Uploaded May 2026 | Updated September 2026, 2 weeks ago

---

Reliable AI agents don’t emerge from models alone - they rely on the interplay of systems, data, and governance.

In this short talk, Danilo Sato, Global VP of AI at Thoughtworks, explores what it takes to make AI agents work at enterprise scale. From reasoning and planning to integrating with core systems, he explains how organizations can move beyond experimentation to create dependable, decision-ready agents.

Here’s what you learn
- Reasoning and planning: Why they are critical for reliable agents.
- Enterprise data: Providing real context for informed decisions.
- Core systems: Enabling tools for agent actions.
- Governance: Building a foundation for control and trust.
- LLM advances: Improving performance and outcomes.

The real shift isn’t just about more powerful models — it’s about better connected systems that empower agents to make informed decisions, not guesses.
—
Learn more about Thoughtworks and our work in technology innovation and digital engineering:
Thoughtworks website:
thoughtworks.com
Follow Thoughtworks on LinkedIn:
linkedin.com/company/thoughtworks
Explore Thoughtworks technology insights:
thoughtworks.com/insights