What you get
The AI Readiness Assessment
- AI Opportunity Map
- Risk and exposure notes
- Technology recommendations
- Recommended next steps
- Implementation fit guidance
Four deliverables, each solving a different decision.
Know what you need? Request training or discuss a project directly. Need help choosing? Start with an AI Readiness Assessment.
Vendor review — a clearer first decision.
Clarify priorities, review options, and decide what deserves time, budget, or no further work.
Good fit if
- There are too many ideas and no sequence
- Interest in AI is broad but not specific
- Leadership is comparing vendors or priorities
- Decisions need sharper framing before anyone acts
Roadmap — turning a decision into a plan people can follow.
Turn the decision into scope, owners, sequence, controls, and a first implementation path.
What you get
A written implementation plan
Phases, owners, systems, dependencies, and the first 90 days, plus which workflows change, what connects, and what waits so the business builds what it will actually use.
See implementation pricingGood fit if
- The direction is chosen, but rollout is still vague
- The implementation path is still uncertain
- Workflow and integration priorities still need sorting
Adoption support — keeping the investment from stalling.
Address confidence, usage habits, training gaps, and workflow friction before the investment stalls.
What you get
For leaders
Help defining success, choosing what matters now, and supporting adoption instead of assuming it will happen on its own.
What you get
For teams
Training, reinforcement, and workflow alignment so the team uses AI with more consistency and better judgment.
See trainingGood fit if
- The tool is chosen, but adoption is not sticking
- The real blocker is confidence or prioritization, not the tool itself
- Follow-through has been weak since rollout
Fractional AI leadership — steady guidance without a full-time hire.
Add ongoing prioritization, responsible-use guidance, and commercial judgment without stretching the team. Available as a retainer.
What you get
Ongoing retainer support
Recurring prioritization calls, responsible-use guidance as new tools come up, and commercial judgment on what's worth building next.
See retainer pricingGood fit if
- You need steady AI leadership without a full-time hire
- Decisions keep coming up faster than the team can evaluate them
- You want one point of accountability for AI judgment calls
Common questions about advisory.
Which advisory track fits the decision in front of you?
Most advisory work falls into four situations: choosing a direction, sequencing the work safely, supporting a rollout once direction is clear, and restarting stalled adoption.
What can you see before committing to advisory?
Advisory should make the next move clearer. See what's included in the AI Readiness Assessment before you commit.
How does advisory support the rollout once direction is clear?
Use this layer when the business is ready to move but the operating path still needs work — turning a chosen direction into a workable sequence.
What happens when tool usage stalls?
Use this support when the real blocker is confidence, prioritization, or weak follow-through rather than the tool itself.