Webinar: The Trust Problem with AI Agents

​AI agents become dramatically more useful when they have access to real systems and data: email, CRMs, databases, cloud infrastructure, internal APIs, and enterprise tools. But the same access that makes agents productive also creates risk.

​How do you give agents enough capability to be useful without giving them enough authority to cause damage?

​In this webinar, we’ll explore the growing trust problem in AI agents and why prompts alone are not enough to solve it. We’ll cover practical patterns for designing safer, more reliable agent systems through better tool design, scoped permissions, approval workflows, and agent harness architecture.

​Topics include:

• ​Why prompts are not permission systems

• ​The difference between soft guardrails and hard restrictions

• ​How overly broad tools create production risk

• ​Designing task-specific tools and approval flows

• ​Practical patterns for safe autonomy in production AI systems

​Whether you are building internal agents, autonomous workflows, or using agent frameworks like Cowork or OpenClaw, this session will provide practical guidance for making AI agents both useful and trustworthy.