lyric co-founders Ganesh Ramakrishna and Sara Hoormann discuss:
• The gap between AI outputs and operational decisions - Why a convincing response isn't the same as a decision you'd run your supply chain on.
• Why supply chain math requires verified algorithms - And where foundation models fit into the equation.
• What an AI-native platform adds - How organizations move from isolated AI use cases to connected, network-wide decision-making.

Who should watch this session?
CTOs, supply chain leaders, technology executives, and teams evaluating how AI should fit into enterprise decision-making.

Takeaway
If you've built something impressive with Claude, ChatGPT, Gemini, or another foundation model, watch this on-demand webinar to explore how far it can really go and what it takes to push it further.