We future-proof organisations in the age of AI. Grow organically and stay ahead with a lasting competitive advantage.
Firms tried AI and failed. They’re tired of slide decks and want a product that actually works.
Scaling means moving from isolated pilots to robust architecture, real data quality, and legacy integration.
ChatGPT doesn’t know how NZ professionals and business owners think. Generic AI fails on specifics.
Architected around NZ-specific frameworks and your domain knowledge. In the architecture, not a post-build config. Not adapted from a US model.
We don’t deliver proofs of concept and leave. Every engagement is scoped to run in real business operations.
Orchestration, QA, guardrails, monitoring, human-review, error handling. Most NZ AI projects skip the harness. We build the whole thing.
30 minutes. We map your workflow and the pain point. No slide deck.
A fixed-price proposal, or a $3K proof of concept we can evaluate together.
We engineer the system or take the POC into production. 8–12 weeks depending on complexity.
Production system. All yours. Or we run it as a containerised service on your behalf.
Structured inputs in. NZ-compliant reports out. Your expert reviews and signs off.
Built forAn agent trained on your company's specific context and domain knowledge. Not just chat — it carries out tasks.
Built forOff-the-shelf PA agents carry security risks or take forever to train. Customise your own, on your terms.
Built forThe LLM is the brain. Without arms and legs it does nothing. We engineer the arms and legs — harness-grade — around state-of-the-art intelligence.
Transport, infrastructure, environmental, consents, design, assessments.
Healthcare, legal, accounting, financial services.
NZIV valuations, Quantity Surveyor take-off, property assessments.
| Project | Scope | Investment |
|---|---|---|
| Proof of concept | One working output for you to evaluate before full build. | $3,000 |
| Focused build | One workflow, three agents, production-ready. | From $8,000 |
| Integrated system | Multi-agent workflow, complex domain knowledge. | $15,000 – $30,000 |
| Custom | Tell us and we'll quote it. | On request |
Generic AI tools don't understand NZ regulatory frameworks. They don't know what an ITA requires under the Auckland Transport guidelines, or how a resource consent submission needs to be structured under your district plan. We build specifically for your document types and compliance requirements. The domain-specific engineering is the entire point.
Our project pricing starts at $8K. The average professional service bills at $100–250/hr. Taking automated document production as an example, if a standard report takes 40–60 hours, automating it recovers $6,000–$15,000 in billable time — per report. The question isn't whether the economics work. It's whether your volume is high enough to make a dedicated system worthwhile. That's what the discovery call establishes.
You can. Here's what that realistically involves: 4–6 weeks building the NZ regulatory knowledge layer (district plan variability, RMA section mapping, AT ITA guideline compliance) before you've written a line of workflow logic. Then the orchestration layer. Then QA and error handling. Then integration with your existing tools. Then maintenance every time something updates. A senior AI engineer in NZ costs $120–180K/yr. A fixed-price Lumora AI project costs $8–30K, delivered in 8–12 weeks, and you own everything. The maths usually favour hiring us.
Your data stays in NZ-hosted infrastructure. We sign NDAs before any engagement begins and work within your firm's security and confidentiality requirements. Professional services confidentiality is non-negotiable — we build for it from day one.
Scale output without scaling headcount.
Which document types take the most time.
Direct answer. No sales process.
Clear number. Clear timeline.
Data stays in New Zealand.
Defined scope before we start.
Signed before any details.
Code, config, all of it.
