The hard questions
underneath AI.
AI engineering talks for audiences that want more than another trends presentation. Where should an agent have authority? What happens when a model is wrong? What must change in the system through which work gets done?
Authority. Failure. The system of work.
Stop Telling Your Agents What to Do
Boundary-Driven Autonomy
Define the boundaries. Don't dictate the path.
- Agentic Autonomy
- Human-Centered AI Leadership
For: AI engineers, software architects, and AI engineering leaders designing agents with consequential tool access
Stop Building Faster. Build the Machine.
Engineering the system that builds the product
Don't just use AI to build the product. Engineer the system that knows how products get built.
- AI-Native Organizations
- Human-Centered AI Leadership
For: AI engineering leaders, software architects, and teams designing agent-assisted software delivery
An argument to examine.
A room to work it through.
The format follows the problem.
Start with the decision your audience needs to make.
Keynotes
One defensible thesis, the architecture behind it, and the consequences for how your audience builds AI systems.
Executive sessions
Examine the gap between buying AI tools and changing how work happens: authority, governance, handoffs, and organizational constraints.
Panels & podcasts
Work through the tensions in production AI: useful autonomy, imperfect models, engineering discipline, and human judgment.
What should the room reconsider?
Tell me who will be in the room, what they are responsible for, and which AI engineering decision deserves a better argument.
Discuss your event- 01
Tell me about the event
A few details about your audience, timing, and goals.
- 02
Shape the conversation
Align on the topic, format, and practical takeaways.
- 03
Confirm the details
Agree on scope and logistics before a date is reserved.
Bring AI ambition
into practice.
Keynotes, panels, podcasts, and executive sessions
on building dependable AI and leading the teams behind it.