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Practical
AI
Find where AI saves your team time, then put it to work. Start with a two-week AI Readiness Sprint: a workflow audit, a prioritized roadmap and one working pilot.
What’s included
- 01
AI Readiness Sprint
A workflow audit, a prioritized roadmap and one working pilot.
- 02
Workflow automation
Assistants and automations for intake, reporting and admin.
- 03
AI in your product
Smart search and assistants inside the screens your people already use.
- 04
Team training
Hands-on sessions built around your team’s real work: what to use AI for, what to keep out of it, and the prompts and workflows people keep using after the session.
Why work with me on AI
Working with AI since before ChatGPT.
That’s why I can tell you plainly what AI is good at, where it isn’t, and how to set it up so your team trusts it.
- 01
Since 2018
I was training machine-learning models on drone imagery to measure coastal forests, years before ChatGPT.
See the project → - 02
In the room
With Launch Consulting at the World AI Cannes Festival, our team interviewed Siri co-founder Adam Cheyer, AWS executives and Yann LeCun, then Meta’s Chief AI Scientist.
- 03
With leaders
I filmed 3Seven Consulting’s executive summit, where AI was at the centre of how leaders planned to grow and pivot.
- 04
Close to the builders
I’ve worked alongside directors of AI who spent years at Microsoft and have since moved on to companies like NVIDIA.
- 05
Always learning
I keep learning through Memorisely’s AI bootcamp for product design and Microsoft Ignite.
“Nathan has changed the way Nanoose First Nations operates. Without him we would not be nearly as efficient as we are today. He implemented AI tools and systems in our Social Development department and we can’t wait to bring him back to expand that work into more departments! He was easy to work with, worked and was patient with our outdated technology. Nathan was also very compassionate and supportive when explaining what AI was and how we can implement it. I would highly recommend Nathan to anyone in the market of looking for an AI consultant!”
What this can look like
Examples, not case studies. Each one starts as a small pilot your team reviews.
Intake triage
An assistant reads new enquiries, sorts them and drafts a first reply for your team to review.
A CRM that updates itself
Contacts and conversations logged for you, follow-ups drafted, and Claude connected so you can ask who needs a call this week.
Proposals and quotes
First drafts built from your past work, templates and pricing rules, ready for a person to finish.
Meeting notes to actions
Summaries, decisions and tasks pulled from calls and pushed into the tools you already use.
Internal knowledge assistant
Staff ask questions in plain language and get answers from your own policies, docs and past projects.
Reporting on autopilot
Weekly numbers pulled from your tools into a plain-language summary your leadership actually reads.
Document extraction
Fields from forms, invoices and contracts captured straight into a spreadsheet or CRM.
Content repurposing
One video, talk or article turned into posts, captions and emails in your voice.
Search and help inside your product
Natural-language search over listings, events or inventory, and a help assistant that hands off to a person.
Not ready to talk yet? Get the free AI readiness checklist and see where your team stands.
People stay in charge
Fair questions every team asks, and how each project answers them.
- 01
The worryWill AI replace my people?
How it’s handledNo. It takes the repetitive work off their plate so they have more time for clients. Every project starts with what your team wants to hand off.
- 02
The worryCan we trust what it produces?
How it’s handledNothing reaches a client without a person approving it, and every pilot is tested on your real work before anyone relies on it.
- 03
The worryWill we lose the human touch?
How it’s handledYour clients still hear from you. AI drafts in your voice; your people decide what gets sent and handle the conversations that matter.
- 04
The worryWhat happens to our data?
How it’s handledIt runs on business accounts that don’t train on your data, access matches who can already see what, and sensitive information stays out entirely.
- 05
The worryWhat if it doesn’t work?
How it’s handledPilots are small, with a clear measure of success and an owner on your team. If it isn’t saving time, we fix it or switch it off.
How it works
Fixed scope first, then a retainer if it’s working.
- Step 1
Intro call
Twenty minutes on what’s slow, broken or missing. I’ll tell you what I’d do first.
- Step 2
AI Readiness Sprint
Two weeks, fixed scope: a workflow audit, a prioritized roadmap and one working pilot.
- Step 3
Keep going
Most clients choose to continue on a monthly retainer.
Related work
All 13 projects →
Coastal Resource Mapping/AI adoption
Drones, GIS and machine learning measuring coastal BC forests, with an interface the field team actually uses.
Launch Consulting/AI innovation
A six-year partnership: enterprise platform, design system and AI innovation work.