Executive Advisory · Premise to Practice Method
Turn AI possibilities into operating decisions.
Executive Advisory helps leaders use the Premise to Practice Method across live AI work: naming the outcome, questioning inherited constraints, reviewing the evidence, and deciding what earns the right to scale.
A Practical Mandate
Keep the method tied to live decisions.
Every pilot stays connected to the outcome, the constraints around the work, and the evidence coming back from real use.
The team is moving. The operating model has not caught up.
Pilots are appearing, vendors keep calling, and people are building useful things at the edges. The leader still has to decide what gets sponsored, what gets reviewed, and what becomes part of the way the company works.
- Which workflows deserve sponsorship and which should be left alone
- What the human still owns when AI prepares or acts
- How to review quality without turning every run into a committee meeting
- What data, access, and approval boundaries belong around the work
- What evidence justifies the next round of time and money
Executive Advisor
A weekly working session for the leader carrying the AI decisions. We keep the method tied to what changed, where the work is stuck, and what needs a call.
Pilot Design and Review
Support for one high-value pilot, from the outcome and inherited constraints through test evidence, guardrails, and the decision to expand, revise, or stop.
Team Operating Support
A shared cadence for sponsors and working teams as they use the method across pilots, reviews, decisions, and adoption in a function.
Start with 90 days and a small number of live decisions.
We agree on the decisions and workflows in scope, set a weekly working cadence, and keep a written decision log. The work can include a pilot review, a leadership memo, a team session, or a difficult call that needs more than another slide deck.
01
Name the outcome
02
Work in loops
03
Decide from evidence
Start with the audit when the mandate is still fuzzy.
The Audit gives the advisory engagement a concrete starting point: one prioritized pilot, one owner, and one proof plan.
See the AuditWhat this engagement does not pretend to be
- A general AI lecture series
- Outsourced production software development
- A compliance certification or legal opinion
- A promise that every pilot should scale
The First Conversation
Bring the decision that keeps getting pushed to the next meeting.
I will ask what the team owns, what has already been tried, and what would make the next 90 days useful. If the work belongs in a different format, I will say that.
Discuss an advisory engagement