After the Prototype: The Engineering and Leadership Work That Makes AI Real

Available session topic

This is an available speaking topic, not a confirmed conference appearance.

A prototype can demonstrate that AI is capable of doing something. Production demands a different standard: identity and permissions, evaluation, human oversight, security, observability, cost control, integration, and accountable ownership.

Drawing on implementation experience, this session examines why promising AI experiments stall and how leaders can turn them into systems the business can responsibly operate.

Audience and focus

The session is intended for technology, software, and product leaders moving AI experiments toward production. It focuses on engineering responsibility and operational ownership after the initial decision to proceed.

Discuss a session

The scope and format can be adapted to your audience. Contact me with the event, audience, format, and the practical questions you want the conversation to address.