ServicesNZ · 2026
How we embed AI.
We start by listening. We work with you understand to understand your business model and identify where AI would be most effective in your operation, then we build it.
The sixIndex
Jump to a discipline
AI Strategy
A costed, sequenced plan tied to outcomes you can measure.
AI Development and Integration
Language, vision, and predictive models wired into your systems end to end.
Data Engineering
Extract, clean, label, and pipeline the data your models will live on.
Software Design and Development
Web apps, internal tools, portals, and mobile, built around the AI layer.
Machine Learning Model Development
Custom or fine-tuned models on your data, with drift monitoring baked in.
AI Agents
Single and multi-agent systems that do the work a person would do on a computer.
Not sure which fits?
Start with a three-week AI Readiness Audit.
Fixed $2,500, credited against any follow-on work. We leave you with a costed, sequenced plan, tied to outcomes you can measure.
The six disciplinesBefore code
0106
Work out where AI actually belongs in the business.
Before anyone writes code or picks a model, someone needs to work out where AI actually belongs in the business. We look at how your operation runs today, where time and money get lost, and where AI fits the problem rather than the other way around. Sometimes the answer is a small automation that quietly removes half a role's worth of admin. Sometimes it's a larger rebuild. Either way, you leave with a plan that's costed, sequenced, and tied to outcomes you can measure.
Build AI into the workflows you already have.
We build AI into the workflows you have. Language models for documents, classification, extraction, summarisation, and creation. Vision models for inspection and asset recognition. Predictive tooling where the data supports it. Inputs need to come from the appropriate trigger points, outputs need to land in the right system, to the right person, at the right moment. We build full round-trip process automation.
Most AI projects stall on data, not models.
Most AI projects stall on data, not models. We handle the unglamorous work: pulling data out of the systems it's stuck in, cleaning it, structuring it, and enriching it where needed. That includes labelling, annotation, and the pipelines that keep fresh data flowing when live. If your data is messy, we sort it out before pretending a model can.
AI rarely stands on its own.
AI rarely stands on its own. It needs a front end someone can actually use, a back end that scales under load, and integrations with whatever software you already use. We build web apps, internal tools, customer portals, and mobile apps for iOS and Android where it makes sense. Custom software, built for your business.
Sometimes the off-the-shelf APIs don't cut it.
Sometimes the off-the-shelf APIs don't cut it. Your data is unusual, your accuracy requirements are high, or the task is specific enough that a general model won't learn it well. We build custom ML models for those cases, trained and tuned on your data, with monitoring in place to catch drift once they're deployed. Whether that's building from scratch or fine-tuning something existing depends on what the problem actually needs.
Agents are where most of the interesting applications are heading.
Agents are where most of the interesting applications are heading. We build single agents for well-defined jobs and multi-agent systems for workflows where different skills need to hand work between each other. If your existing processes are documented you have a head start. AI agents can do any job that is performed on a computer, given the instructions.