AI consulting for NZ businesses, from strategy to your own private AI

Most businesses know AI could save them time but not where to start, or how to use it without handing their data to someone else. We work out where AI fits in your business, then set up your own private AI system and keep it running.

We run our own business this way

NetPotential runs on a private AI system we built for ourselves: a team of AI agents on our own server in Auckland, working from a shared knowledge base of our clients, projects, prices and procedures. They build and test software, draft proposals, read the accounts, watch our services and write up what they did. None of them can send an email, publish a post or spend money without Tim's approval.

• About 3,000 code commits across 48 projects between June and mid-October 2026
• 104 services and 80 scheduled automations running on one server
• A shared knowledge base of 382 notes and 62 recorded decisions that every agent reads first
• A full marketing audit of this website by 12 agents in about 45 minutes

It is how one senior engineer delivers the output of a much larger agency, and it is the system we set up for clients.

Where AI actually fits in your business

We start like a business analyst, not a salesperson. We sit with the people doing the work, map where time goes, and look for tasks that are repetitive, rules-based or stuck waiting on someone to find information. Typical wins:

• Answering customer and staff questions from your own documents
• Drafting quotes, proposals, reports and replies for a person to approve
• Moving data between systems such as Xero, your CRM and spreadsheets
• Watching inboxes, orders or job queues and flagging what needs a human
• Turning meeting notes and calls into actions

You get a short written roadmap: what to automate first, what it will save, what it will cost, and what we would leave alone.

Your own AI system: private agents that know your data

Instead of every staff member pasting company information into a public chatbot, you get a private system: AI agents connected to your own documents and tools, with permissions you control, running on a private server or on hardware in your office. We call it an AI operating system for your business, because it becomes the place work gets done.

• A knowledge base built from your documents, procedures and history
• Agents for specific jobs, each with only the access it needs
• Connections to the systems you already use
• A record of what each agent did, so you can check its work
• Your choice of AI models, including ones that run entirely on your own hardware

Why private matters under the Privacy Act

The Privacy Commissioner's guidance on generative AI expects businesses to assess privacy risk before using AI tools and to keep personal and confidential information out of tools that retain it. A private system where your data stays on infrastructure you control is the simplest way to meet that. We document where data goes, who can see it, and what is kept.

What a first engagement looks like, and what it costs

After setup: we run and improve it

AI systems drift: models change, prices change, and your business finds new uses. We look after the system like we look after a website, with monitoring, updates and a monthly check-in on what to add next.