For leaders
You are the one the decision lands on.
The F.O.C.U.S. Decision-Maker's Diagnostic is built for the seat where the final call sits. It does not measure AI enthusiasm. It measures whether your organization has the clarity, capacity, visibility, trust, and support rhythm to adopt anything well.
Who this is for
- CEO or Founder
- Department Head
- Non-Profit Executive
- Faith or Community Leader
- Board Member or Appointee
- School Superintendent
Common risk briefs
- Board exposure
- AI decisions reach the board as governance, liability, and oversight questions. The diagnostic gives you language for that conversation before the board asks.
- Donor, customer, and congregation trust
- Stakeholders do not care about your tool stack. They care that you are stewarding their data, attention, and expectations with care.
- Culture drift and vendor lock-in
- Tools get adopted one enthusiastic team at a time. Without a shared framework, you end up with shadow systems, duplicated spend, and no clear owner.
- Fiduciary duty and competitive positioning
- Every dollar spent on AI is a dollar not spent elsewhere. The bottleneck layer shows where investment will actually move the needle.
Guiding questions by layer
F: Foundation
- What must this system, season, goal, relationship, project, or decision understand about my values, reality, responsibilities, boundaries, needs, and desired direction?
O: Opportunity
- Where am I repeatedly sorting, deciding, delaying, avoiding, rebuilding, overthinking, or carrying something alone?
C: Create
- What needs to be expressed, built, practiced, shared, designed, written, organized, or made?
U: Uplift
- Where could clearer communication, better timing, more care, or thoughtful personalization help someone feel seen, supported, and guided?
S: Support
- What rhythms, reviews, relationships, resources, and maintenance practices will help this grow without becoming another abandoned idea?
Commitments
- Privacy: Know what information enters each tool, notebook, database, conversation, or shared space, and what should remain protected.
- Permission: Get meaningful consent before using another person's words, data, likeness, story, or private information.
- Verification: Check important facts, sources, calculations, assumptions, and outputs before they shape decisions or reach other people.
- Bias: Examine whose assumptions, experiences, needs, and perspectives may be missing or distorted.
- Human Accountability: Keep a named person responsible for consequential decisions, sensitive communication, and the final standard of care.
Start here
Run the diagnostic with your leadership team. Compare bottlenecks. Build one shared language before you evaluate vendors.
Begin the diagnostic
Certified Consultant, Artificial Intelligence
International Association of Artificial Intelligence Consultants