AI strategy in Nelson.
AI strategy that lives in your stack, not on a vendor's roadmap. Shipped from Nelson-Tasman.
What this is
AI roadmap + plan
A clear-eyed AI roadmap built for your business – not a generic deck. We sit with your team, map the high-value plays, and write the build order. You leave with a plan you could actually start tomorrow.
Most plans pay for themselves in the first build.
How it helps your Nelson team
What you actually get.
- On-site discovery with the people doing the work
- Ranked initiatives with ROI, effort, and risk
- Tool selection – not married to any vendor
- Phased 90-day plan you can execute or hand off
Nelson sits in a regional context that genuinely changes the build. Connectivity assumptions, the rhythm of the working week, the proximity of your team to your customers – none of those are details our default AI strategy template would catch.
If we build the right slice first, Nelson teams feel the difference inside the first month. Most plans pay for themselves in the first build.
The pattern across Nelson engagements we've shipped.
Aquaculture, hops, tourism, and a deep creative sector. Nelson teams want tools that fit a smaller crew without enterprise overhead.
We work with teams in
What we build
AI strategy, tailored to Nelson businesses.
- 01 On-site discovery with the people doing the work
- 02 Ranked initiatives with ROI, effort, and risk
- 03 Tool selection – not married to any vendor
- 04 Phased 90-day plan you can execute or hand off
Common questions
Before you book the call.
How fast could we have AI strategy in production? +
Eight to ten weeks for most Nelson businesses. Faster if your data is in good shape and slower if we're untangling a legacy integration first. We'll give you a realistic number on the scoping call rather than the optimistic one.
What does AI strategy cost for a Nelson? +
Pilots start from a fixed scope priced to land a measurable result inside 6 weeks. Pricing depends on data volume, integration complexity, and whether you need us on managed services afterwards. We'll quote precisely after a 30-minute scoping call.
Anyone else in this space using AI strategy? +
Plenty. Most plans pay for themselves in the first build. The interesting question is rarely "does it work" – it's "is your team ready to use the output." That's what we'd scope on the call.
What if our Nelson doesn't have any data ready? +
Most don't. Getting the data into shape – ingestion, cleaning, the lightweight contracts you need before any model is useful – is part of the engagement. For AI strategy specifically, we typically run that work on Claude, Notion, Miro, Linear and assume messy starting conditions from day one.