01 · Governance
Where is AI already being used, with or without approval?
Before leaders set direction, they need a clear view of what is already happening.
Executive Working Sessions
Put live AI decisions in one room.
A tailored working session for leaders who need governance, policy, risk, and practical technology decisions turned into a clear internal direction.
Who 8-15 leaders
Format Two half-days
Focus Active AI questions
Result Clear direction
The session
Not passive AI training. A structured room for decisions already affecting the organization.
The format is visible. Who attends, how the work is shaped, and what the session should answer are clear before the first call.
The questions are real. The work starts from live AI use, vendor claims, policy drafts, and ownership gaps.
The first step is fit. We test whether the people, pressure, and decisions make a session worth running.
Leadership questions
The session begins with the decisions already in motion.
You do not need a finished AI strategy to begin. You need a way to see which questions belong together, who needs to answer them, and what can move next.
02 · Ownership
Who decides what is allowed when security, legal, IT, and operations are all affected?
The session makes ownership explicit without pretending one function can solve the whole problem.
03 · Procurement
Which vendor or tool decisions need review before the organization commits?
A shared review keeps a sales claim from becoming an operating assumption too early.
04 · Sequencing
What needs a decision now, and what should wait?
Some decisions need action. Others need a better question before the organization moves.
The decision room
Governance questions need technical consequences attached.
The room is structured around decisions that already cross departments. Each thread connects a live signal to governance, technology, and leadership action.
Live signal Governance question Technology consequence Leadership decision
A team is already using AI tools
Governance questionWhat use should be allowed, constrained, or escalated?
Technology consequenceWhere does data flow, and what controls exist?
Leadership decisionWho owns the boundary now?
A vendor claims AI capability
Governance questionWhat must procurement, risk, and policy evaluate?
Technology consequenceWhat capability is real, and what would integration require?
Leadership decisionWhat decision can be made safely?
A policy draft is underway
Governance questionWhich decisions does the policy actually govern?
Technology consequenceWhich tools, workflows, and permissions must the policy reflect?
Leadership decisionWhat should move first, and what should wait?
Why KindLogic
The co-facilitator model is part of the offer design.
Jordan keeps governance, policy, ethics, and accountability in view. Alonso grounds the same decisions in capability, infrastructure, security, and implementation reality.
Governance lead
Jordan Loewen-Colón, PhD
Jordan keeps governance, policy, ethics, accountability, vendor evaluation, and institutional risk in view while the room works through AI decisions.
- Queen's University
- Harvard Business Review
- Aspen Institute
- AI Alt Lab
Technology lead
Alonso Gutierrez
Alonso grounds the same decisions in capability, infrastructure, security, implementation constraints, and what teams can realistically operate.
- Twitter SRE
- Huawei Noah's Ark Lab
- Interbank
- University of Pennsylvania
Start with a conversation
Bring the AI questions already active in your organization.
A first conversation clarifies whether an Executive Working Session matches the people, pressure, and decisions in front of you.
Discuss an Executive Working Session