Agents are shipping code, yet humans still own the consequences. Learn from Engineering leaders across industries on what happens when agents operate in production & the stakes include real customers, sensitive data, & systems you can't afford to break.

Join Enrich, Optimal AI & Okta for dinner, drinks, & a candid conversation about what it takes to put agents to work & trust its results.

We'll dig into the decisions teams face once agents move beyond experimentation: where autonomy earns its place, where human oversight remains essential, & which pitfalls only become visible in production.

What breaks after deployment: Unexpected failure modes, integration challenges, & the hidden work of keeping agents reliable.

How much control to give up: Permissions, guardrails, human approvals, & knowing when to intervene.

What changes in regulated industries: Balancing speed with security, auditability, & accountability.

The new engineering playbook: How teams rethink code review, ownership, & productivity when agents become contributors.

Our Speakers:

Iba Masood, Co-founder & CEO of Optimal AI [Moderator]

Kinnar Vora, VP of AI, Forward Financing

Rebecca Yang, Director of Engineering, HubSpot

Jaehyun Yeom, Principal Software Engineer, Bear Robotics

Mitch Mikusek II, Software Engineering Manager, Verkada

After the panel, we'll carry the conversation into dinner & mingling, with discussion prompts to help you trade production lessons, compare approaches, & unpack the challenges you're facing with fellow engineering leaders.

About Optimal AI:

Optimal AI is building the next frontier of quality & security for AI generated code. As code multiplies in volume by 50x, organizations are facing a multitude of new problems related to quality, review & security. Optimal is building a suite of agents (Optibots) that are thoughtful, with full codebase context & zero data retention, for this new reality of secure code review. Customers include Bear Robotics, Forward Finance, MongoDB & many more.