AI adoption consulting
Use AI where it pays off, with tools that fit how you already work.
I help smaller companies find where AI is worth using, pick the right tools, and connect them to the systems they already run. Then I measure whether it helped.
- Less repetitive work
- Faster turnaround for clients
- More from the tools you already pay for
Most firms have tried AI. Few have it working day to day.
Firms worldwide have tried AI. Large companies can hire in-house engineers, and they have the budget to match. Smaller firms usually cannot. I fill that gap. I am a principal engineer who has done this work at Intel, Qualcomm, and Dapper Labs, and I do the implementation myself, for a fraction of an enterprise engagement.
65% of SMEs using generative AI report better employee performance, but only 26% report higher revenue.
OECD, November 2025.
- No 90-page decks.
- No 12-month roadmaps.
- No long discovery phase.
What I do
01
Find where AI is worth using.
I look at how the work actually gets done and find the tasks where AI saves real time.
02
Pick the right tools.
Off the shelf, built, ordinary automation, or no AI at all. I start from the problem, not a product.
03
Connect and set it up.
I connect the tools to your email, documents and client systems, and train the team to use them.
04
Measure whether it helped.
We agree the success measure before starting and check the result against the baseline.
How to start
90 minutes
AI Coaching
Bring a real problem. Leave with it solved, and the skills to solve the next one yourself. Fixed price.
About 1 to 2 weeks
AI Adoption Review
Fixed fee. If the review finds no workflow where AI pays off, you don't pay.
Measure after 2 to 4 weeks of use
Setup & Integration
Fixed scope. It starts with a measured pilot on one workflow.
Monthly
Ongoing AI Advisor
A monthly cadence of coaching sessions, plus a note on hours, cost, and what changed.
Results
A marketing agency's SEO audit
The audit meant nine separate manual tools before anyone could brief the client.
I set up an AI-assisted draft the team could review.
Nine manual tools became an AI-assisted 10-slide draft.
Weekly client reporting
Raw website data still needed a person to turn it into a recommendation.
I connected the reporting workflow so the draft arrives ready for review.
70% less manual analytics work.
Lead qualification
Qualifying leads took a long stretch of repetitive calls.
I set up a calling workflow that handles the first pass and hands exceptions to a person.
90% less lead qualification time.
A SaaS company's AI costs
The team was paying for AI tools and models without a clear view of the bill.
I reviewed the stack, the workflows, and the spend.
About 80% lower AI costs.
Your numbers
What does the repetitive work cost?
These figures are yours. The calculator does not assume a result from my projects.
Enter people, weekly hours, and an hourly cost to see the monthly load.
- Intel
- Qualcomm
- Dapper Labs
- MBA
- Founder does the work
- Toronto
- Clients worldwide
Who I work with
Marketing agencies first, then other professional-services firms, usually with 10 to 50 people. That size is a typical fit, not a rule.
Not sure where AI fits yet?
That's the normal starting point. Bring one task that takes your team too much time, and we'll work out whether AI can help. 30 minutes, free, no preparation needed. I'll tell you on the call if there's no opportunity.
Book a call