AI Consulting
Practical AI consulting for businesses
The goal is not adopting AI for its own sake. It is identifying where AI creates useful leverage for your business — then making those changes real, with practical, vendor-neutral guidance.
What consulting covers
Eight ways I help you get real value from AI
Engagements mix and match these based on where you are. Most start with an assessment and go as far as makes sense.
AI opportunity assessment
A structured review of your work to find where AI genuinely helps — and, just as importantly, where it does not. You get a prioritized list of opportunities, not a pile of ideas.
Workflow & process analysis
We map how work actually moves through your team today to expose friction, rework, and bottlenecks that AI or automation can remove.
AI strategy
A realistic plan for where AI fits your business over the next few quarters — sequenced by value and effort, and grounded in your constraints.
AI tool selection
Independent recommendations on which tools fit your work, budget, and security requirements. No vendor incentives, just what suits your team.
AI implementation
Hands-on help turning recommendations into working, documented workflows your team can actually use — not slide decks that sit unread.
Responsible AI & policy
Clear internal policies covering data handling, approved tools, verification, and accountability — protecting the business without slowing people down.
AI adoption
Practical change management so new workflows stick: rollout plans, internal champions, and training that meets people where they are.
Ongoing advisory
A steady partner as tools and needs evolve — periodic reviews, new opportunity assessments, and a direct line when questions come up.
How engagements work
A clear path, sized to your needs
From a single consultation call to a larger custom project, the shape stays the same.
- 01
Discovery
A focused conversation about goals, team, and current AI usage.
- 02
Assessment
A close review of workflows to find high-value opportunities.
- 03
Recommendations
Prioritized tools and process changes with clear reasoning.
- 04
Implementation
Build, document, train, then measure and refine.
Example engagement
What a full engagement can look like
Not every project includes every step. This is the complete arc — we use the parts that fit.
Discovery call
Understand your goals, team, and how AI is used today.
Review workflows & pain points
Look closely at where time and effort actually go.
Identify high-value opportunities
Prioritize where AI creates real, measurable leverage.
Recommend tools & process changes
Specific, justified choices — not a generic tool list.
Build or document workflows
Turn recommendations into repeatable, documented processes.
Train employees
Make sure the people doing the work can use the new workflows well.
Measure & refine
Check what is working, adjust, and find the next opportunity.
Not sure where AI fits your business?
That is exactly what the first conversation is for. Book a consultation and we will find out together — with a clear read on what is worth doing.