2
Roundtables
Each evening offers networking, a moderated roundtable discussion, and a multi-course dinner. The room is not recorded, keeping every seat off the record for a genuinely candid conversation among peers.
Seattle · Private Executive Dinner · November 2026
16 Leaders. One Table.Candid AI Conversations.
A private, off-the-record roundtable for senior Data, AI and Marketing leaders, on what it actually takes to move AI from ambition to measurable business impact. No vendor slides. No pitch.
- 16 seats a night
- Reviewed for fit
Nov 9thNov 10th
AI experimentation is everywhere. Measurable enterprise impact is not.
Adoption isn't the same as readiness. This conversation sits with the harder question: what your data, governance and operating model actually need to look like before AI can be trusted to reason, and act, on your organization's behalf.
Sixteen peers. One evening. No one selling anything.
Most companies aren't failing at AI because of the models, they're failing because their data isn't ready.
What to Expect
3
Moderators
A panel of three, led by Jorge Sepulveda, Chief Revenue Officer, Express Analytics, steering the discussion, not presenting to it.
16
Executives
A table of sixteen, C-suite, VP and Head-of leaders across Data, Analytics, AI, Digital, Technology and Marketing. Attendance is curated for fit: company, seniority and current priorities.
The Location
Venue
Charlotte Restaurant & Lounge
Contemporary Pacific Northwest fine dining at the Lotte Hotel Seattle
809 5th Ave, 16th Floor, Seattle, WA 98104
- 16th floor, panoramic downtown views
- Sixteen guests each night
The Program
Six questions shaping the conversation, not a fixed agenda, but the terrain the discussion will move across.
01
Are we actually AI ready?
Adoption isn't readiness. Where is ambition running ahead of the data, governance and infrastructure to support it?
02
Is your data agent ready?
What would it take to trust an AI agent to reason across your enterprise data, and act on it?
03
What happens after the dashboard?
As natural language becomes the interface to enterprise data, what changes for BI teams and decision-making itself?
04
Automation or meaningful agency?
How much of what's labeled "agentic" today is really predetermined automation with a new interface?
05
Where do we draw the autonomy line?
What determines how much independent action you're willing to let AI take, and who decides?
06
Does any of it create business impact?
Beyond adoption metrics, what's actually measurably better because of AI?
What happens next
- 01
Submit your request
Contact details plus three quick questions on your Data/AI priorities, about 90 seconds.
- 02
We review within 48 hours
Jorge and our team confirm fit against company, seniority/function, geography and current priorities to keep the table balanced.
- 03
Personal confirmation
You hear back directly, either your seat is confirmed, or we let you know you're on the list for a future evening.
1Evening
2Contact
3Fit
Step 1 of 3
Step 1 of 3
Reviewed within 48 hours for company fit, seniority and current Data/AI priorities. You'll hear from Jorge's team personally either way.