AI Strategy Workshop

AI strategy workshop for US leadership teams that need a real decision.

AI strategy workshop for US leadership teams: prioritize use cases, clarify risk and create an executive 30/60/90 AI roadmap.

AI Strategy Workshop: AI Kickstart

Specialist review

This page is for teams reviewing a concrete decision problem more deeply. The simple entry point remains the AI check.

Start AI check

What should an AI strategy workshop deliver for a US company?

Short answer

An AI strategy workshop should help executives choose where AI should start, what must wait and what controls are needed before budget, pilot scope or platform decisions are committed.

01

Decision moment

When AI pressure is high but leadership still needs priority, ownership and a credible next move.

02

Expected outcome

A decision-ready AI roadmap with use-case ranking, approval assumptions and a short decision note.

03

Recommended path

International fit: AI Kickstart turns AI pressure into a practical use-case decision and 30/60/90 execution path.

04

Market fit

For US leadership teams that want faster AI execution without turning strategy into a loose innovation workshop.

Framework

Tirion decision frame

Each page is written as an executive decision surface for US teams: practical, Microsoft-aware and built around the next move.

01Executive intent

Define the business pressure AI must solve, not just the technology theme.

02Use-case portfolio

Rank opportunities by impact, feasibility, risk and sponsor strength.

03Operating guardrails

Surface policy, data and Microsoft ecosystem constraints before the pilot.

0490-day path

Translate the decision into a concrete next-step roadmap.

Tirion decision materials

What the decision process makes tangible

The page is not meant to end in abstract advice. It points toward concrete decision material leadership can use.

Decision memo

A concise leadership brief with the decision, trade-offs, risks, owner and next approval point.

Scorecard / readiness map

A scored view of impact, data readiness, risk exposure, ownership and execution readiness.

Rules & execution path

A practical path for approvals, controls, accountability and the next 30/60/90 days.

Decision questions

Questions leadership should answer before the next move

  • Which AI initiative would still win if we could only fund one pilot?
  • Which risks would block rollout if they are ignored during strategy?
  • What decision should executives be able to make after the workshop?
  • Which idea is attractive but not ready for investment yet?

Red flags

Signals that the work is not ready to scale

  • The workshop produces inspiration without stop criteria.
  • Business and technology teams disagree on what success means.
  • Governance is postponed until after the pilot has already shaped behavior.

Client Story example

Client Story

Situation

A mid-market team had many AI ideas but no shared business ranking.

Approach

Tirion scored the portfolio by impact, feasibility, risk and executive ownership.

Decision

One pilot moved forward, two opportunities went into discovery and several ideas were deliberately paused.

Decision logic

How to decide

IfAI pressure is high but leadership still needs priority, ownership and a credible next move.

then start with AI Kickstart to create a decision-ready path.

Ifrisk, data or responsibilities are unclear

then clarify approvals before committing budget or pilot scope.

Ifthe next decision needs to be carried by leadership

then use a short decision note, trade-offs and a 30/60/90 roadmap.

Start now

Want to clarify the right path?

Start with the AI check to identify whether the next path should begin with Kickstart, AI topic review, Microsoft 365 knowledge and workflows, Pilot Sprint or advisory.