Friday 27 Nov 2026 | 1:00 PM-2:30 PM Central

AI Operating Model for 2027

Cohort: Operations and Finance

Nine executives translate the fall series into the leadership structure, decision rights, talent model, governance, and investment priorities needed for 2027.

90Minutes from 1:00 PM to 2:30 PM Central
08Moderated operating-model questions
09Executives in the room
01Invite path into the cohort
Operating format

A working room for leaders turning AI lessons into a 2027 management system.

The session helps executives connect adoption, finance, workflow, governance, talent, and accountability into an operating model they can actually run.

Stage 01

2027 Leadership Briefing

A concise opening view of the operating choices organizations need to make before AI programs expand in the new year.

Stage 02

Operating Model Exchange

Moderated prompts compare ownership, governance, talent, funding, partner strategy, and decision cadence.

Stage 03

Summit Planning Signal

Qualified participants identify member nominations, speaker themes, sponsor fit, and city-summit priorities.

The room

Where the fall conversation turns into next-year operating choices.

The discussion asks what has to be true by January: who owns AI, how decisions get made, how talent changes, what gets funded, and how leadership tracks progress without drowning in activity.

Audience
CEOs, CIOs, COOs, CTOs, CFOs, CHROs, risk leaders, transformation leaders, and AI program owners planning 2027 priorities.
Access
Invitation-only, capped at nine executive participants for a moderated exchange rather than broadcast attendance.
Outcome
A practical 2027 AI operating-model agenda and a stronger signal for MOJO AI Summits programming.
Moderated questions

The 2027 questions that decide whether AI becomes an operating capability.

Each question is designed to turn the prior sessions into leadership commitments, not more exploratory discussion.

01

Who should own AI in 2027?

Should ownership sit with a central AI office, business units, technology, operations, strategy, risk, or a shared executive council?

02

What decisions need a repeatable cadence?

Which funding, risk, vendor, workforce, and portfolio decisions should happen monthly, quarterly, or at the board level?

03

What should be centralized versus federated?

Which capabilities belong in a shared platform or center of excellence, and which belong close to the business workflow?

04

How does the talent model need to change?

What new skills, roles, training, incentives, and management expectations are required for AI-enabled work?

05

What should the 2027 AI portfolio contain?

How should leaders balance productivity, revenue, workflow automation, data foundation, security, governance, and strategic bets?

06

Which partners matter most next year?

Where do organizations need technology vendors, advisory partners, implementation support, research access, or peer networks?

07

How will leadership know the model is working?

What metrics, dashboards, reviews, stories, and executive conversations should show whether AI is becoming a real capability?

08

What should the 2027 summit agenda force us to answer?

Which unresolved questions should become MOJO AI Summits tracks, brief topics, speaker invitations, or member working groups?

Run of show

A direct path from fall signal to 2027 operating priorities.

The session compresses series synthesis, peer comparison, and summit planning into one focused executive hour.

Opening

2027 baseline

The moderator frames the operating-model choices that cannot wait for the new year.

Exchange

Leadership design

Each leader compares ownership, funding, talent, governance, and partner priorities.

Close

Summit signal

Participants identify the questions that should shape 2027 programming and cohort work.

Invitation only

For executives ready to make AI manageable in 2027.

Access is curated by the MOJO AI Summits team. The November 27 room is intentionally small so leaders can turn the fall series into a practical operating agenda.