AI Leaders Breakfast
Join a private morning gathering of technology executives who lead Agentic AI in their companies. The AI Leaders Breakfast brings a small group of senior leaders together for focused conversations during AWS re:Invent.
Why attend?
AI agents are moving from pilots to real work. Every company is now solving the same few hard problems, and nobody has to solve them alone.
At this breakfast, each leader shares how their team solves the biggest problems with AI agents. You hear what works, what failed and what is next. You leave with answers from peers who face the same challenges.
We do not believe in random networking. We seat you with leaders who have the same goals as you.
The challenges we will discuss
Many AI vendors, one set of rules. Developers want Claude Code and Codex. Business teams want ChatGPT and Copilot. How do you say yes to all of them and keep control?
From shadow AI to approved AI. People already use AI tools that IT never approved. How do you give them the tools they want, in a way that IT can see?
Governance for autonomous agents. Agents now run commands, change records and send data. How do you decide what each agent may do, and when a person must approve?
Agents on real systems. How do you run agents securely around the clock, connected to company systems and shared between employees?
AI where the data lives. How do you bring agents into private, regulated or air-gapped networks, without sending data to an outside cloud?
Freedom to choose models. The best model changes every few months. How do you stay free to switch, and use open-weight models when cost matters?
AI cost you can predict. Per-seat AI adds up fast. How do you scale AI to every employee with a budget you can plan?
... and any other Agentic AI topic you bring to the table.
Who should attend
This event is for technology executives and decision-makers, for example: CIOs and CTOs, VPs and Directors of AI and AI platform, Heads of AI/ML, platform and architecture leads, and founders who drive AI adoption in their companies.
Seats are limited. We review every request to keep the group small and senior.
About xpander.ai
Run any agent harness on a secure, managed runtime. Use any model and govern everything in one place, on a stack you can trust.
Every team wants a different AI tool. Developers want Claude Code and Codex. Business teams want a chat assistant that knows the company. Leaders want autonomous agents that do real work around the clock. xpander.ai lets you say yes to all of them, and keep one set of rules for every agent.
The only fully integrated AI stack, in one place
AI Workspace for every employee. One AI assistant on the web, in Slack, in Teams and on the Mac desktop. A built-in company brain grounds it in your policies, tools and data, so it answers questions and also acts across your systems.
AI and MCP Gateways. Every model call and every tool call goes through one control point. You set budgets per team, user or agent. You choose which models and which tools each agent may use.
Managed agents. Run autonomous agents securely, connected to your real systems. Each agent gets its own computer, so its work stays off employee laptops. Agents run in the background, take on long tasks and can be shared across teams.
How it works
xpander.ai sits between your agents and the models they use. It records every prompt, every tool call and every action, and it checks your policy before the agent acts. When an action is sensitive, such as sending data out or changing a record, a person approves it in the app, in Slack, by email or with one link. You get a full audit trail that security and compliance teams can export.
What becomes possible
Teams keep the tools they like. Claude Code, Codex and OpenCode run side by side. IT keeps one policy for all of them.
You stay free to choose models. Use the AI subscriptions and keys you already pay for. Switch models without starting over. Run open-weight models on your own GPUs, with the same agents.
Your data stays where it is. Run xpander.ai in our cloud, in your cloud, on-prem or fully air-gapped. It installs on your Kubernetes cluster like any other workload.
Cost you can plan. One platform price, not a fee for every seat.
Say yes to AI. Not to sprawl.
Location
Flamingo Las Vegas. We will send the name of the restaurant to accepted guests.